WO2008112335A1 - Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle - Google Patents

Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle Download PDF

Info

Publication number
WO2008112335A1
WO2008112335A1 PCT/US2008/050759 US2008050759W WO2008112335A1 WO 2008112335 A1 WO2008112335 A1 WO 2008112335A1 US 2008050759 W US2008050759 W US 2008050759W WO 2008112335 A1 WO2008112335 A1 WO 2008112335A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
route
estimated
determining
fuel
Prior art date
Application number
PCT/US2008/050759
Other languages
French (fr)
Inventor
Jon Vavrus
Original Assignee
Mitac International Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitac International Corporation filed Critical Mitac International Corporation
Priority to DE112008000625T priority Critical patent/DE112008000625T5/en
Publication of WO2008112335A1 publication Critical patent/WO2008112335A1/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3469Fuel consumption; Energy use; Emission aspects

Definitions

  • the present invention relates to navigation systems and more specifically to navigation systems for suggesting routes for vehicles navigating streets where the suggested routes are based at least partially on fuel efficiency for the vehicle even more specifically the present invention relates to suggesting a route based on at least one estimated speed for the suggested route.
  • GPS Global Positioning Systems
  • Selecting a Route According to Fuel Consumption provides for determining a least fuel consumption route in view of the altitude information of the route, but does not account for the effect of speed on the fuel efficiency of the vehicle and does not account for the usage of fuel for stopping or slowing down to turn.
  • the estimated fuel consumption is further based on the number of estimated stops in a route and on the estimated number of times the vehicle will slow down to turn.
  • the suggested route has constraints placed on it by user preferences.
  • real-time information and actual driver behavior data is used in computing the estimated amount of fuel usage.
  • an apparatus for determining a suggested route having an estimated minimum fuel usage from a start location to a destination location for a vehicle based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route.
  • the apparatus comprises an antenna for receiving signals from GPS satellites, and a GPS operable to determine the current location of the vehicle based on the received signals from the GPS satellites.
  • the apparatus further comprises a navigation system having a route determiner operable to determine the suggested route based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route.
  • the estimated fuel efficiency for the vehicle is based on at least aggregated data for the vehicle or at least on aggregated data for the class of vehicle.
  • FIG. 1 is a representative diagram of one embodiment of a navigation system for determining a route having an estimated minimum fuel usage
  • FIG. 2 is a representative diagram of one embodiment of the navigation system of FIG.
  • FIG. 3 is a schematic diagram of an example of three routes having segments and nodes with a start location and a destination location;
  • FIG. 4 is a flow chart of an illustrative example of using the route determiner of FIG. 1 for determining a route having an estimated minimum fuel usage; and
  • FIG. 5 is a flowchart of one embodiment of a method on an apparatus for determining a route having an estimated minimum fuel usage.
  • FIG. 1 depicts one embodiment of a navigation system 20 situated in a vehicle 22 for determining a suggested route having an estimated minimum fuel usage based at least on an estimated effect of speed of the vehicle on the efficiency of fuel consumption.
  • the navigation system 20 determines the suggested route further based on the number of estimated stops in a route and the estimated number of times the vehicle will slow down to turn.
  • the vehicle 22 is a means of transport on land such as a passenger car, sport utility vehicle, truck, scooter, or motorcycle.
  • the vehicle 22 includes a user 24, a motive source 26, a fuel 28, and a fuel efficiency curve 30.
  • the user 24 is a person such as the driver of the vehicle
  • the motive source 26 is an internal combustion engine running on gasoline, or one of the many alternatives such as an electric motor using electricity.
  • the motive source 26 uses the fuel 28.
  • the fuel 28 is gasoline, or a substitute or alternative such as diesel gasoline, alcohol, ethanol, hydrogen, natural gas, etc.
  • the fuel 28 is a battery or alternatively a fuel cell.
  • the fuel efficiency curve 30 is how efficiently the motive source 26 uses the fuel 28 to propel the vehicle 22 at different speeds of the vehicle 22.
  • a typical passenger car might get 30 miles/gallon for a speed of 55 miles/hour, but only get 20 miles/gallon for a speed of 85 miles/hour.
  • the fuel efficiency curve 30 in this case would have miles/gallon on the vertical axis and miles/hour on the horizontal axis.
  • reasons inherent to the design of the motive source 26 reasons inherent to the design of the fuel 28, e.g. a battery, reasons inherent to the design of the vehicle 22, and reasons inherent to the physics of moving a vehicle
  • the navigation system 20 includes a CPU 34, a memory 36, a communication device 38, a GPS system 40, a display device 42, and an input device 44, all of which are communicatively coupled with one each other. In some embodiments, the communication device 38 and/or the GPS system 40 are not included.
  • the navigation system 20 further includes a route determiner 46 disposed in the memory 36 and a street and road data 46 disposed in the memory 36.
  • the CPU 34 is a central processing unit (“CPU"), or alternatively any device disposed for processing the instructions and data contained in the memory 36.
  • the memory 36 is random access memory (“RAM”), and non-volatile storage of read-only memory (“ROM”), or alternatively a hard-disk, or flash memory.
  • the memory 36 is remotely located and accessed by the navigation system 20 by using the communication device 38.
  • the communication device 38 has an antenna and electronics for transmitting and receiving signals such as GSM, or alternatively a local area network (LAN) signals such as 802.11.
  • the communication device 38 is shared with the GPS system 40.
  • the display device 42 is an LCD display within the vehicle 22 or alternatively a speaker giving voice commands.
  • the input device 44 is a touch screen or alternatively a microphone with the CPU 34 disposed for voice recognition, or input device can be a keyboard.
  • the display device 42 and the input device 44 can be remotely located and in communication with the navigation system 20 over the communication device 38.
  • the display device 42 can be a home computer LCD monitor and the input device 44 can be the mouse on the home computer with a friend of the driver of the vehicle 22 remotely aiding the driver in navigating the vehicle 22.
  • the GPS system 40 includes an antenna 48, a signal processor 50, CPU 52, and a memory 54.
  • GPS systems 40 are well-known in the art.
  • the antenna 48 is for receiving signals from the GPS satellite constellation 60.
  • the signal processor 50 is for processing the signals received from the GPS satellite constellation 60 into a digital format that the CPU 52 can process.
  • the GPS system 40 includes a separate CPU 52 and memory 54 enabled to process the signals received from the satellite constellation 60 and calculate a location on the surface of the Earth based on the received signals.
  • the GPS system 40 shares one or more of the antenna 48, the signal process 50, the CPU 52, and the memory 54, with the navigation system 20.
  • FIG. 2 depicts the street and road data 58, the route determiner 46, a route 60, and a suggested route 62.
  • the street and road data 58 includes an aggregated efficiency data 64, a user route preferences data 62, a real-time route information data 64, a segment information data 66, and an actual driver behavior data 70. It should be understood that although street and road data 58 is depicted as having a particular organization for ease of discussion that the data itself may be organized differently. For example, in some embodiments all the data in street and road data 58 resides in a single database.
  • the aggregated efficiency data 64 includes efficiency data that is not specific to the particular vehicle 22, but rather based on aggregated efficiency data 64 for the vehicle 22, such as the year the vehicle 22 was manufactured, or the number of cylinders of the vehicle 22, or the make and the model of the vehicle 22. Table 4 below is an example of aggregated efficiency data 64 showing the estimated fuel efficiency curves 30 for vehicles 22 manufactured in the years 1973, 1984, or 1997. The aggregated efficiency data 64 is used to approximate the fuel efficiency curve 30 for the vehicle 22.
  • User route preferences data 66 includes, but is not necessarily limited to, data relevant to user route preferences such as whether the user 24 would like to avoid dangerous intersection, whether the user 24 would like to avoid frequent stops, and whether the user 24 would like to avoid highways or backstreets.
  • Real-time route information data 68 includes current traffic conditions, current accident reports, weather information, current construction sites, etc.
  • Actual driver behavior data 70 includes data collected from the driving behavior of a user 20 such as whether a user 20 regularly speeds, whether the user 20 accelerates fast and thus uses more fuel in a stop then a typical driver, etc.
  • Segment information data 72 includes the speed limit of streets, the direction of travel for streets, whether there is a stop sign or stop light at an intersection, bends in streets, length of streets, whether a vehicle 22 will need to slow down to turn, whether a vehicle will have to slow down due to a bend in the street, etc.
  • the data 64, 66, 68, 70, 72 is locally stored, or in the alternative the data 64, 66, 68, 70, 72 can be remotely stored, hi some embodiments, the data 64, 66, 68, 70, 72 is partially stored locally and partially stored remotely.
  • the route 60 is a route from a start location 76 of a vehicle 22 to a destination location
  • the start location 76 and the destination location 78 are places on the surface of the Earth.
  • the segment 80 is a street, road, turnpike, or other path for a vehicle with a speed limit, hi some embodiments, the speed limit for a segment 80 is estimated based on data in street and road data 58.
  • the route 60 may contain turn information between two of the segments 80 and information regarding the intersection between two of the segments 80.
  • the suggested route 62 is a selected one of one or more of the routes 60 having an estimated minimum fuel usage 74.
  • the estimated minimum fuel usage 74 is calculated by the route determiner 46. In some embodiments the estimated minimum fuel usage 74 is discarded and only the suggested route 62 is retained.
  • the route determiner 46 determines the suggested route 62 having an estimated minimum fuel usage 74 from a start location 76 of a vehicle 22 to a destination location 78 for the vehicle 22 based on estimated fuel efficiency for the vehicle 22 and further based on at least one estimated speed for the vehicle 22 for at least one segment 80 of the suggested route 62.
  • the route determiner 46 is arranged to determine the start location 76 for the vehicle 22 by receiving input from the user 24 of the navigation system 20 using the input device 44 or in the alternative the route determiner 46 can determine a start location 76 for the vehicle 22 by receiving the current location from the GPS system 40.
  • the route determiner 46 is arranged to receive the destination location 78 for the vehicle 22 from the user 24 using the input device 44.
  • the route determiner 46 determines the route 60 by developing partial routes from both the start location 76 and the destination location 78, always keeping the lower fuel use partial routes as the partial routes are expanded.
  • the route determiner 46 uses the data in segment information data 72 for estimating the number of stops and the estimated speed, and the estimated number of times the vehicle 22 will slow down to turn, and the estimated number of times the vehicle 22 will slow down due to a bend in the segment 80.
  • the route determiner 46 uses the data in aggregated efficiency data 64 for estimating the fuel efficiency of the vehicle 22 which is based on aggregated data for the vehicle 22. Table 4 is an example of the type of data that is in aggregated efficiency data 64 and which is used to estimate the amount of fuel the vehicle 22 will use for a route 60.
  • the route determiner 46 uses data gathered from the operation of the vehicle 22 for estimating the fuel efficiency of the vehicle 22. After the suggested route 62 is determined, preferably, the route determiner 46 displays turn-by-turn instructions on display device 42, guiding the driver of the vehicle 22 to the destination location 78. In some embodiments, the route determiner 46 is arranged to continuously display on the display device 42 a recommended speed for the vehicle 22 to travel in order to attain the estimated minimum fuel usage 74 that was calculated for the suggested route 62. In some embodiments, the route determiner 46 is arranged to continuously recalculate a new suggested route 62 based on the current location of the vehicle 22.
  • the route determiner 46 is arranged to adjust calculations based on actual driver behavior data 70 in building the route 60. For example, the route determiner 46 uses the speed limit of a segment 80 plus 10 miles per hour for the estimated speed in calculating the estimated amount of fuel that will be used for a user 22 that typically speeds 10 miles per hour over the speed limit. In some embodiments, the route determiner 46 is arranged to output for consumption by the user 22 a list of driving styles, for example "like to speed", "don't usually speed", etc., and receive from the input device 44 a selected driving style from the user 24, and then determine the suggested route 62 based on this received driving style by basing calculations of estimated fuel usage using the received driving style of the user 24.
  • driving styles for example "like to speed", "don't usually speed", etc.
  • the route determiner 46 is arranged to build the route 60 based on the realtime route information 68 by adjusting the estimated fuel usage for segments 80 with traffic delays. In some embodiments, the route determiner 46 is arranged to adjust the estimated speed of segments based on the use of real time route information 68. In some embodiments, real time route information 68 includes historical route traffic information. In some embodiments, the route determiner 46 is arranged to reject one or more of the segment 80 or to add fuel usage to one or more of the segment 80 based on the user route preferences data 66.
  • the route determiner 46 will then in some embodiments not include a segment 80 if that segment 80 includes a dangerous intersection, hi another example, the route determiner 46 only chooses a route 60 that does not include traveling on highways.
  • FIG. 3 depicts an example of three possible routes route A, route B, and route C from a start location to a destination location.
  • Route A has 5 segments.
  • Route B has 4 segments.
  • Route C has 5 segments.
  • the three routes are alternatives for the route determiner 46 to select from in determining a suggested route 62 having an estimated minimum fuel usage 74 from the start location to the destination location.
  • Table 1 depicts information for route A. The information in Table 1 is stored in segment information data 72.
  • route A has 5 segments forming a route from the start location to the destination location.
  • a segment in this embodiment is a street or multiple streets that have the same speed limit and do not include a right or left turn.
  • Segment 1 of route A is 8 miles long and has 2 extra nodes or cross streets (illustrated in FIG. 3) and has a speed limit of 35 miles per hour.
  • An extra node is a cross street, where it is not known whether or not the vehicle 22 will have to stop at the cross street or not.
  • the total length of the 5 segments in Route A is 20 miles.
  • the route determiner 46 determines the "Time" column of Table 1.
  • the "Time” column is an estimated time for the vehicle 22 to travel the segment.
  • the route determiner 46 estimates that it will take the vehicle 22 .2305 hours to travel segment 1.
  • the "Fuel" column of Table 1 refers to an estimated amount of fuel for the vehicle 22 to travel segment 1 as calculated by the route determiner 46.
  • the route determiner 46 estimates that it will take the vehicle 22 .4280 fuel units to travel segment 1.
  • Fuel units are used rather than a specific unit of measure such as gallons since in this case the estimates for fuel use are based on aggregated data for the vehicle that includes data for vehicles that have different weights. It turns out that the fuel efficiency curve 30 has the same shape for different vehicles manufactured in the same year, but due to the weight differences of the vehicles the absolute values of fuel use are different, therefore to compensate a relative measure of fuel use is used by the route determiner 46.
  • Table 2 and FIG. 3 is information regarding route B, having segment 1, segment 2, segment 3, and segment 4.
  • Table 3 and FIG. 3 is information regarding route C, having segment 1, segment 2, segment 3, segment 4, and segment 5.
  • the route determiner 46 will determine which of the three candidate routes A, B, and C from the start location 76 to the destination location 78, has the estimated minimum fuel usage 74 for a vehicle 22 .
  • Table 4 illustrates expected miles per gallon for a typical vehicle 22 manufactured in
  • the estimated fuel efficiency is for a typical vehicle 22 manufactured in 1973, 1984, or 1997. This data is then being used to estimate the actual fuel efficiency curve 30 of the vehicle 22. For this example, we assume the vehicle 22 was manufactured in 1997.
  • the aggregated data in Table 4 is for a typical vehicle 22 manufactured in 1997, where relative measures of fuel efficiency were aggregated. The reason relative data was aggregated rather than absolute data is partially due to the differences in vehicle weight.
  • the relative estimated fuel consumed is compared by the route determiner 46. For example, for a 1997 vehicle 22 the estimated fuel efficiency for 15 miles/hour is 24.4 miles/gallon and the estimated fuel efficiency for 55 miles/hour is 32.4, so for any particular 1997 vehicle 22, the fuel efficiency can be compared between the two speeds with, (32.4 / 24.4) * 100, or a 1997 vehicle 22 is estimated to be 133 percent more efficient using fuel at 55 miles per hour than at 15 miles per hour.
  • FIG. 4 depicts a flow chart of an illustrative example of using the route determiner 46.
  • the route determiner 46 estimates a relative amount of fuel usage for the vehicle 22 for a route 60 having n segments 80, based on the estimated fuel efficiency for different speeds of the vehicle 22 from Table 4 and estimated speeds for the routes 60 using Table 1, Table 2, Table 3, and based on the number of nodes (cross streets where it is not known whether the vehicle will have to stop) in a route 60 using Table 1, Table 2, Table 3, the number of turns in a route 60, the number of toll booths in a route 60, and the number of estimated stops in a route 60, where the number of estimated stops is estimated based on the speed limits of the segment 80.
  • route A there are 5 segments depicted in FIG. 3, and as illustrated in Table 1.
  • vehicle 22 was manufactured in 1997.
  • the total fuel estimate is set to zero.
  • the route determiner 46 will do the following statements for each segment of the route
  • step 106 look up fuel efficiency ("FE") which is based on vehicle 22 and speed of segment 1 of route A.
  • Table 1 represents that the estimated speed, here the speed limit, for segment 1 of route A is 35 mile/hour.
  • Table 4 represents that the estimated fuel efficiency for a 1997 vehicle 22 at a speed of 35 miles/hour is 31.2 miles/fuel unit.
  • step 206 (calculated in step 206).
  • step 110 it is determined whether this is a restricted access segment?. Segment 1 of route A is not a restricted access segment (from Table 1).
  • step 112 it is determined whether there is a toll booth on this segment? Segment 1 of route A does not a toll booth (from Table 1).
  • step 112 it is determined whether there is a toll booth on this segment? Segment 1 of route A does not a toll booth (from Table 1).
  • step 116 it is determined whether segment l's speed class is greater than 25 mph? Segment 1 of route A speed class is 35 mph (from Table 1), so the answer is yes.
  • the speed is being used here to estimate the number of stops in that it is not known if there is a stop sign or light at an intersection, but a heuristic is used based on the speed limit of the segment.
  • a node is an intersection, where the vehicle 22 may have to stop.
  • step 122 was a turn required to enter this segment? There was a turn required to enter segment 1 of route A. This information is represented in FIG. 3, and may be contained in segment information data 72 (FIG. 2.)
  • Fi .423 as just calculated and as represented in Table 1 for segment 1 of route A.
  • step 128, Next I? Since i l currently and there are 5 segments in route A, the answer is yes.
  • step 104 i is incremented to 2 and then F 2 is calculated in a similar manner as F 1 was just calculated.
  • FIG. 5 depicts an embodiment of a method that is performed by the system of FIG. 1 for determining a suggested route 62 having an estimated minimum fuel usage 74.
  • the flow starts at Block 200.
  • the flow continues with Block 202 determining at a computer device a start location 76 for a vehicle 22. This is accomplished by the GPS system 40 of FIG. 1, or in another embodiment received from a user 24.
  • the flow proceeds to Block 204 receiving at a computer device a destination location 78.
  • the destination location 78 is received from an input device 44 by the user 24. In other embodiments, the destination location 78 is received across a communication link.
  • the flow proceeds to Block 206 determining a suggested route 62 having an estimated minimum fuel usage 74 from the start location 76 to the destination location 78 for the vehicle 22 based on estimated fuel efficiency for the vehicle 22 and further based on at least one estimated speed for at least a portion of the route 60.
  • the suggested route 62 is be determined locally by the navigation system 20 of the vehicle 22, or alternatively it is determined across a communication device 38.
  • the estimated fuel efficiency of the vehicle 22 is based on the year the vehicle 22 was manufactured or the number of cylinders of the vehicle 22, or on the make and model of the vehicle 22, or another source of information such as historical fuel usage, measured fuel usage, etc..
  • the flow proceeds to Block 208 to outputting at a display device 42 the route for consumption by a user 24.
  • the suggested route 62 is displayed on the display device 42 in street by street directions. Alternatively, the suggested route 62 could be communicated to the user 24 by use of a speaker.

Abstract

Apparatus, methods, processors and computer readable media for determining a suggested route having an estimated minimum fuel usage for a vehicle based on a estimated fuel efficiency for the vehicle for different speeds of the vehicle and based on estimated speeds for the route. The estimated fuel efficiency for the vehicle is based on aggregated data for the vehicle. Alternatively, the estimated fuel efficiency is based on actual data for the vehicle. In some embodiments, suggested routes are constrained by user route preferences, and real-time route information. Alternatively or additionally, the estimated fuel usage is based on actual driver behavior data.

Description

METHODS AND APPARATUS FOR DETERMINING A ROUTE HAVING AN ESTIMATED MINIMUM FUEL USAGE FOR A VEHICLE
FIELD
[0001] The present invention relates to navigation systems and more specifically to navigation systems for suggesting routes for vehicles navigating streets where the suggested routes are based at least partially on fuel efficiency for the vehicle even more specifically the present invention relates to suggesting a route based on at least one estimated speed for the suggested route.
BACKGROUND
[0002] Global Positioning Systems ("GPS") enable a device to determine its location on the surface of the Earth. Many systems have been developed that utilize GPS to assist drivers in navigating their vehicles. Before GPS, the driver had a difficult time not only finding a route between their current location and a selected destination, but also in selecting the best route to meet the driver's goals.
[0003] One goal some drivers have is to minimize the amount of fuel usage required to travel between the current location and a selected destination. This goal has become even more pronounced with the rising cost of fuel. Finding the street route that will use the minimum fuel usage can be very difficult as it can depend on many factors, including the grade of the streets, the traffic conditions, the number and length of stops in the route, the speed limits of the street route, and the effect of speed on the fuel efficiency of the vehicle. This is further complicated because the exact conditions of the vehicle and the route may not be known. And further, it may be that the driver desires to avoid problems in the route such as dangerous intersections.
[0004] U.S. Patent No. 5,742,922 entitled "Vehicle Navigation System and Method for
Selecting a Route According to Fuel Consumption" provides for determining a least fuel consumption route in view of the altitude information of the route, but does not account for the effect of speed on the fuel efficiency of the vehicle and does not account for the usage of fuel for stopping or slowing down to turn.
[0005] Accordingly, it would be advantageous to provide methods and apparatus that allow for determining a route having a minimum fuel usage for a vehicle based on the estimated effect of speed on the fuel consumption of the vehicle and estimated speeds for the street route as well as an estimated amount of fuel used based on an estimated number of stops the vehicle will make and an estimated number of times the vehicle will slow down to turn. It would be further advantageous to take into account the driver's preferences for a route.
SUMMARY
[0006] It is therefore an object of the present invention to provide a method for a navigation system to determine an estimated minimum fuel usage route for a vehicle based at least on the estimated effect of speed of the vehicle on the efficiency of fuel consumption. In one embodiment, the estimated fuel consumption is further based on the number of estimated stops in a route and on the estimated number of times the vehicle will slow down to turn. [0007] In another embodiment, for example, a method for determining a suggested route having an estimated minimum fuel usage from a start location to a destination location for a vehicle based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route. In some embodiments, the suggested route has constraints placed on it by user preferences. In some embodiments, in addition to route information, real-time information and actual driver behavior data is used in computing the estimated amount of fuel usage.
[0008] In another embodiment, an apparatus is illustrated for determining a suggested route having an estimated minimum fuel usage from a start location to a destination location for a vehicle based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route. The apparatus comprises an antenna for receiving signals from GPS satellites, and a GPS operable to determine the current location of the vehicle based on the received signals from the GPS satellites. The apparatus further comprises a navigation system having a route determiner operable to determine the suggested route based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route. The estimated fuel efficiency for the vehicle is based on at least aggregated data for the vehicle or at least on aggregated data for the class of vehicle.
[0009] Still other objects and advantages of the present invention will become readily apparent to those skilled in the art from the following detailed description, wherein the preferred embodiments of the invention are shown and described, simply by way of illustration of the best mode contemplated of carrying out the invention. As will be realized, the invention is capable of other and different embodiments, and its several details are capable of modifications in various obvious respects, all without departing from the invention. Accordingly, the drawings and description thereof are to be regarded as illustrative in nature, and not as restrictive.
BRIEF DESCRIPTION OF THE DRAWINGS [0010] The present invention is illustrated by way of example, and not by limitation, in the figures of the accompanying drawings, wherein elements having the same reference numeral designations represent like elements throughout and wherein: [0011] FIG. 1 is a representative diagram of one embodiment of a navigation system for determining a route having an estimated minimum fuel usage; [0012] FIG. 2 is a representative diagram of one embodiment of the navigation system of FIG.
1; [0013] FIG. 3 is a schematic diagram of an example of three routes having segments and nodes with a start location and a destination location; [0014] FIG. 4 is a flow chart of an illustrative example of using the route determiner of FIG. 1 for determining a route having an estimated minimum fuel usage; and [0015] FIG. 5 is a flowchart of one embodiment of a method on an apparatus for determining a route having an estimated minimum fuel usage.
DETAILED DESCRIPTION
[0016] FIG. 1 depicts one embodiment of a navigation system 20 situated in a vehicle 22 for determining a suggested route having an estimated minimum fuel usage based at least on an estimated effect of speed of the vehicle on the efficiency of fuel consumption. In some embodiments, the navigation system 20 determines the suggested route further based on the number of estimated stops in a route and the estimated number of times the vehicle will slow down to turn. [0017] The vehicle 22 is a means of transport on land such as a passenger car, sport utility vehicle, truck, scooter, or motorcycle. The vehicle 22 includes a user 24, a motive source 26, a fuel 28, and a fuel efficiency curve 30. The user 24 is a person such as the driver of the vehicle
22 or a passenger of the vehicle 22. Alternatively, in other embodiments the user 24 is remotely located from the vehicle 22 and communicates remotely with the navigation system 20. For example, the user 24 can be a person remotely located assisting the driver of the vehicle 22 in navigating the vehicle 22. The motive source 26 is an internal combustion engine running on gasoline, or one of the many alternatives such as an electric motor using electricity. The motive source 26 uses the fuel 28. For an internal combustion engine the fuel 28 is gasoline, or a substitute or alternative such as diesel gasoline, alcohol, ethanol, hydrogen, natural gas, etc. For an electric motor the fuel 28 is a battery or alternatively a fuel cell. The fuel efficiency curve 30 is how efficiently the motive source 26 uses the fuel 28 to propel the vehicle 22 at different speeds of the vehicle 22. For example, a typical passenger car might get 30 miles/gallon for a speed of 55 miles/hour, but only get 20 miles/gallon for a speed of 85 miles/hour. The fuel efficiency curve 30 in this case would have miles/gallon on the vertical axis and miles/hour on the horizontal axis. There are many reasons why the efficiency of the motive source 26 varies depending on the speed of the vehicle 22. The reasons include reasons inherent to the design of the motive source 26, reasons inherent to the design of the fuel 28, e.g. a battery, reasons inherent to the design of the vehicle 22, and reasons inherent to the physics of moving a vehicle
22 on the surface of the earth, including wind resistance.
[0018] The navigation system 20 includes a CPU 34, a memory 36, a communication device 38, a GPS system 40, a display device 42, and an input device 44, all of which are communicatively coupled with one each other. In some embodiments, the communication device 38 and/or the GPS system 40 are not included. The navigation system 20 further includes a route determiner 46 disposed in the memory 36 and a street and road data 46 disposed in the memory 36. The CPU 34 is a central processing unit ("CPU"), or alternatively any device disposed for processing the instructions and data contained in the memory 36. The memory 36 is random access memory ("RAM"), and non-volatile storage of read-only memory ("ROM"), or alternatively a hard-disk, or flash memory. Alternatively, the memory 36 is remotely located and accessed by the navigation system 20 by using the communication device 38. The communication device 38 has an antenna and electronics for transmitting and receiving signals such as GSM, or alternatively a local area network (LAN) signals such as 802.11. Alternatively, the communication device 38 is shared with the GPS system 40. For example, in an embodiment, there is only a single antenna shared by the navigation system 20 and the GPS system 40. The display device 42 is an LCD display within the vehicle 22 or alternatively a speaker giving voice commands. The input device 44 is a touch screen or alternatively a microphone with the CPU 34 disposed for voice recognition, or input device can be a keyboard. Further, in some embodiments the display device 42 and the input device 44 can be remotely located and in communication with the navigation system 20 over the communication device 38. For example, the display device 42 can be a home computer LCD monitor and the input device 44 can be the mouse on the home computer with a friend of the driver of the vehicle 22 remotely aiding the driver in navigating the vehicle 22.
[0019] The GPS system 40 includes an antenna 48, a signal processor 50, CPU 52, and a memory 54. GPS systems 40 are well-known in the art. The antenna 48 is for receiving signals from the GPS satellite constellation 60. The signal processor 50 is for processing the signals received from the GPS satellite constellation 60 into a digital format that the CPU 52 can process. The GPS system 40 includes a separate CPU 52 and memory 54 enabled to process the signals received from the satellite constellation 60 and calculate a location on the surface of the Earth based on the received signals. Alternatively, the GPS system 40 shares one or more of the antenna 48, the signal process 50, the CPU 52, and the memory 54, with the navigation system 20.
[0020] FIG. 2 depicts the street and road data 58, the route determiner 46, a route 60, and a suggested route 62. The street and road data 58 includes an aggregated efficiency data 64, a user route preferences data 62, a real-time route information data 64, a segment information data 66, and an actual driver behavior data 70. It should be understood that although street and road data 58 is depicted as having a particular organization for ease of discussion that the data itself may be organized differently. For example, in some embodiments all the data in street and road data 58 resides in a single database.
[0021] The aggregated efficiency data 64 includes efficiency data that is not specific to the particular vehicle 22, but rather based on aggregated efficiency data 64 for the vehicle 22, such as the year the vehicle 22 was manufactured, or the number of cylinders of the vehicle 22, or the make and the model of the vehicle 22. Table 4 below is an example of aggregated efficiency data 64 showing the estimated fuel efficiency curves 30 for vehicles 22 manufactured in the years 1973, 1984, or 1997. The aggregated efficiency data 64 is used to approximate the fuel efficiency curve 30 for the vehicle 22. User route preferences data 66 includes, but is not necessarily limited to, data relevant to user route preferences such as whether the user 24 would like to avoid dangerous intersection, whether the user 24 would like to avoid frequent stops, and whether the user 24 would like to avoid highways or backstreets. Real-time route information data 68 includes current traffic conditions, current accident reports, weather information, current construction sites, etc. Actual driver behavior data 70 includes data collected from the driving behavior of a user 20 such as whether a user 20 regularly speeds, whether the user 20 accelerates fast and thus uses more fuel in a stop then a typical driver, etc. Segment information data 72 includes the speed limit of streets, the direction of travel for streets, whether there is a stop sign or stop light at an intersection, bends in streets, length of streets, whether a vehicle 22 will need to slow down to turn, whether a vehicle will have to slow down due to a bend in the street, etc. The data 64, 66, 68, 70, 72 is locally stored, or in the alternative the data 64, 66, 68, 70, 72 can be remotely stored, hi some embodiments, the data 64, 66, 68, 70, 72 is partially stored locally and partially stored remotely.
[0022] The route 60 is a route from a start location 76 of a vehicle 22 to a destination location
78 for the vehicle 22 having one or more of a segment 80. The start location 76 and the destination location 78 are places on the surface of the Earth. The segment 80 is a street, road, turnpike, or other path for a vehicle with a speed limit, hi some embodiments, the speed limit for a segment 80 is estimated based on data in street and road data 58. The route 60 may contain turn information between two of the segments 80 and information regarding the intersection between two of the segments 80.
[0023] The suggested route 62 is a selected one of one or more of the routes 60 having an estimated minimum fuel usage 74. The estimated minimum fuel usage 74 is calculated by the route determiner 46. In some embodiments the estimated minimum fuel usage 74 is discarded and only the suggested route 62 is retained.
[0024] The route determiner 46 determines the suggested route 62 having an estimated minimum fuel usage 74 from a start location 76 of a vehicle 22 to a destination location 78 for the vehicle 22 based on estimated fuel efficiency for the vehicle 22 and further based on at least one estimated speed for the vehicle 22 for at least one segment 80 of the suggested route 62.
[0025] The route determiner 46 is arranged to determine the start location 76 for the vehicle 22 by receiving input from the user 24 of the navigation system 20 using the input device 44 or in the alternative the route determiner 46 can determine a start location 76 for the vehicle 22 by receiving the current location from the GPS system 40. The route determiner 46 is arranged to receive the destination location 78 for the vehicle 22 from the user 24 using the input device 44. [0026] In some embodiments, the route determiner 46 determines the route 60 by developing partial routes from both the start location 76 and the destination location 78, always keeping the lower fuel use partial routes as the partial routes are expanded. Eventually the partial routes that started from the destination location 78 and the partial routes that started from the start location 76 meet to form complete routes 60 and these complete routes 60 are used to choose the suggested route 62 having the estimated minimum fuel usage 74. The route determiner 46 uses the data in segment information data 72 for estimating the number of stops and the estimated speed, and the estimated number of times the vehicle 22 will slow down to turn, and the estimated number of times the vehicle 22 will slow down due to a bend in the segment 80. The route determiner 46 uses the data in aggregated efficiency data 64 for estimating the fuel efficiency of the vehicle 22 which is based on aggregated data for the vehicle 22. Table 4 is an example of the type of data that is in aggregated efficiency data 64 and which is used to estimate the amount of fuel the vehicle 22 will use for a route 60. Alternatively, the route determiner 46 uses data gathered from the operation of the vehicle 22 for estimating the fuel efficiency of the vehicle 22. After the suggested route 62 is determined, preferably, the route determiner 46 displays turn-by-turn instructions on display device 42, guiding the driver of the vehicle 22 to the destination location 78. In some embodiments, the route determiner 46 is arranged to continuously display on the display device 42 a recommended speed for the vehicle 22 to travel in order to attain the estimated minimum fuel usage 74 that was calculated for the suggested route 62. In some embodiments, the route determiner 46 is arranged to continuously recalculate a new suggested route 62 based on the current location of the vehicle 22.
[0027] hi some embodiments, the route determiner 46 is arranged to adjust calculations based on actual driver behavior data 70 in building the route 60. For example, the route determiner 46 uses the speed limit of a segment 80 plus 10 miles per hour for the estimated speed in calculating the estimated amount of fuel that will be used for a user 22 that typically speeds 10 miles per hour over the speed limit. In some embodiments, the route determiner 46 is arranged to output for consumption by the user 22 a list of driving styles, for example "like to speed", "don't usually speed", etc., and receive from the input device 44 a selected driving style from the user 24, and then determine the suggested route 62 based on this received driving style by basing calculations of estimated fuel usage using the received driving style of the user 24. In some embodiments, the route determiner 46 is arranged to build the route 60 based on the realtime route information 68 by adjusting the estimated fuel usage for segments 80 with traffic delays. In some embodiments, the route determiner 46 is arranged to adjust the estimated speed of segments based on the use of real time route information 68. In some embodiments, real time route information 68 includes historical route traffic information. In some embodiments, the route determiner 46 is arranged to reject one or more of the segment 80 or to add fuel usage to one or more of the segment 80 based on the user route preferences data 66. For example, if a user 24 chooses to avoid dangerous intersections, the route determiner 46 will then in some embodiments not include a segment 80 if that segment 80 includes a dangerous intersection, hi another example, the route determiner 46 only chooses a route 60 that does not include traveling on highways.
[0028] FIG. 3 depicts an example of three possible routes route A, route B, and route C from a start location to a destination location. Route A has 5 segments. Route B has 4 segments. Route C has 5 segments. The three routes are alternatives for the route determiner 46 to select from in determining a suggested route 62 having an estimated minimum fuel usage 74 from the start location to the destination location. Table 1 depicts information for route A. The information in Table 1 is stored in segment information data 72.
Table 1 : Route A Determination
Extra Segment Length Nodes Speed Time Fuel
(miles) m/hr
1 2 3 4 5
Figure imgf000010_0001
Totals: 20 0.5906 1-2417
[0029] Referring to Table 1 and to FIG. 3, route A has 5 segments forming a route from the start location to the destination location. A segment in this embodiment is a street or multiple streets that have the same speed limit and do not include a right or left turn. Segment 1 of route A is 8 miles long and has 2 extra nodes or cross streets (illustrated in FIG. 3) and has a speed limit of 35 miles per hour. An extra node is a cross street, where it is not known whether or not the vehicle 22 will have to stop at the cross street or not. The total length of the 5 segments in Route A is 20 miles. The route determiner 46 determines the "Time" column of Table 1. The "Time" column is an estimated time for the vehicle 22 to travel the segment. For example, referring to Table 1, the route determiner 46 estimates that it will take the vehicle 22 .2305 hours to travel segment 1. The "Fuel" column of Table 1 refers to an estimated amount of fuel for the vehicle 22 to travel segment 1 as calculated by the route determiner 46. For example, the route determiner 46 estimates that it will take the vehicle 22 .4280 fuel units to travel segment 1. Fuel units are used rather than a specific unit of measure such as gallons since in this case the estimates for fuel use are based on aggregated data for the vehicle that includes data for vehicles that have different weights. It turns out that the fuel efficiency curve 30 has the same shape for different vehicles manufactured in the same year, but due to the weight differences of the vehicles the absolute values of fuel use are different, therefore to compensate a relative measure of fuel use is used by the route determiner 46.
[0030] Table 2 and FIG. 3 is information regarding route B, having segment 1, segment 2, segment 3, and segment 4.
Table 2: Route B Determination
Figure imgf000011_0001
[0031] Table 3 and FIG. 3 is information regarding route C, having segment 1, segment 2, segment 3, segment 4, and segment 5.
Table 3: Route C Determination
Extra Segment Length Nodes Speed Time Fuel
(miles) m/hr
Figure imgf000011_0002
Totals: 27.25 0.5213 1.4581
[0032] The route determiner 46 will determine which of the three candidate routes A, B, and C from the start location 76 to the destination location 78, has the estimated minimum fuel usage 74 for a vehicle 22 . [0033] Table 4 illustrates expected miles per gallon for a typical vehicle 22 manufactured in
1973, 1984, and 1997. The data in Table 4 is stored in aggregated efficiency data 64.
Table 4
Expected mile/gallon for a typical vehicle manufactured in 1973, 1984, and 1997
Speed (Miles/hour) 1973 1984 1997
Figure imgf000012_0001
Figure imgf000012_0002
[0034] For example, for a 1997 vehicle 22 the estimated fuel efficiency is 30.5 miles/fuel unit
92 for a speed of 25 miles/hour; 31.2 miles/fuel unit 94 for a speed of 35 miles/hour; and, 29.2 miles/fuel unit 96 for a speed of 65 miles/hour. The estimated fuel efficiency is for a typical vehicle 22 manufactured in 1973, 1984, or 1997. This data is then being used to estimate the actual fuel efficiency curve 30 of the vehicle 22. For this example, we assume the vehicle 22 was manufactured in 1997.
[0035] The aggregated data in Table 4 is for a typical vehicle 22 manufactured in 1997, where relative measures of fuel efficiency were aggregated. The reason relative data was aggregated rather than absolute data is partially due to the differences in vehicle weight. When using this data for comparing routes A, B, and C, the relative estimated fuel consumed is compared by the route determiner 46. For example, for a 1997 vehicle 22 the estimated fuel efficiency for 15 miles/hour is 24.4 miles/gallon and the estimated fuel efficiency for 55 miles/hour is 32.4, so for any particular 1997 vehicle 22, the fuel efficiency can be compared between the two speeds with, (32.4 / 24.4) * 100, or a 1997 vehicle 22 is estimated to be 133 percent more efficient using fuel at 55 miles per hour than at 15 miles per hour.
[0036] FIG. 4 depicts a flow chart of an illustrative example of using the route determiner 46.
The route determiner 46 estimates a relative amount of fuel usage for the vehicle 22 for a route 60 having n segments 80, based on the estimated fuel efficiency for different speeds of the vehicle 22 from Table 4 and estimated speeds for the routes 60 using Table 1, Table 2, Table 3, and based on the number of nodes (cross streets where it is not known whether the vehicle will have to stop) in a route 60 using Table 1, Table 2, Table 3, the number of turns in a route 60, the number of toll booths in a route 60, and the number of estimated stops in a route 60, where the number of estimated stops is estimated based on the speed limits of the segment 80.
[0037] The numbers in the column "Fuel" of Tables 1, 2, and 3 represent the application of the embodiment of route determiner 46 depicted in FIG. 4.
[0038] Applying the embodiment of route determiner 46 depicted in FIG. 4, the flow starts with step 100, where a statement of the problem to be solved is given a vehicle 22 and a route or route 60 with n segments route determiner 46 determines the estimated fuel cost for each segment and sums the values for each segment, TF = Fj + ...+ F; + ... + Fn, to get the estimated fuel usage for the route or route 60.
[0039] For route A there are 5 segments depicted in FIG. 3, and as illustrated in Table 1. For this example the vehicle 22 was manufactured in 1997. The method continues in FIG. 4 with step 102 TF = 0. The total fuel estimate is set to zero. The method continues in step 104, for i =
1 to n. The route determiner 46 will do the following statements for each segment of the route
A where i will be the current segment. In step 106, look up fuel efficiency ("FE") which is based on vehicle 22 and speed of segment 1 of route A. Table 1 represents that the estimated speed, here the speed limit, for segment 1 of route A is 35 mile/hour. Table 4 represents that the estimated fuel efficiency for a 1997 vehicle 22 at a speed of 35 miles/hour is 31.2 miles/fuel unit. In step 108, estimated fuel used on segment 1 (Fi) is determined by Fi= (length of segment
1 ) / FE (calculated in step 206). Table 1 represents that the length of segment 1 of route A is 8 miles, so F]=8 miles/ 31.2 miles/fuel unit, so Fi = 0.256 as depicted in Table 1 for segment 1. In step 110 it is determined whether this is a restricted access segment?. Segment 1 of route A is not a restricted access segment (from Table 1). In step 112, it is determined whether there is a toll booth on this segment? Segment 1 of route A does not a toll booth (from Table 1). In step
116, it is determined whether segment l's speed class is greater than 25 mph? Segment 1 of route A speed class is 35 mph (from Table 1), so the answer is yes. The speed is being used here to estimate the number of stops in that it is not known if there is a stop sign or light at an intersection, but a heuristic is used based on the speed limit of the segment. The method continues in step 120, add fuel for 1/3 stop for each node (a node is a cross street as represented on FIG. 3) of segment 1, Fi = Fi + 1/3 FS. A node is an intersection, where the vehicle 22 may have to stop. An estimate is being used that 1/3 of the time the vehicle 22 will have to stop at an intersection for a speed of a segment greater than 25 mph, so Table 1 represents that segment 1 of route A has 2 nodes, here we use the value of .1 for fuel stop ("FS") as an estimate of the fuel the vehicle 22 would use to stop and start, so F, = 0.256 + 2/3 * .1 = .256 + 0.0666 = .323. The method continues in step 122, was a turn required to enter this segment? There was a turn required to enter segment 1 of route A. This information is represented in FIG. 3, and may be contained in segment information data 72 (FIG. 2.) The method continues in step 124, add fuel for 1 stop Fi= F1 + FS. So, F1 = .323 + FS, or Fi = .323 + .1 = .423. The method continues in step 126, end with final fuel usage for this segment in Fj, so TF = TF + F1. That is we add the fuel usage Fj estimate for this segment to the total estimate for route A. Here, Fi = .423 as just calculated and as represented in Table 1 for segment 1 of route A. The method continues in step 128, Next I? Since i=l currently and there are 5 segments in route A, the answer is yes. The method continues back to step 104 where i is incremented to 2 and then F2 is calculated in a similar manner as F1 was just calculated. The method continues through each remaining segment 2, 3, 4, 5 and then the estimated fuel for each segment is added to give 1.2417 as depicted in Table 1 for route A. This relative fuel usage estimate for route A can then be compared to the relative fuel usage estimate of route B , 1.3168 from Table 2 and to route C 1.4581 from Table 3. Route A, then has the least estimated fuel usage and so the route determiner 46 would assign route A as the suggested route 62 having the estimated minimum fuel usage 74.
[0040] Note that route B illustrated in Table 2 is the shortest in length at 16 miles, but uses more fuel than route A illustrated in Table 1. And note that Route C illustrated in Table 3 has the fastest estimated time at .5213 hours, compared to .5906 hours for Route A. [0041] FIG. 5 depicts an embodiment of a method that is performed by the system of FIG. 1 for determining a suggested route 62 having an estimated minimum fuel usage 74. The flow starts at Block 200. The flow continues with Block 202 determining at a computer device a start location 76 for a vehicle 22. This is accomplished by the GPS system 40 of FIG. 1, or in another embodiment received from a user 24. The flow proceeds to Block 204 receiving at a computer device a destination location 78. In an embodiment, the destination location 78 is received from an input device 44 by the user 24. In other embodiments, the destination location 78 is received across a communication link. The flow proceeds to Block 206 determining a suggested route 62 having an estimated minimum fuel usage 74 from the start location 76 to the destination location 78 for the vehicle 22 based on estimated fuel efficiency for the vehicle 22 and further based on at least one estimated speed for at least a portion of the route 60. The suggested route 62 is be determined locally by the navigation system 20 of the vehicle 22, or alternatively it is determined across a communication device 38. The estimated fuel efficiency of the vehicle 22 is based on the year the vehicle 22 was manufactured or the number of cylinders of the vehicle 22, or on the make and model of the vehicle 22, or another source of information such as historical fuel usage, measured fuel usage, etc.. The flow proceeds to Block 208 to outputting at a display device 42 the route for consumption by a user 24. The suggested route 62 is displayed on the display device 42 in street by street directions. Alternatively, the suggested route 62 could be communicated to the user 24 by use of a speaker.
[0042] It should now be apparent that a navigation system has been described that determines an estimated minimum fuel usage route 74 from a start location 76 to a destination location 78 for a vehicle 22 based at least on the estimated effect of speed of the vehicle on the efficiency of fuel consumption.
[0043] It will be readily seen by one of ordinary skill in the art that the present invention fulfills all of the objects set forth above. After reading the foregoing specification, one of ordinary skill will be able to affect various changes, substitutions of equivalents and various other aspects of the invention as broadly disclosed herein. It is therefore intended that the protection granted hereon be limited only by the definition contained in the appended claims and equivalents thereof.

Claims

CLAIMSWhat is claimed is:
1. A method of determining a route for a vehicle having a motive source, comprising the steps of:
inputting a start location;
receiving at a computer device a destination location;
determining at the computer device a suggested route having an estimated minimum fuel usage from the start location to the destination location for the vehicle based on estimated fuel efficiency for the vehicle for different speeds of the vehicle and further based on at least one estimated speed for at least a portion of the route; and
outputting at the computer device the route for consumption by a user.
2. The method of claim 1, further comprising inputting a start location by determining at the computer device the start location for the vehicle based on received signals from a GPS system.
3. The method of claim 1, further comprising inputting a start location at an input device by a user.
4. The method of claim 1, wherein the step of determining a suggested route further comprises determining based on the number of estimated stops in a route and further based on the estimated number of times the vehicle will slow down to turn, and further based on the estimated number of times the vehicle will slow down due to a bend in a portion of the route.
5. The method of claim 1, further comprising the step of receiving a user route preference at the computer device, and further comprising determining the suggested route based at least partially on the user route preference.
6. The method of claim 5, wherein the user route preference is at least one of: not including dangerous intersections in the route, not including highways in the route, not including toll roads, and not including street with less than a minimum speed limit.
7. The method of claim 1, wherein the estimated fuel efficiency for the vehicle is based on at least one of: the number of cylinders in the vehicle, the year the vehicle was manufactured, historical data for the vehicle, measured data for the vehicle, and the vehicle type classification.
8. The method of claim 1, wherein the step of determining a suggested route further comprises determining based on the number of turns in a route, the number of toll booths in a route, and the number of estimated stops in a route, wherein the number of estimated stops is determined based on the speed limits of the route, if the stop information for an intersection is not available in the database.
9. The method of claim 1, wherein the step of determining a suggested route further comprises determining based on the grade of the route.
10. The method of claim 1, further comprising the step of determining a suggested route based on the fuel type the vehicle is using, wherein the fuel type is selected from unleaded, premium, alcohol, or diesel.
11. The method of claim 1, further comprising the steps of: outputting at a computer device a list of driving styles for consumption by a user; receiving at a computer device a selected driving style from a user; and, determining a suggested route partially based on the received driving style.
12. The method of claim 1, further comprising the step of determining a suggested route at least partially based on actual driving behavior for a driver of the vehicle.
13. The method of claim 12, wherein the actual driving behavior of the driver of the vehicle is at least one of whether the driver speeds, whether the driver accelerates faster than an average acceleration, whether the driver drives slower than the speed limit a greater amount of time than an average amount of time of driving slower than the speed limit, and whether the driver applies the brakes more frequently than an average number of applications of the brakes.
14. The method of claim 1, further comprising the step of determining a suggested route at least partially based on real-time information, wherein the real-time information comprises at least one of current traffic conditions, and time of day variations of traffic regulations.
15. The method of claim 1, further comprising the step of continuously outputting at a computer device a recommended speed for the vehicle, wherein the recommended speed is based on the current speed limit, the estimated fuel efficiency of the vehicle, and an estimated fuel usage for the route from the start location to the destination location.
16. The method of claim 1 , further comprising the steps of: monitoring actual speed of the vehicle; determining a current location for the vehicle based on receiving signals from a GPS system; determining a new suggested route having a minimum fuel usage from the current location to the destination location for the vehicle, if the actual fuel usage is greater than the estimated fuel usage for the route from the start location to the destination location; outputting at a computer device the new suggested route for consumption by a user.
17. The method of claim 1 , further comprising the steps of: measuring actual fuel efficiency for the vehicle; determining a new suggested route from the current location to the destination location for the vehicle based on the measured fuel efficiency for the vehicle.
18. The method of claim 1, further comprising the steps of determining a suggested route at least partially based on estimating the fuel usage for a route by estimating the number of stops at intersections the vehicle will make based on at least one estimated speed for at least a portion of the route.
19. The method for determining a route for a vehicle, comprising the steps of: inputting a start location;
receiving at the computer device a destination location;
determining at the computer device a suggested route having an estimated minimum fuel usage from the start location to the destination location for the vehicle based on estimated fuel efficiency for the vehicle and further based on at least one estimated speed for at least a portion of the route, wherein the estimated fuel efficiency for the vehicle is based on at least one of the year the vehicle was manufactured, the make and model of the vehicle, the number of cylinders of the vehicle, historical data for the vehicle, measured data for the vehicle, and the type of fuel the vehicle uses, and wherein determining a suggested route further comprises determining based on the number of estimated stops in a route and on the estimated number of times the vehicle will slow down to turn; and
outputting at the computer device the route for consumption by an occupant of the vehicle.
20. The method of claim 19, further comprising inputting a start location by determining at the computer device the start location for the vehicle based on received signals from a GPS system.
21. The method of claim 19, further comprising inputting a start location at an input device by a user.
22. An apparatus for determining a suggested route for a vehicle, comprising:
an antenna for receiving signals from GPS satellites; a GPS system communicatively coupled to the antenna operable to determine current location for the vehicle based on received signals from GPS satellites; an input device communicatively coupled to the GPS system operable to receive a destination location from a user; a navigation system having a route determiner operable to determine a suggested route having an estimated minimum fuel usage from a start location to the destination location for the vehicle based on estimated fuel efficiency for the vehicle for different speeds of the vehicle and further based on at least one estimated speed for at least a portion of the route; and an output computer device operable to output the suggested route for consumption by the user.
23. Trie apparatus of claim 22, wherein the start location is the current location of the vehicle determined by the GPS system.
24. The apparatus of claim 22, wherein the start location is input by the user at the input device.
25. The method of claim 22, wherein the navigation system is further operable to determine a suggested route further based on the number of estimated stops in a route and further based on the estimated number of times the vehicle will slow down to turn and further based on the estimated number of times the vehicle will slow down due to a bend in a portion of the route.
26. The apparatus of claim 22, wherein the estimated fuel efficiency for the vehicle is based on data for at least one of the year the vehicle was manufactured, the type of fuel the vehicle uses, historical data for the vehicle, measured data for the vehicle, and the number of cylinders of the vehicle.
27. A memory or a computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform the method of
determining at a computer device a start location for a vehicle;
receiving at the computer device a destination location;
determining at the computer device a suggested route having an estimated minimum fuel usage from the start location to the destination location for the vehicle based on estimated fuel efficiency for the vehicle for different speeds and further based on at least one estimated speed for at least a portion of the route; and
outputting at the computer device the route for consumption by a user.
PCT/US2008/050759 2007-03-09 2008-01-10 Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle WO2008112335A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DE112008000625T DE112008000625T5 (en) 2007-03-09 2008-01-10 Method and apparatus for determining a route with an estimated minimum fuel consumption for a vehicle

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/684,301 2007-03-09
US11/684,301 US7783417B2 (en) 2007-03-09 2007-03-09 Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle

Publications (1)

Publication Number Publication Date
WO2008112335A1 true WO2008112335A1 (en) 2008-09-18

Family

ID=39742492

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2008/050759 WO2008112335A1 (en) 2007-03-09 2008-01-10 Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle

Country Status (3)

Country Link
US (1) US7783417B2 (en)
DE (1) DE112008000625T5 (en)
WO (1) WO2008112335A1 (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2354762A1 (en) 2010-02-05 2011-08-10 Harman Becker Automotive Systems GmbH System for a motor vehicle and method for determining accelerations
US8219317B2 (en) 2008-09-22 2012-07-10 Mitac International Corporation Route navigation via a proximity point
US8249804B2 (en) 2008-08-20 2012-08-21 Mitac International Corporation Systems and methods for smart city search
US8290703B2 (en) 2008-01-18 2012-10-16 Mitac International Corporation Method and apparatus for access point recording using a position device
EP2557398A1 (en) 2011-08-11 2013-02-13 Harman Becker Automotive Systems GmbH Method and system for navigation
US8498808B2 (en) 2008-01-18 2013-07-30 Mitac International Corp. Method and apparatus for hybrid routing using breadcrumb paths
US8554475B2 (en) 2007-10-01 2013-10-08 Mitac International Corporation Static and dynamic contours
US8700314B2 (en) 2008-01-18 2014-04-15 Mitac International Corporation Method and apparatus to search for local parking
KR20150060301A (en) * 2013-11-26 2015-06-03 현대모비스 주식회사 Warning Apparatus and Method for Safe-Driving Assistance Service Based on V2X
US9709969B2 (en) 2013-03-15 2017-07-18 Deere & Company Methods and apparatus to control machine configurations

Families Citing this family (65)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006033403A (en) * 2004-07-15 2006-02-02 Honda Motor Co Ltd Mobile body, information center, and mobile body communication system
US20060291396A1 (en) * 2005-06-27 2006-12-28 Monplaisir Hamilton Optimizing driving directions
US7859392B2 (en) 2006-05-22 2010-12-28 Iwi, Inc. System and method for monitoring and updating speed-by-street data
US9067565B2 (en) 2006-05-22 2015-06-30 Inthinc Technology Solutions, Inc. System and method for evaluating driver behavior
US7865298B2 (en) * 2007-05-03 2011-01-04 Ford Motor Company System and method for providing route information to a driver of a vehicle
DE112008000915T5 (en) * 2007-06-11 2010-04-22 Mitsubishi Electric Corp. navigation system
US9129460B2 (en) 2007-06-25 2015-09-08 Inthinc Technology Solutions, Inc. System and method for monitoring and improving driver behavior
US20110029168A1 (en) * 2007-07-06 2011-02-03 Howard Barry Talberg Route oriented paradigm for hybrid vehicles using route calculation and system utilizing same
US9117246B2 (en) 2007-07-17 2015-08-25 Inthinc Technology Solutions, Inc. System and method for providing a user interface for vehicle mentoring system users and insurers
US8818618B2 (en) * 2007-07-17 2014-08-26 Inthinc Technology Solutions, Inc. System and method for providing a user interface for vehicle monitoring system users and insurers
JP4462316B2 (en) * 2007-09-26 2010-05-12 株式会社デンソー Route search device
US20090222338A1 (en) * 2008-03-03 2009-09-03 Hamilton Ii Rick A Monitoring and Rewards Methodologies for "Green" Use of Vehicles
US8374781B2 (en) * 2008-07-09 2013-02-12 Chrysler Group Llc Method for vehicle route planning
CN102132130B (en) * 2008-08-25 2013-06-26 本田技研工业株式会社 Navigation server
US9043141B2 (en) * 2008-10-31 2015-05-26 Clarion Co., Ltd. Navigation system and navigation method of route planning using variations of mechanical energy
JP5027777B2 (en) * 2008-10-31 2012-09-19 クラリオン株式会社 Car navigation apparatus and car navigation method
WO2010074668A1 (en) * 2008-12-22 2010-07-01 Tele Atlas North America, Inc. Methods, devices and map databases for green routing
US8290695B2 (en) 2009-01-16 2012-10-16 Volker Hiestermann Method for computing an energy efficient route
US8963702B2 (en) 2009-02-13 2015-02-24 Inthinc Technology Solutions, Inc. System and method for viewing and correcting data in a street mapping database
US8155868B1 (en) * 2009-03-31 2012-04-10 Toyota Infotechnology Center Co., Ltd. Managing vehicle efficiency
US9008955B2 (en) * 2009-05-05 2015-04-14 GM Global Technology Operations LLC Route planning system for vehicles
DE102009023304A1 (en) * 2009-05-29 2010-12-02 Siemens Aktiengesellschaft Computerized monitoring of energy consumption of a means of transport
JP5306475B2 (en) * 2009-09-24 2013-10-02 三菱電機株式会社 Travel pattern generator
EP2504663A1 (en) * 2009-11-24 2012-10-03 Telogis, Inc. Vehicle route selection based on energy usage
US9046379B2 (en) * 2009-12-28 2015-06-02 Honda Motor Co., Ltd. Devices and methods for determining fuel consumption and searching vehicle routes
US8793067B2 (en) * 2009-12-28 2014-07-29 Honda Motor Co., Ltd. Route searching device
US8527132B2 (en) 2010-03-30 2013-09-03 Honda Motor Co., Ltd. Energy maps and method of making
US8423273B2 (en) * 2010-03-30 2013-04-16 Honda Motor Co., Ltd. Minimum energy route for a motor vehicle
DE102010003723A1 (en) * 2010-04-08 2011-10-13 Robert Bosch Gmbh Navigational method for determining consumption-optimized route of motor car, involves determining consumption value of motor car on portion based on another consumption value detected on another portion of road network
DE102010018334A1 (en) * 2010-04-27 2011-10-27 Gm Global Technology Operations Llc (N.D.Ges.D. Staates Delaware) Navigation device for a vehicle
JP5146486B2 (en) * 2010-05-11 2013-02-20 株式会社デンソー Route search device and navigation device
US20110320113A1 (en) * 2010-06-25 2011-12-29 Gm Global Technology Operations, Inc. Generating driving route traces in a navigation system using a probability model
WO2012009479A1 (en) * 2010-07-13 2012-01-19 Telenav, Inc. Navigation system with ecological route based destination guidance mechanism and method of operation thereof
DE102010027172B4 (en) * 2010-07-14 2013-09-26 Deutsches Zentrum für Luft- und Raumfahrt e.V. Method and device for determining a minimum energy route
JP5649892B2 (en) * 2010-09-22 2015-01-07 トヨタ自動車株式会社 Section setting method, fuel consumption information generating device, and driving support device
JP5549520B2 (en) * 2010-10-08 2014-07-16 アイシン・エィ・ダブリュ株式会社 Route related information providing apparatus, route related information providing method, route related information providing program, and route guidance system
US8755993B2 (en) * 2011-03-08 2014-06-17 Navteq B.V. Energy consumption profiling
US8706416B2 (en) * 2012-04-03 2014-04-22 Ford Global Technologies, Llc System and method for determining a vehicle route
JP6200421B2 (en) * 2012-07-17 2017-09-20 日産自動車株式会社 Driving support system and driving support method
US8892359B2 (en) * 2013-01-11 2014-11-18 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for estimating time of arrival for vehicle navigation
WO2014112659A1 (en) * 2013-01-16 2014-07-24 Lg Electronics Inc. Electronic device and control method for the electronic device
US9194309B2 (en) * 2013-02-21 2015-11-24 Cummins Intellectual Properties, Inc. System and method for route identification using a low cost GPS system
US9020664B2 (en) 2013-04-15 2015-04-28 Honeywell International Inc. Methods and systems for displaying procedure information on an aircraft display
JP6205919B2 (en) * 2013-07-10 2017-10-04 住友電気工業株式会社 Information estimation device for electric vehicles, route search system, and computer program
US9557179B2 (en) * 2013-08-20 2017-01-31 Qualcomm Incorporated Navigation using dynamic speed limits
US9172477B2 (en) 2013-10-30 2015-10-27 Inthinc Technology Solutions, Inc. Wireless device detection using multiple antennas separated by an RF shield
US20150158397A1 (en) * 2013-12-05 2015-06-11 Ford Global Technologies, Llc Method and Apparatus for Predicting Electric Vehicle Energy Consumption
US9488493B2 (en) 2014-01-16 2016-11-08 Ford Global Technologies, Llc Method and apparatus for electric vehicle trip and recharge planning
US10692370B2 (en) * 2014-03-03 2020-06-23 Inrix, Inc. Traffic obstruction detection
US20210009136A1 (en) * 2014-03-03 2021-01-14 Inrix, Inc. Presenting geographic search results using location projection and time windows
US9008858B1 (en) * 2014-03-31 2015-04-14 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for providing adaptive vehicle settings based on a known route
US10048082B2 (en) 2014-08-29 2018-08-14 Ford Global Technologies, Llc Route and model based energy estimation
US9759573B2 (en) 2014-08-29 2017-09-12 Ford Global Technologies, Llc Route based energy consumption estimation using physical models
US9476719B2 (en) 2014-08-29 2016-10-25 Ford Global Technologies, Llc Route-based distance to empty calculation for a vehicle
US9429436B2 (en) 2015-01-13 2016-08-30 Toyota Motor Engineering & Manufacturing North America, Inc. Estimated time of arrival for vehicle navigation
WO2017008295A1 (en) * 2015-07-16 2017-01-19 深圳市锐明技术股份有限公司 Subsection speed limiting method and system for vehicle
CN105354221A (en) * 2015-09-30 2016-02-24 百度在线网络技术(北京)有限公司 Path query method and apparatus
US9970780B2 (en) * 2015-11-19 2018-05-15 GM Global Technology Operations LLC Method and apparatus for fuel consumption prediction and cost estimation via crowd sensing in vehicle navigation system
US10317908B2 (en) 2017-08-11 2019-06-11 Toyota Motor Engineering & Manufacturing North America, Inc. Peak efficiency recommendation and sharing
US10885783B2 (en) * 2018-06-29 2021-01-05 Palo Alto Research Center Incorporated Generating collaboratively optimal transport plans
US11067403B2 (en) * 2018-07-05 2021-07-20 GM Global Technology Operations LLC Vehicle energy usage tracking
CN109191886A (en) * 2018-08-29 2019-01-11 汽解放汽车有限公司 A kind of fleet's paths planning method based on big data analysis platform
US10949886B2 (en) * 2019-03-12 2021-03-16 Xevo Inc. System and method for providing content to a user based on a predicted route identified from audio or images
JP2021018091A (en) * 2019-07-18 2021-02-15 株式会社エムティーアイ Program and information processor
DE102021111427A1 (en) 2021-05-04 2022-11-10 Bayerische Motoren Werke Aktiengesellschaft Method for operating a motor vehicle, control unit and motor vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5742922A (en) * 1996-02-12 1998-04-21 Hyundai Motor Company Vehicle navigation system and method for selecting a route according to fuel consumption
US6385535B2 (en) * 2000-04-07 2002-05-07 Alpine Electronics, Inc. Navigation system
KR20040063088A (en) * 2003-01-04 2004-07-12 박용성 An Automobile Fuel Consumption and Driving Fuel Economy Measurement Device
KR20060028237A (en) * 2004-09-24 2006-03-29 엘지전자 주식회사 Method for searching travel path considering user's preference
KR20060101929A (en) * 2005-03-22 2006-09-27 주식회사 현대오토넷 System for expecting fuel wastage of navigation system and method thereof

Family Cites Families (131)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5515283A (en) * 1994-06-20 1996-05-07 Zexel Corporation Method for identifying highway access ramps for route calculation in a vehicle navigation system
US5543789A (en) * 1994-06-24 1996-08-06 Shields Enterprises, Inc. Computerized navigation system
US6321158B1 (en) * 1994-06-24 2001-11-20 Delorme Publishing Company Integrated routing/mapping information
US5802492A (en) * 1994-06-24 1998-09-01 Delorme Publishing Company, Inc. Computer aided routing and positioning system
DE19521929A1 (en) * 1994-10-07 1996-04-11 Mannesmann Ag Facility for guiding people
US5844570A (en) * 1995-05-02 1998-12-01 Ames Research Laboratories Method and apparatus for generating digital map images of a uniform format
US6370475B1 (en) * 1997-10-22 2002-04-09 Intelligent Technologies International Inc. Accident avoidance system
GB9520478D0 (en) * 1995-10-06 1995-12-06 West Glamorgan County Council Monitoring system
JP2826086B2 (en) * 1995-12-28 1998-11-18 アルパイン株式会社 Navigation device
DE69632242T2 (en) * 1996-02-01 2005-04-14 Aisin AW Co., Ltd., Anjo Vehicle navigation system and method for entering and storing course change points
US6539301B1 (en) * 1996-08-02 2003-03-25 Magellan Dis, Inc. System and method for controlling a vehicle emergency response network
US6141621A (en) * 1996-08-02 2000-10-31 Magellan Dis, Inc. Method of providing a textual description of a remote vehicle location
KR100278972B1 (en) * 1996-08-21 2001-01-15 모리 하루오 Navigation device
US6609062B2 (en) * 1996-08-22 2003-08-19 Wgrs Licensing Company, Llc Nesting grid structure for a geographic referencing system and method of creating and using the same
US6356210B1 (en) * 1996-09-25 2002-03-12 Christ G. Ellis Portable safety mechanism with voice input and voice output
JP3893647B2 (en) * 1996-09-30 2007-03-14 マツダ株式会社 Navigation device
US5861920A (en) * 1996-11-08 1999-01-19 Hughes Electronics Corporation Hierarchical low latency video compression
US6084989A (en) * 1996-11-15 2000-07-04 Lockheed Martin Corporation System and method for automatically determining the position of landmarks in digitized images derived from a satellite-based imaging system
JP3876462B2 (en) * 1996-11-18 2007-01-31 ソニー株式会社 Map information providing apparatus and method
US6405130B1 (en) * 1996-12-11 2002-06-11 Magellan Dis, Inc. Navigation system using forward-looking origin selection for route re-calculation
US6308134B1 (en) * 1996-12-27 2001-10-23 Magellan Dis, Inc. Vehicle navigation system and method using multiple axes accelerometer
US20010018628A1 (en) * 1997-03-27 2001-08-30 Mentor Heavy Vehicle Systems, Lcc System for monitoring vehicle efficiency and vehicle and driver perfomance
DE69736954T2 (en) * 1997-06-20 2007-08-02 Mitsubishi Denki K.K. CARD INFORMATION DISPLAY DEVICE
US6133853A (en) * 1998-07-30 2000-10-17 American Calcar, Inc. Personal communication and positioning system
US6148261A (en) * 1997-06-20 2000-11-14 American Calcar, Inc. Personal communication system to send and receive voice data positioning information
KR19990011004A (en) 1997-07-21 1999-02-18 홍종만 Parking lot guidance system and method
JP3719315B2 (en) * 1997-08-08 2005-11-24 アイシン・エィ・ダブリュ株式会社 Vehicle navigation device and storage medium
GB2328744B (en) * 1997-08-28 2002-02-13 Denso Corp Route guidance apparatus
US6229546B1 (en) * 1997-09-09 2001-05-08 Geosoftware, Inc. Rapid terrain model generation with 3-D object features and user customization interface
US6201540B1 (en) * 1998-01-07 2001-03-13 Microsoft Corporation Graphical interface components for in-dash automotive accessories
US6249740B1 (en) * 1998-01-21 2001-06-19 Kabushikikaisha Equos Research Communications navigation system, and navigation base apparatus and vehicle navigation apparatus both used in the navigation system
US6037942A (en) * 1998-03-10 2000-03-14 Magellan Dis, Inc. Navigation system character input device
US6092076A (en) * 1998-03-24 2000-07-18 Navigation Technologies Corporation Method and system for map display in a navigation application
US6108603A (en) * 1998-04-07 2000-08-22 Magellan Dis, Inc. Navigation system using position network for map matching
US6172641B1 (en) * 1998-04-09 2001-01-09 Magellan Dis, Inc. Navigation system with audible route guidance instructions
US6189130B1 (en) * 1998-04-30 2001-02-13 International Business Machines Corporation System and method for determining density maps in hierarchical designs
US6184823B1 (en) * 1998-05-01 2001-02-06 Navigation Technologies Corp. Geographic database architecture for representation of named intersections and complex intersections and methods for formation thereof and use in a navigation application program
KR19990040849U (en) 1998-05-02 1999-12-06 신석균 Pyramid box
US6574551B1 (en) * 1998-05-05 2003-06-03 Magellan Dis, Inc. Autoscaling of recommended route
US6873907B1 (en) * 1998-05-05 2005-03-29 Magellan Dis, Inc. Navigation system with user interface
US6175801B1 (en) * 1998-06-19 2001-01-16 Magelan Dts, Inc. Navigation system map panning directional indicator
US6163269A (en) * 1998-05-05 2000-12-19 Magellan Dis, Inc. Navigation system with anti-alias map display
JP4209496B2 (en) * 1998-05-15 2009-01-14 アイシン・エィ・ダブリュ株式会社 Vehicle control device
CA2656134C (en) * 1998-05-15 2014-12-23 International Road Dynamics Inc. Method for detecting moving truck
US6362751B1 (en) * 1998-06-11 2002-03-26 Magellan Dis, Inc. Navigation system with a route exclusion list system
US6078864A (en) * 1998-07-17 2000-06-20 Magellan Dis, Inc. Navigation system with predetermined indication of next maneuver
JP2000101853A (en) * 1998-09-21 2000-04-07 Fuji Photo Film Co Ltd Image encryption method, image encryption device, recording medium recorded with procedure of image encryption, and recording medium recorded with image file for encrypted image
US6178380B1 (en) * 1998-10-22 2001-01-23 Magellan, Dis, Inc. Street identification for a map zoom of a navigation system
US6212474B1 (en) * 1998-11-19 2001-04-03 Navigation Technologies Corporation System and method for providing route guidance with a navigation application program
US6917982B1 (en) * 1998-12-19 2005-07-12 International Business Machines Corporation Method and system for controlling package-oriented network traffic
US6360167B1 (en) * 1999-01-29 2002-03-19 Magellan Dis, Inc. Vehicle navigation system with location-based multi-media annotation
US6565610B1 (en) * 1999-02-11 2003-05-20 Navigation Technologies Corporation Method and system for text placement when forming maps
US6816596B1 (en) * 2000-01-14 2004-11-09 Microsoft Corporation Encrypting a digital object based on a key ID selected therefor
US6252814B1 (en) * 1999-04-29 2001-06-26 International Business Machines Corp. Dummy wordline circuitry
DE10030455B4 (en) * 1999-06-21 2010-04-08 Nissan Motor Co., Ltd., Yokohama-shi Apparatus for generating road information from a stored digital map database
JP3896728B2 (en) * 1999-06-23 2007-03-22 トヨタ自動車株式会社 Portable terminal device and in-vehicle information processing device
US6205397B1 (en) * 1999-08-03 2001-03-20 At&T Corp Route engineering technique
US6349257B1 (en) * 1999-09-15 2002-02-19 International Business Machines Corporation System for personalized mobile navigation information
US6484089B1 (en) * 1999-10-15 2002-11-19 Magellan Dis, Inc. Navigation system with road condition sampling
US6363322B1 (en) * 1999-12-22 2002-03-26 Magellan Dis, Inc. Navigation system with unique audio tones for maneuver notification
JP4323045B2 (en) 2000-01-14 2009-09-02 株式会社日立製作所 Navigation device
US6430501B1 (en) * 2000-01-19 2002-08-06 Magellan Dis, Inc. Navigation system with route indicators
US6397145B1 (en) * 2000-03-06 2002-05-28 Magellan Dis, Inc. Navigation system with complex maneuver instruction
US6587782B1 (en) * 2000-03-14 2003-07-01 Navigation Technologies Corp. Method and system for providing reminders about points of interests while traveling
US6278942B1 (en) * 2000-03-21 2001-08-21 Navigation Technologies Corp. Method and system for providing routing guidance
US7170518B1 (en) 2000-03-27 2007-01-30 Magellan Dis, Inc. Selective rendering of cartographic entities for a navigation system
US6529822B1 (en) * 2000-04-11 2003-03-04 Magellan Dis, Inc. Navigation system with zoomed maneuver instruction
US6253151B1 (en) * 2000-06-23 2001-06-26 Navigation Technologies Corp. Navigation system with feature for reporting errors
DE10031787A1 (en) * 2000-07-04 2002-01-24 Daimler Chrysler Ag Assistance system for the selection of routes
JP2002048574A (en) 2000-07-31 2002-02-15 Fujitsu Ten Ltd Map information distribution method and map information distribution system
US6774932B1 (en) * 2000-09-26 2004-08-10 Ewing Golf Associates, Llc System for enhancing the televised broadcast of a golf game
US6385542B1 (en) * 2000-10-18 2002-05-07 Magellan Dis, Inc. Multiple configurations for a vehicle navigation system
US6408243B1 (en) * 2000-10-26 2002-06-18 Honda Giken Kogyo Kabushiki Kaisha Service delivery system
US7010308B2 (en) * 2000-12-13 2006-03-07 Telcontar Managing and querying moving point data
US6487494B2 (en) * 2001-03-29 2002-11-26 Wingcast, Llc System and method for reducing the amount of repetitive data sent by a server to a client for vehicle navigation
US6842695B1 (en) * 2001-04-17 2005-01-11 Fusionone, Inc. Mapping and addressing system for a secure remote access system
KR20020084716A (en) 2001-05-02 2002-11-11 엘지이노텍 주식회사 Method and system serving for navigation and parking information via network
US7333820B2 (en) 2001-07-17 2008-02-19 Networks In Motion, Inc. System and method for providing routing, mapping, and relative position information to users of a communication network
JP2003044992A (en) * 2001-07-31 2003-02-14 Pioneer Electronic Corp Updating method for map data in communication navigation system, and server device, recording medium and communication navigation terminal device
US7082365B2 (en) 2001-08-16 2006-07-25 Networks In Motion, Inc. Point of interest spatial rating search method and system
JP3841401B2 (en) * 2001-09-26 2006-11-01 株式会社東芝 Campus guidance device, server device, and program
US6885874B2 (en) * 2001-11-27 2005-04-26 Motorola, Inc. Group location and route sharing system for communication units in a trunked communication system
JP3908056B2 (en) * 2002-02-26 2007-04-25 アルパイン株式会社 Car navigation system
US6748323B2 (en) * 2002-07-31 2004-06-08 Thales North America, Inc. Displaying data
US6728608B2 (en) * 2002-08-23 2004-04-27 Applied Perception, Inc. System and method for the creation of a terrain density model
EP1555511A4 (en) 2002-10-22 2011-12-21 Hitachi Ltd Map data delivering method for communication-type navigation system
JP2004144531A (en) * 2002-10-23 2004-05-20 Hitachi Ltd Information providing system and information providing device for moving object
US6782319B1 (en) * 2002-11-26 2004-08-24 Navteq North America, Llc Method for organizing map data
US6631322B1 (en) * 2002-12-06 2003-10-07 General Electric Co. Method and apparatus for vehicle management
JP2004205261A (en) * 2002-12-24 2004-07-22 Denso Corp Navigation system
US7421334B2 (en) 2003-04-07 2008-09-02 Zoom Information Systems Centralized facility and intelligent on-board vehicle platform for collecting, analyzing and distributing information relating to transportation infrastructure and conditions
US20040243307A1 (en) 2003-06-02 2004-12-02 Pieter Geelen Personal GPS navigation device
KR100471303B1 (en) 2003-06-11 2005-02-21 현대자동차주식회사 Parking guide service apparatus of vehicle and method thereof
US7233860B2 (en) 2003-07-16 2007-06-19 Magellan Navigation, Inc. Intelligent modular navigation information capability
DE10333962A1 (en) * 2003-07-25 2005-02-10 Robert Bosch Gmbh Method for operating a vehicle
US7031836B2 (en) * 2003-10-28 2006-04-18 Thales Navigation, Inc. Grid mapping utility for a GPS device
US7487040B2 (en) * 2003-11-14 2009-02-03 Bernard Catalinotto System and method for establishing a local page and grid numbering system in a geographic referencing system
EP1695295B1 (en) 2003-12-19 2008-07-02 Bayerische Motoren Werke Aktiengesellschaft Verification of the validity range of traffic status information
DE50310628D1 (en) 2003-12-19 2008-11-20 Bayerische Motoren Werke Ag EXPERIENCED
JP2005300234A (en) 2004-04-07 2005-10-27 Denso Corp Navigation system equipped with licensing function
US20070088494A1 (en) 2004-06-29 2007-04-19 Rothman Michael A System and method for enabling wireless traffic message passing
US20060080031A1 (en) * 2004-09-07 2006-04-13 Cooper Clive W System and method of wireless downloads of map and geographic based data to portable computing devices
CA2583458C (en) 2004-10-01 2016-02-23 Networks In Motion, Inc. Method and system for enabling an off board navigation solution
US7480566B2 (en) * 2004-10-22 2009-01-20 Alpine Electronics, Inc. Method and apparatus for navigation system for searching easily accessible POI along route
KR100696801B1 (en) 2005-03-04 2007-03-19 엘지전자 주식회사 Navigation system and interesting location seaching method thereof
JP4498176B2 (en) 2005-03-14 2010-07-07 アルパイン株式会社 Navigation device and moving body position correcting method
JP4135110B2 (en) 2005-03-15 2008-08-20 ソニー株式会社 Point search device and search method
CN101699546B (en) 2005-04-08 2012-05-09 松下电器产业株式会社 Map information updating device and map information updating method
US7885758B2 (en) 2005-06-30 2011-02-08 Marvell World Trade Ltd. GPS-based traffic monitoring system
US20070050128A1 (en) 2005-08-31 2007-03-01 Garmin Ltd., A Cayman Islands Corporation Method and system for off-board navigation with a portable device
US7698061B2 (en) 2005-09-23 2010-04-13 Scenera Technologies, Llc System and method for selecting and presenting a route to a user
US20080270016A1 (en) * 2005-11-21 2008-10-30 Ford Motor Company Navigation System for a Vehicle
US20070130153A1 (en) 2005-12-02 2007-06-07 Palm, Inc. Techniques to communicate and process location information from communications networks on a mobile computing device
JP2007155582A (en) 2005-12-07 2007-06-21 Casio Hitachi Mobile Communications Co Ltd Navigation system, navigation method, and program
JP4643436B2 (en) 2005-12-27 2011-03-02 アルパイン株式会社 Own vehicle position determination device
US7590490B2 (en) 2006-01-09 2009-09-15 Mitac International Corporation Smart detour
KR101202068B1 (en) 2006-02-08 2012-11-15 에스케이플래닛 주식회사 Map Data Upgrade Method for Telematics Service of Mobile Communication Terminal, Server and System Using the Same
US7450003B2 (en) 2006-02-24 2008-11-11 Yahoo! Inc. User-defined private maps
JP5183029B2 (en) 2006-03-10 2013-04-17 日立オートモティブシステムズ株式会社 Map update program and map update terminal
JP4929870B2 (en) 2006-06-23 2012-05-09 日産自動車株式会社 Navigation device
US7512487B1 (en) * 2006-11-02 2009-03-31 Google Inc. Adaptive and personalized navigation system
US7778769B2 (en) * 2006-11-27 2010-08-17 International Business Machines Corporation Method and system for calculating least-cost routes based on historical fuel efficiency, street mapping and location based services
US20080133120A1 (en) * 2006-11-30 2008-06-05 Romanick Ian D Method for determining and outputting travel instructions for most fuel-efficient route
US20080134088A1 (en) 2006-12-05 2008-06-05 Palm, Inc. Device for saving results of location based searches
US20090138190A1 (en) 2007-11-26 2009-05-28 Magellan Navigation, Inc. System and Method of Providing Traffic Data to a Mobile Device
US20090171584A1 (en) 2007-12-31 2009-07-02 Magellan Navigation, Inc. System and Method for Accessing a Navigation System
US20090182498A1 (en) 2008-01-11 2009-07-16 Magellan Navigation, Inc. Systems and Methods to Provide Navigational Assistance Using an Online Social Network
US9354068B2 (en) 2008-01-14 2016-05-31 Blackberry Limited System and method for dynamically downloading and displaying map data
US8700314B2 (en) 2008-01-18 2014-04-15 Mitac International Corporation Method and apparatus to search for local parking
US8498808B2 (en) 2008-01-18 2013-07-30 Mitac International Corp. Method and apparatus for hybrid routing using breadcrumb paths
US8290703B2 (en) 2008-01-18 2012-10-16 Mitac International Corporation Method and apparatus for access point recording using a position device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5742922A (en) * 1996-02-12 1998-04-21 Hyundai Motor Company Vehicle navigation system and method for selecting a route according to fuel consumption
US6385535B2 (en) * 2000-04-07 2002-05-07 Alpine Electronics, Inc. Navigation system
KR20040063088A (en) * 2003-01-04 2004-07-12 박용성 An Automobile Fuel Consumption and Driving Fuel Economy Measurement Device
KR20060028237A (en) * 2004-09-24 2006-03-29 엘지전자 주식회사 Method for searching travel path considering user's preference
KR20060101929A (en) * 2005-03-22 2006-09-27 주식회사 현대오토넷 System for expecting fuel wastage of navigation system and method thereof

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8554475B2 (en) 2007-10-01 2013-10-08 Mitac International Corporation Static and dynamic contours
US8498808B2 (en) 2008-01-18 2013-07-30 Mitac International Corp. Method and apparatus for hybrid routing using breadcrumb paths
US8290703B2 (en) 2008-01-18 2012-10-16 Mitac International Corporation Method and apparatus for access point recording using a position device
US8700314B2 (en) 2008-01-18 2014-04-15 Mitac International Corporation Method and apparatus to search for local parking
US8249804B2 (en) 2008-08-20 2012-08-21 Mitac International Corporation Systems and methods for smart city search
US8219317B2 (en) 2008-09-22 2012-07-10 Mitac International Corporation Route navigation via a proximity point
US8645052B2 (en) 2010-02-05 2014-02-04 Harman Becker Automotive Systems Gmbh Motor vehicle acceleration determining system
EP2354762A1 (en) 2010-02-05 2011-08-10 Harman Becker Automotive Systems GmbH System for a motor vehicle and method for determining accelerations
EP2557395A1 (en) 2011-08-11 2013-02-13 Harman Becker Automotive Systems GmbH Method and system for navigation
EP2557398A1 (en) 2011-08-11 2013-02-13 Harman Becker Automotive Systems GmbH Method and system for navigation
US9709969B2 (en) 2013-03-15 2017-07-18 Deere & Company Methods and apparatus to control machine configurations
US10539935B2 (en) 2013-03-15 2020-01-21 Deere & Company Methods and apparatus to control machine configurations
US11422519B2 (en) 2013-03-15 2022-08-23 Deere & Company Methods and apparatus to control machine configurations
KR20150060301A (en) * 2013-11-26 2015-06-03 현대모비스 주식회사 Warning Apparatus and Method for Safe-Driving Assistance Service Based on V2X
KR102113769B1 (en) * 2013-11-26 2020-05-21 현대모비스 주식회사 Warning Apparatus and Method for Safe-Driving Assistance Service Based on V2X

Also Published As

Publication number Publication date
US20080221787A1 (en) 2008-09-11
US7783417B2 (en) 2010-08-24
DE112008000625T5 (en) 2010-04-15

Similar Documents

Publication Publication Date Title
US7783417B2 (en) Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle
US8712676B2 (en) Method for computing an energy efficient route
US10215576B2 (en) Energy-optimized vehicle route selection
US6591185B1 (en) Method for determination of fuel usage for a vehicle in a vehicle navigation system
EP2428770B1 (en) Vehicle navigation system
US8755993B2 (en) Energy consumption profiling
US9046379B2 (en) Devices and methods for determining fuel consumption and searching vehicle routes
JP4486866B2 (en) Navigation device and method for providing cost information
JP3833931B2 (en) Fuel consumption display method and fuel consumption display device
JP4840077B2 (en) Cost calculation device, navigation device, program
WO2010052866A1 (en) Map display device
EP3745087A1 (en) Method, apparatus, and computer program product for determining lane level vehicle speed profiles
WO2017216245A2 (en) Vehicle usage-based pricing alerts
EP3561453B1 (en) Method, apparatus and computer program product for determining likelihood of a route
CN102944887A (en) Vehicle three-dimension navigation method based on fuel consumption and tail gas exhaust
US6704648B1 (en) Bearing data for route guidance
JP2006275869A (en) Navigation system, navigation method and navigation program
KR101308264B1 (en) Navigation apparatus and method that consider energy attrition rate fuel efficiency
US20220034667A1 (en) Method, apparatus, and computer program product for estimating a time-of-arrival at a destination
JP2010127690A (en) Car navigation device
JP2008032439A (en) Route search device
KR20110061374A (en) Method for navigating fuel efficient route for reducing fuel consumption
WO2008059590A1 (en) Search device, search method, search program, and computer readable recording medium
JP2010175372A (en) Information display apparatus
US11624629B2 (en) Method, apparatus, and computer program product for generating parking lot geometry

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 08705851

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 1120080006253

Country of ref document: DE

RET De translation (de og part 6b)

Ref document number: 112008000625

Country of ref document: DE

Date of ref document: 20100415

Kind code of ref document: P

122 Ep: pct application non-entry in european phase

Ref document number: 08705851

Country of ref document: EP

Kind code of ref document: A1