US20020055818A1 - Method to schedule a vehicle in real-time to transport freight and passengers - Google Patents
Method to schedule a vehicle in real-time to transport freight and passengers Download PDFInfo
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- US20020055818A1 US20020055818A1 US10/029,503 US2950301A US2002055818A1 US 20020055818 A1 US20020055818 A1 US 20020055818A1 US 2950301 A US2950301 A US 2950301A US 2002055818 A1 US2002055818 A1 US 2002055818A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
- G06Q10/025—Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
Abstract
Description
- This application claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Application Ser. No. 60/217,247 filed on Jul. 10, 2000 entitled METHOD TO SCHEDULE A VEHICLE IN REAL-TIME TO TRANSPORT FREIGHT AND PASSENGERS.
- 1. Field of the Invention
- This application relates to scheduling methods. More specifically, the present invention relates to scheduling, in real time, freight and passenger transportation.
- 2. Statement of the Problem
- Many routes serviced by passenger coaches to outlying areas (e.g., farming and mountain communities) have become unprofitable as the cost of servicing the route exceeded passenger demand. As such, these routes were dropped, reducing the mobility of people living in these areas who are unable to afford private transportation (e.g., some elderly, disabled, and economically disadvantaged residents). Therefore, a need exists to schedule new routes using a vehicle that can simultaneously transport both passengers and freight, thereby ensuring the profitability of the route with fees charged for transportation of freight while servicing the transportation needs of passengers in these outlying areas.
- In addition, the need to have freight delivered, especially in outlying areas, can change dramatically over short periods of time and can therefore be difficult to schedule in advance. For instance, a sudden change in the weather in a mountain community can cause a local grocery store to run short on supplies and thus require a shipment that was not needed nor predicted just a day earlier. Or a hardware store near a farming community may do heavy business one week and hardly any business the following two weeks. As such shipments are only required on an “as needed” basis. Therefore, another need exists to maintain the flexibility of the transportation schedule for both passenger and freight transportation to accommodate the needs of the various communities.
- Finally, the transportation demands can change even after the vehicle is in route. For example, where the vehicle was scheduled to travel through Town A for a single delivery, and that delivery has been cancelled, there may no longer be sufficient reason for the vehicle to travel through Town A. Therefore, yet another need exists to update the transportation schedule in real-time based on changes to the transportation needs of the serviced communities.
- The prior art does not address scheduling both freight and passenger transportation to meet the needs described above. Prior art passenger scheduling (i.e., airlines, trains, coaches, etc.) generally uses fixed schedules. That is, the destinations and corresponding arrival/departure times are fixed whether there is a demand for service at a given location and time or not. Passenger schedules can be “bumped” in certain situations. For instance, an airline may reschedule or reroute flights due to weather conditions at one of the airports. However, these schedules are not created in real-time based on the transportation needs of the serviced communities. Instead, these schedules are “bumped” based on external factors (i.e., the weather, engine problems, etc.). These schedules are still fixed.
- Likewise, prior art freight scheduling typically does not provide fixed schedules due to the ever-changing nature of freight transportation. Instead, prior art freight scheduling generally provides a rate and a cutoff time for requests where the freight must be delivered by a deadline (e.g., a request to deliver freight to a destination by 5 p.m. on Tuesday must be received by 12 noon on the prior Monday). Other prior art freight scheduling includes load matching services for equipment owners. For example, where a truck has delivered freight from City A where the truck is based, to City B, a load matching service finds a freight that needs to be delivered from City B to City A or somewhere near City A so that the truck does not make the return trip without a load.
- A number of prior art approaches exist which address a portion of the above needs. U.S. Pat. No. 5,444,444 uses a central controller and a GPS system to ascertain the location of delivery vehicles. The controller compares the actual location of the delivery vehicle to the delivery location, estimates the time of arrival to the delivery location, and notifies the recipient at the delivery location of the pending delivery time.
- U.S. Pat. No. 4,092,718 sets forth a computerized dispatching system that allows a central computer to plot travel paths for a fleet of buses based upon passenger purchase of tickets. This enables the computer to schedule passengers to embark or disembark from the bus and to skip any other stops. The central computer activates indicators at each bus station to show the arrival time of the next vehicle or whether that stop will be skipped. In one example, a passenger aboard a bus can access the central computer and change a disembarkation stop to another stop. Upon receiving requests such as this, the central computer provides routing instructions and new display information at each station.
- U.S. Pat. No. 5,987,377 pertains to a method and apparatus for determining the expected time of arrival of delivery truck. The delivery truck has a mobile unit which determines its vehicle position and expected time of arrival. The expected time of arrival is updated continuously throughout the trip. In the event a delivery is late, a central dispatch can inform the party awaiting the delivery of the lateness and what the new delivery time is.
- U.S. Pat. No. 6,006,159 sets forth a public transit vehicle arrival information system. The transit vehicles have GPS devices which communicate with a central computer. A passenger can use a portable access means such as a pager, notebook, a palm computer to ascertain the estimated arrival time. This approach is also capable of determining the number of occupied and unoccupied seats in a vehicle. The system operates in real time and continually updates predicted arrival time and passenger loads. A passenger may carry a portable display module to receive current information as to arrival time or can receive the information over a personal computer, a home, a laptop, etc.
- None of the above references teach the real time scheduling of both passengers and freight from a single vehicle. Hence, -a need exists that provides a scheduling method that utilizes a vehicle that is capable of hauling both freight and transporting passengers that provides a real time scheduling process for both passengers and freight. An example of such a vehicle is found in co-pending patent application Ser. No. 09/634,326, filed Aug. 7, 2000, entitled PASSENGER AND FREIGHT CARRYING VEHICLE owned by the common assignee of the present invention.
- The present invention is a method to schedule a vehicle in real-time to simultaneously transport freight and passengers. By scheduling the vehicle to transport both passengers and freight, the profitability of existing routes increases and new routes can be added (i.e., the transportation of freight provides a guaranteed source of income regardless of the number of passengers, if any). In addition, under one embodiment of the present invention, a passenger route is reactively scheduled as a result of freight becoming available on the same route. Under another embodiment, passengers or groups of passengers can also submit transportation requests. Thus, schedules can be created on an “as needed” basis. For example, a vehicle can be scheduled to travel among Towns A, B, and C one day, and Towns A and D the next, based on the transportation needs of the various communities. The schedule is not fixed and therefore the method of the present invention accommodates the needs of the various communities. Finally, requests from shippers and passengers are received using the method of the present invention, and the schedule is continually updated in real-time to reflect any changes due to these requests, fluctuating delivery times (e.g., to allow for time requirements to load larger freight), and actual vehicle travel times. Thus, the scheduling method of the present invention allows for new unserved or underserved passenger and freight routes to be added on a real-time basis as either becomes available on the route and the schedule is constantly updated as passenger and freight requirements dictate.
- The present invention is a method of scheduling a vehicle in real-time to transport both freight and passengers simultaneously. A host receives transportation requests from a freight terminal and/or a passenger terminal connected to the host over a network (e.g., the Internet). The transportation requests can be requests to pick up and deliver freight, to transport passengers, to reschedule a previously scheduled or cancelled request, to cancel a previously scheduled request, etc. The host then creates a route or routes having destinations based on the received transportation requests. The host predicts arrival and departure times for each destination along the route and generates a route schedule including at least the predicted arrival and departure times for each destination along the route. The generated route schedule is then transmitted to the vehicle and the vehicle embarks on the route. As the vehicle arrives and departs from each destination, the vehicle transmits actual arrival and departure times back to the host. The host uses the actual arrival and departure times to adjust the predicted arrival and departure times of the remaining destinations. The host updates the route schedule with the received actual arrival and departure times and the adjusted predicted times.
- The host can also update the route schedule to include new destinations that are added after the vehicle begins traveling the route and to remove destinations when previously scheduled destinations are cancelled. In another embodiment, the host receives vehicle positioning data from a global positioning system over the network and uses the vehicle positioning data to adjust the predicted arrival and departure times. In each embodiment, the generated and updated route schedules are posted at said host (e.g., on a web page at an Internet site) so that the route schedule is accessible from any remote terminal (e.g., the passenger terminal, the freight terminal, the vehicle itself, etc.) over the network. As such, both the passenger and freight shipper can access updated vehicle schedules and plan their transportation needs accordingly.
- These and other advantages, features, and objects of the present invention will be more readily understood in view of the following detailed description and the drawings.
- FIG. 1 is a block diagram of a communications system over which a method of the present invention is implemented.
- FIG. 2 is a flow chart setting forth the steps of a preferred method of the present invention.
- FIG. 3a is an example of a schedule generated using the method of the present invention.
- FIG. 3b shows the example schedule of FIG. 3a updated to show an actual arrival and departure time using the method of the present invention.
- FIG. 3c shows the example schedule of FIG. 3b updated to show a cancelled destination using the method of the present invention.
- FIG. 3d shows the example schedule of FIG. 3c updated to show an added destination using the method of the present invention.
- FIG. 3e shows the example schedule of FIG. 3c updated to show predicted arrival and departure times based on a global positioning system and using the method of the present invention.
- FIG. 4 is a flow chart setting forth the process step for creating a route.
- FIG. 5 is a flow chart setting the profitability determination process steps.
- FIGS.6(a) and 6(b) are passenger and freight vehicles from U.S. patent application Ser. No. 09/634,326.
- The method of the present invention is implemented over a
communications system 100 such as that shown in FIG. 1. Users access a network 110 from terminals 120 (e.g., P1, P2 3... Pi indicating passenger terminals and F1, F2, . . . Fi indicating freight terminals). It is to be understood that while theterminals 120 are designated as passenger terminals P and freight terminals F, the terminals are preferably otherwise indistinguishable and the same terminal can be used by either a passenger or a freight shipper.Terminals 120 are interconnected (e.g.,line 122 or through an Internet Service Provider 130) over the network 110 to ahost 140. Asimilar terminal 120 can also be used on-board thevehicle 150. Thehost 140 is connected to the network 110 through a direct connection (or through an ISP, not shown) overline 142. - The
host 140 is used to schedule avehicle 150 to transport passengers and freight. Thevehicle 150 is equipped to transport both passengers and freight (such as that disclosed in co-owned U.S. patent application Ser. No. 09/634,326, filed on Aug. 7, 2000) and is preferably scheduled, using the method of the present invention, to provide passenger service to remote areas (e.g., outlying farming or mountain communities) where such service was previously unprofitable or unavailable. - The vehicle in the aforesaid patent application is shown in FIGS.6(a) and 6(b). The
vehicle 600 a haspassenger area 620 a and afreight area 630 a. Thevehicle 600 a is shown carrying two, tenfoot longintermodal containers freight area 630 a. Thevehicle 600 a can be operated as a conventional freight carrier in the trucking industry. That is, thedoors 610 ofcontainer 650 a are opened, and somefreight 640 is removed from thecontainer 650 a (e.g., using forklift 625), then thedoors 610 are closed and the vehicle continues to the next stop with thesame container 650 a. Indeed, thefreight area 630 a can be an enclosure that is constructed as an integral part of thevehicle 600 a and need not be removable at all. Alternatively,entire containers 650 a,b can be delivered, removed, and thevehicle 600 a reloaded withother containers 650 a,b. As such, thevehicle 600 a can participate in any number of freight markets. For example, thevehicle 600 a can be used to deliver individual shipments to loading docks (e.g., under a post office or package delivery contract, or automobiles to dealerships), deliver individual shipments to multiple destinations (e.g., a shipment of clothes to a retail outlet and a shipment of electronics to another retail outlet or warehouse), or deliver entire containers (e.g., to freight staging areas, warehouses, shipyards, trains), etc. Alternatively, thevehicle 600 a can operate in a combination mode where somefreight 640 is unloaded at several stops and theentire container 650 a is unloaded from thevehicle 600 a and afull container 650 a is loaded onto thevehicle 600 a at the final stop. The above examples are merely illustrative of the various and different types of freight thevehicle 600 a can carry. - It is understood that the
vehicle 600 a is not to be limited by the type of freight loaded ontofreight area 630 a. Indeed, in another embodiment shown in FIG. 6(b), the freight loaded on aflatbed area 630 a (i.e., having sufficient support structure or heavy decking as described above) need not be containerized at all (e.g.,automobile 650, construction equipment, lumber, conduit, etc.) and can be attached to thefreight area 630 a using any suitable conventional attachments (e.g., straps 660, chains, gates, etc.). - Although operating a vehicle for passenger service only in these remote areas would not be profitable and indeed may not even cover the operation costs, the operator of
vehicle 150 is able to cover the operation costs and realize a profit by also transporting freight to these remote areas. The operator is thus able to simultaneously offer passenger service to these remote areas using thesame vehicle 150 as used for freight transportation. - It is to be understood that the
vehicle 150 can be any vehicle and is not limited to that disclosed by the above-referenced co-owned patent application. For example, the method of the present invention can be used to schedule airplanes, ships, boats, ferries, trains, conventional passenger coaches, etc. In addition, the method of the present invention can be used to schedule thevehicle 150 for operation in any area and is not limited to outlying areas. For example, thevehicle 150 can be scheduled using the method of the present invention to travel in an urban intra-city environment, for intercity travel, etc. - In a preferred embodiment, the
communications system 100 is a conventional Intranet or the Internet and theterminals 120 and thehost 140 are personal computers (e.g., conventionally available PENTIUM-based computers) or other Internet appliances (e.g., digital handheld telephones with Internet access) with access to the network 110 (e.g., via modem, network card, direct cable access, etc.). Users access a website stored at the host (e.g., in memory 145) from theterminals 120. Such access over the Internet is conventional and typically involves the use of a domain name (e.g., www.<domain name>.com). Thehost 140 receives information input at the terminal 120 and displays the requested website at the terminal 120. Thehost 140 can also be used to perform routine functions, update the website, permit administrator or operator input, etc. It is understood that the use of websites and the Internet is conventional and other arrangements are possible (e.g., where the website is stored at an ISP). - It is to be expressly understood that any
suitable communications system 100 can be used under the teachings of the present invention. Furthermore, the network 110 can be land-based, satellite-based, direct cable (e.g., DSL, LAN), etc., or any combination thereof. Likewise, any type of terminal 120 (e.g., cellular phones, digital phones, facsimile machines, etc.) and any number of terminals 120 (e.g., P1, P2, . . . Pi; F1, F2 . . . Fi) can be connected over the network 110. Likewise, the individual location of theterminals 120 and thehost 140 is immaterial to the teachings of the present invention. Indeed, theterminals 120 and thehost 140 can be comprised of multiple components such as conventionally networked computers. - In the preferred embodiment, it is to be understood that each terminal120 and the
host computer 150 can have individual internal memory (e.g., 160). Likewise,memory 145 can be random access memory (RAM), read only memory (ROM), any suitable form of storage disk (e.g., magnetic tape, hard disk, floppy disk, ZIP disk, etc.), or any combination thereof. Furthermore, thememory 145 can be a single memory or separate memories, and can reside within thehost 140 or theterminals 120 or independently thereof with separate access thereto. - In another embodiment, the
vehicle 150 is also equipped with a conventionally available global positioning system (GPS) 170. The GPS provides vehicle positioning data that can be transmitted from thevehicle 150 to thehost 140 over the network 110. This vehicle positioning data can be used by the host for any number of functions including predicting and updating the predicted arrival and departure times, as explained in more detail below. Likewise, the vehicle speed and other information can be transmitted from thevehicle 150 to thehost 140. - The scheduling occurs at the
host 140 and begins withstep 200 in FIG. 2. Thehost 140 receives transportation requests from the terminals 120 (e.g., passenger terminals P and/or freight terminals F) instep 210. Transportation requests include requests by a potential passenger or a group of passengers to be picked up at one location and taken to a destination. For example, a potential passenger can access an Internet site at thehost 140 from a passenger (or the number of passengers) terminal P1 over the network 110 and transmit a request to be picked up at the passenger depot in Town A and taken to the passenger depot in Town B. The transportation request can include a desired pick-up time, a desired arrival time, number of passengers, and any other information needed by thehost 140 to process the transportation request (e.g., credit card information, telephone number, etc.). Transportation requests also include requests by freight shippers to pick up and deliver freight from one location to another location. For example, a freight shipper can access an Internet site at thehost 140 from a freight terminal F1 over the network 110 and transmit a request to pick up a specified number of cartons having specified dimensions (i.e., volume) and weight from a warehouse in Town A and deliver it to a store in Town B. A transportation request can be a one-time request (e.g., to deliver a shipment from Town A to Town B on Day X) or a standing request (e.g., a mail contract to deliver mail between Town A and Town B daily for three months). - It is to be expressly understood that under some embodiments, transportation requests can exclude passenger requests. In such an embodiment, passenger terminals P will only be able to access the route schedule at the
host 140 to determine when and where a scheduledvehicle 150 will be available to pick up passengers (i.e., the scheduled destinations of a vehicle 150). Alternatively, transportation requests for passengers can be accepted only when a group of a predetermined number of passengers (i.e., a group of at least ten passengers) make a request. - It is also to be expressly understood that the information conveyed by a transportation request will depend on design considerations. For example, the operator of
vehicle 150 can require a request to transport freight to be specific, describing the size, weight and contents of a delivery. However, in some embodiments, even a request to transport freight need not be specific as to size and weight so long as it falls within set guidelines (e.g., small, lightweight packages). Likewise, in some embodiments, the operator ofvehicle 150 can require prepayment at the time the transportation request is submitted, while in other embodiments, the operator can bill the freight shipper. - Once a transportation request is received at the
host 140, thehost 140 creates a route instep 220. That is, preferably thehost 140 accessesmemory 145 and retrieves a database containing available vehicles and destinations. Where a route already exists (e.g., avehicle 150 is already scheduled to travel to or near the subject town), thehost 140 will determine whether additional passengers, freight and/or destinations can be added. If a route does not already exist or an additional destination cannot be added to an existing route, thehost 140 creates a new route (e.g., using conventionally available mapping software) based on past traveled routes, distance between destinations, major highways, etc. A number of routing algorithms are conventionally available to aid in the route planning. Thehost 140, in one variation, may receive passenger and freight requests to specific destinations over a predetermined period of time or when enough requests are made before generating a new route. For example, it may receive passenger and/or freight requests over a twenty-four hour period so as to schedule a new route. Or, when it receives enough passenger and/or freight requests that make a route profitable, the new route is mapped and scheduled. As another embodiment, with each passenger and/or freight request, thehost 140 may re-examine already issued schedules to see if the current passenger and/or freight request can be fitted into an existing schedule to make an existing schedule even more profitable. In this latter embodiment, it may be that two or more schedules are modified with the new passenger/freight request to, for example, generate three profitable routes from the two and the new request. Any of a number of variations to the above are possible under the teachings of the present invention. - The
host 140 then predicts arrival and departure times for each destination along the newly scheduled route instep 230. Thehost 140 can use any suitable algorithm to predict arrival and departure times based on, for example, mileage, past travel times, speed limits, traffic reports, etc. Instep 240, thehost 140 generates a route schedule including each destination along the route created instep 220 and a corresponding predicted arrival and departure time for each destination. Other information can also be included, such as directions for the driver of thevehicle 150, estimated speed, etc. Once thehost 140 has generated the route schedule instep 240, thehost 140 transmits the generated route schedule to thevehicle 150 and thevehicle 150 begins to travel the route. - In
step 250, thehost 140 receives actual arrival and departure times from thevehicle 150 as thevehicle 150 travels to destinations on the route. For example, when thevehicle 150 arrives at a warehouse in Town A, the arrival time is transmitted, either automatically or manually by the driver ofvehicle 150, to thehost 140. When thevehicle 150 departs the warehouse in Town A, the departure time is transmitted to thehost 140. Thevehicle 150 can also transmit the time at other positions along the route (i.e., with respect to theGPS 170, discussed below). When thehost 140 receives the actual times from thevehicle 150, thehost 140 updates the route schedule instep 260, changing the predicted arrival or departure time to reflect the actual arrival or departure time. Also instep 260, thehost 140 updates the predicted arrival and departure times of the other destinations on the route based on the actual times. As such, the vehicle is scheduled in real-time. That is, the route schedule is updated to reflect changes to the transportation needs of the serviced communities and the actual travel and loading times of thevehicle 150. - It is to be expressly understood that the
vehicle 150 can transmit actual times to thehost 140, thehost 140 can poll thevehicle 150, the transmission of actual times can be periodic, event driven (i.e., when an actual time is different from a predicted time), etc. Likewise, the schedule need not be constantly updated and can be fixed absent an interrupt (i.e., an actual time that is different from a predicted time). - In
step 270, thehost 140 posts the route schedule when it is generated (i.e., in step 240) and as it is updated (i.e., in step 260) so that the posted route schedule is accessible over the network from anyremote terminal 120 including at least the passenger terminal P, the freight terminal F, and thevehicle 150. For example, in the preferred embodiment where the method of the present invention is implemented using an Internet site, the route schedule is posted as a web page at the Internet site and can be viewed by anyremote terminal 120 that accesses that web page from the Internet site. However, it is understood that the terms “posting” or “posted” are not limited to passively leaving the schedule at a fixed place to be accessed by theterminals 120 and is also intended to include thehost 140 actively transmitting the schedule to theterminals 120, for example, by facsimile, email, page, voice message, etc. - It is to be expressly understood that the steps shown in FIG. 2 are those of a preferred embodiment of the method of the present invention. However, under the teachings of the present invention, the steps shown in FIG. 2 can be performed in any order, additional steps can be added, or steps can be omitted altogether under various embodiments of the present invention.
- Using the method of the present invention,
vehicles 150 can be scheduled to provide freight and passenger transportation services to areas that previously had few or no mass transit alternatives. The operation ofvehicles 150 in these areas can be profitable based both on the scheduling flexibility (i.e., providing services on an “as needed” basis) and from fees charged to haul freight in these areas. In addition, the ability to update the schedule to account for changes in transportation requests and the actual travel times of thevehicle 150 provide passengers and freight shippers with current schedules to better plan their own schedules. - FIGS. 3a-3 e show examples of schedules generated by the
host 140 and accessible by theterminals 120 over the network 110 using the method of the present invention. FIG. 3a shows aschedule 300 a generated by thehost 140 using the method of the present invention (i.e., in step 240).Schedule 300 a contains atime field 310 displaying the time that theschedule 300 a was last updated or changed. Preferably, theschedule 300 a is updated immediately upon any changes taking effect.Schedule 300 a also contains a two-dimensional data array containing acomplete column 320, adestination column 330, anarrival column 340, and adeparture column 350. Thedestination column 330 lists eachdestination 335 that thevehicle 150 is scheduled to stop at (i.e., the route). The arrival anddeparture columns destination 335. In FIG. 3a, thevehicle 150 has not arrived at any of thedestinations 335 listed in theroute schedule 300 a and therefore the times listed under thearrival column 340 and thedeparture column 350 are predicted times (i.e., determined by thehost 140 in step 230). Thecomplete column 320 indicates whether thevehicle 150 has arrived and/or departed from the corresponding destination, as explained with reference to FIG. 3b. - In FIG. 3b, the
time field 310 has been updated by the host 140 (i.e., in step 260) to indicate the time that theschedule 300 b was last updated (i.e., 8:30 a.m.). In addition, a marking 325 in thecomplete column 320 indicates that thevehicle 150 has already departed from the first destination 335 (i.e., the Town A Post Office), and that thearrival time 345 anddeparture time 355 shown for thatdestination 335 are actual times received by thehost 140 from the vehicle 150 (i.e., in step 250). In the example schedule shown in FIG. 3b, thevehicle 150 arrived at the predicted time (i.e., 8:00 a.m. shown in FIG. 3a), but did not depart until 8:25 a.m. As such, theschedule 300 b has been updated by the host 140 (i.e., in step 260) to reflect the new predictedarrival time 345 and predicteddeparture time 355 from the remaining destinations. For example, the predicted arrival and departure times for the Town A Warehouse are shown in FIG. 3b having been updated to account for the ten minute delay at the Town A Post Office. - It is to be understood that the marking325 can be any suitable marking and need not be the “X” shown in FIG. 3b. For example, the letter “A” can appear under the
complete column 320 when thevehicle 150 has arrived, thus indicating that thearrival time 345 for that destination is an actual time while the departure time is still a predicted time. Under this embodiment, the letter “D” can appear when thevehicle 150 departs, thus indicating that both thearrival time 345 and thedeparture time 355 are actual times for that destination. Other embodiments are also contemplated under the teachings of the present invention. - In FIG. 3c, the
time field 310 has been updated by the host 140 (i.e., in step 260) to indicate the time that theschedule 300 c was last updated (i.e., 9:45 a.m.).Markings 325 indicate that thevehicle 150 has arrived and departed from the first two destinations and is therefore traveling to the third destination (i.e., the Town C Post Office). Again, the arrival anddeparture times schedule 300 c shown in FIG. 3c has been updated to remove a destination (i.e., the Town B Hardware shown in FIG. 3a) from the route (e.g., due to a request to reschedule or a request to cancel a scheduled freight delivery received at thehost 140 from a terminal 120 in step 210). As such, the predicted arrival anddeparture times schedule 300 c. - It is to be understood that although a transportation request requesting that a delivery be cancelled is received by the
host 140, thevehicle 150 can still stop to pick up passengers if desired under the teachings of the present invention. That is, having received a cancellation, thehost 140 can leave the cancelled destination on the route schedule. In one such embodiment, thehost 140 can leave cancelled destinations on the route schedule if the cancellation is received within one hour of thevehicle 150 reaching that destination, if there are also requests for passenger transportation at that destination, etc. Alternatively, thehost 140 can cancel a destination if another nearby destination has not been cancelled. Such modifications increase the reliability of the route schedule, especially for passengers. These modifications are design considerations and fall within the scope of the method of the present invention. - In FIG. 3d, the
time field 310 has been updated by the host 140 (i.e., in step 260) to reflect the time that theschedule 300 d was last updated (i.e., 9:55 a.m.). In addition, another destination (i.e., the Town C Grocery) has been added to theschedule 300 d (i.e., in step 210) and the predicted arrival anddeparture times schedule 300 d. - In FIG. 3e, the
time field 310 has been updated by the host 140 (i.e., in step 260) to reflect the time that theschedule 300 d was last updated (i.e., 11:00 a.m.). In addition, FIG. 3e illustrates an alternative embodiment in which thevehicle 150 is equipped with aglobal positioning system 170. As such, vehicle positioning data (i.e., the vehicle location, speed, etc.) determined by theglobal positioning system 170 and/or other electronic equipment (i.e., speedometer, etc.) on thevehicle 150 is transmitted over the network 110 to thehost 140. The vehicle positioning data can be used by the host 140 (i.e., using a suitable algorithm) to update and post nearlyinstantaneous scheduling data 360 in step 270 (e.g., distance, time, etc. beforevehicle 150 reaches a destination 335). The vehicle positioning data can also be used to update the predicted arrival anddeparture times - It is to be expressly understood that the schedules shown in FIGS. 3a-e are examples and are intended only to illustrate the method of the present invention. Other schedules are contemplated under the teachings of the present invention, and can contain more or less information than that shown in FIGS. 3a-e. For example, various color schemes can be employed to indicate additional information. That is, predicted times can appear in red while actual times appear in black. In another embodiment, the actual times can be posted next to the predicted times so that the predicted times can be compared to the actual times for reliability of the predicted times. In yet another embodiment, the current time is displayed in addition to the time the schedule was last updated. Likewise, the time field can also contain the date, a countdown to the next arrival and/or departure of
vehicle 150, etc. - In FIG. 4, the
process step 220 in FIG. 2 is set forth in greater detail. The process step, in FIG. 4, enters at 220 a and stops at 220 b.Stage 220 is entered afterstage 210 receives transportation requests. These transportation requests can be passenger or freight requests. - In
step 400 thehost 140 searches the existing route pertinent to the received transportation request. This search is performed in memory 145 (FIG. 1) and more specifically in aroute database 145 a. Once all available existing routes pertinent to the received transportation request are retrieved,stage 410 is entered to ascertain what whether or not the existing transportation request (these requests can be one or several) can be added to existing routes. If they can be added to existing routes, then stage 420 is entered and these additional transportation requests are added to the existing routes. As will be explained later, with respect to FIG. 5, this determination instage 410 is one whether or not a passenger seat will be available for a passenger transportation request from the requested pick up to the requested destination and, likewise, freight requirements for a freight transportation request from a requested pick up to a requested destination. If a passenger seat or freight space is available, then instage 420, the process of the present invention adds the new request to existing routes. If they cannot be added to existing routes because the routes are filled with respect to the transportation request, then stage 430 is entered. - In
stage 430, thehost 140 looks at the existing route pertinent to the transportation request selected from theroute database 145 a and performs conventional software analysis determining whether or not the routes can be modified, partially combined together, split (e.g., two routes into three) in order to handle the new transportation request. For example, assume two existing routes are uncovered instep 400 and there are four additional transportation requests for passengers and freight. Upon conventional critical path analysis, it is discovered that modifying the two existing routes by creating three routes from the two and the four transportation requests actually results in three new routes which are at least as profitable as the prior two and, most likely, more profitable. In the modifystage 430, the passenger seat availability for the existing routes and the new route, the freight requirements for the existing routes and the new routes are all considered along with profitability as will be subsequently explained with respect to FIG. 5. If it is possible to modify, then stage 440 is entered and the modification occurs. If not, then the existing routes are left alone and in stage 450 a new route is created for the received transportation requests. If there are not enough received transportation requests, then stage 210 is re-entered and the whole process repeats until enough received transportation requests are obtained to make a new route instage 450. Instage 450, the passenger seat availability, the freight requirements, and the profitability of the new route are all considered and, if proper,stage 460 is entered to create a new route. It is to be expressly understood that the process of FIG. 2 and FIGS. 4 and 5 is a continuous and iterative process which may be periodic, aperiodic, or continuously operating in the background of thehost 140. From a passenger point of view or from a freight shipment point of view, the destination of each individual transportation request remains the same whether or not the routes are dynamically changing. The goal is to maximize passenger seat usage, ship as much as possible freight, and to receive a maximum profitability figure. - In FIG. 5 and in each410, 430, and 450, each new transportation request is evaluated as to available passenger seats in
stage 510, available freight requirements (i.e., volume and weight) instage 520, profitability instage 530 and, if the answer is yes to all three, then adding (stage 420), modification (stage 440), or creation (stage 450) is entered. It is to be expressly understood that many variations on the method presented in FIGS. 4 and 5 can occur. For example, rather than determining profitability instage 530, this step can be eliminated since having a predetermined number of passenger seats filled in stage 550 and/or the freight requirements fulfilled instage 520 would indicate profitability without a separate stage. Indeed, it is the combined usage of the passenger seats 510 and thefreight space 520 that could achieve a profit value. For example, two or three passengers with eighty percent of the freight space could indicate profitability or ninety percent of the passenger seats filled with twenty percent of the freight requirements utilized could indicate profitability or any suitable combined figure. With respect to using a profitability determination instage 530, the profit value of each passenger and the profit value of each freight shipment could be determined to arrive at an overall predetermined profit figure for the vehicle traveling the route which would have to be achieved for the travel to occur and the route to be created. It is to be understood that the freight transportation requests include reservations for cubic space (whether or not the space is actually used) in the creation of a route. - The foregoing discussion of the invention has been presented for purposes of illustration and description. Further, the description is not intended to limit the invention to the form disclosed herein. Consequently, variation and modification commensurate with the above teachings, within the skill and knowledge of the relevant art, are within the scope of the present invention. The embodiment described herein and above is further intended to explain the best mode presently known of practicing the invention and to enable others skilled in the art to utilize the invention as such, or in other embodiments, and with the various modifications required by their particular application or uses of the invention. It is intended that the appended claims be construed to include alternate embodiments to the extent permitted by the prior art.
Claims (16)
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Cited By (53)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030036935A1 (en) * | 2001-08-15 | 2003-02-20 | Nel Andre M. E. | Allocating freight haulage jobs |
US20040039652A1 (en) * | 2001-09-07 | 2004-02-26 | Tighe Christopher Patrick | Automated requesting system |
WO2004021306A2 (en) * | 2002-08-29 | 2004-03-11 | Itis Holdings Plc | Traffic scheduling system |
US20040064250A1 (en) * | 2001-01-11 | 2004-04-01 | Hideaki Hirano | Navigation device and route retrieving device |
US20040117196A1 (en) * | 2002-12-13 | 2004-06-17 | Brockman Gary B. | Method and apparatus for supporting delivery, sale and billing of perishable and time-sensitive goods such as newspapers, periodicals and direct marketing and promotional materials |
US20050080552A1 (en) * | 2000-08-28 | 2005-04-14 | Trafficsoft, Inc. (Formerly Estimotion Inc.) | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
EP1528496A1 (en) * | 2003-10-31 | 2005-05-04 | Elsag Spa | Mail delivery support system |
US20050154626A1 (en) * | 2004-01-09 | 2005-07-14 | Mike Jones | Dynamic window vehicle tracking method |
WO2006000208A1 (en) * | 2004-06-27 | 2006-01-05 | Stiftung Alfred-Wegener-Institut Für Polar- Und Meeresforschung | Computer-assisted journey planning method |
US20060085203A1 (en) * | 2004-10-19 | 2006-04-20 | Ford Motor Company | Computer-implemented method and system for determining vehicle delivery estimated time of arrival |
US20060122846A1 (en) * | 2002-08-29 | 2006-06-08 | Jonathan Burr | Apparatus and method for providing traffic information |
US20060149461A1 (en) * | 2004-12-31 | 2006-07-06 | Henry Rowley | Transportation routing |
US20060235739A1 (en) * | 2005-04-18 | 2006-10-19 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
US20070143012A1 (en) * | 2005-12-20 | 2007-06-21 | Trapeze Software Inc. | System and method of optimizing a fixed-route transit network |
EP1833292A2 (en) * | 2004-12-07 | 2007-09-19 | Pitney Bowes, Inc. | Method and system for gps augmentation of mail carrier efficiency |
WO2008137083A2 (en) | 2007-05-02 | 2008-11-13 | Kabushiki Kaisha Toshiba | Optimum route planning for service vehicles |
US20090143965A1 (en) * | 2007-12-03 | 2009-06-04 | National Taiwan University | Vehicle dispatch system |
WO2009092544A1 (en) * | 2008-01-21 | 2009-07-30 | Daimler Ag | Method and device for allocating freight and/or freight room to a truck |
ES2325897A1 (en) * | 2007-04-09 | 2009-09-23 | Marco Antonio Navarro Juan | System and method of public transport management. (Machine-translation by Google Translate, not legally binding) |
US20090241797A1 (en) * | 2008-03-30 | 2009-10-01 | Flavio Costa | Ecological Goods Logistics System |
US20100076878A1 (en) * | 2006-09-12 | 2010-03-25 | Itis Holdings Plc | Apparatus and method for implementing a road pricing scheme |
US20100120436A1 (en) * | 2004-07-09 | 2010-05-13 | Itis Uk Limited | System and method for geographically locating a cellular phone |
US20110178701A1 (en) * | 2010-01-21 | 2011-07-21 | Qualcomm Incorporated | Methods And Apparatuses For Use In Route Navigation Involving A Mobile Station |
US20110184773A1 (en) * | 2009-12-30 | 2011-07-28 | Trapeze Software Inc. | Method and System for Planning Paratransit Runs |
US20130024227A1 (en) * | 2011-07-20 | 2013-01-24 | Fujitsu Limited | Information processing technique for determining traveling route |
US20130158846A1 (en) * | 2010-08-26 | 2013-06-20 | Yukang Zhang | Intelligent urban public transportation system oriented to passenger travel and implementation method thereof |
US8521577B2 (en) * | 2011-03-29 | 2013-08-27 | Trapeze Software, Inc. | Method and system for paratransit run-cutting |
GB2501075A (en) * | 2012-04-10 | 2013-10-16 | Hin Wai Lui | Dynamically demand-responsive transport |
US20140058772A1 (en) * | 2012-08-22 | 2014-02-27 | James Moskos | System and method for conducting an electronic auction for available cargo capacity on a cargo carrier |
US20140172738A1 (en) * | 2012-12-14 | 2014-06-19 | Thomas Schulz | Knowledge based initialization for routing optimization |
US20140188999A1 (en) * | 2013-01-02 | 2014-07-03 | Dmeautomotive | Methods, systems, and devices for communication between a vehicle service center and a mobile computing device |
US20140288982A1 (en) * | 2013-03-19 | 2014-09-25 | Xerox Corporation | Temporal series alignment for matching real trips to schedules in public transportation systems |
US20150228192A1 (en) * | 2012-09-20 | 2015-08-13 | Toyota Jidosha Kabushiki Kaisha | On-demand vehicle operation management device, on-demand vehicle operation management method, and on-demand vehicle operation management system |
US9117372B2 (en) | 2012-03-08 | 2015-08-25 | Lawo Informationssysteme Gmbh | Transportation system arrival and departure time calculation and display system |
US9418545B2 (en) | 2011-06-29 | 2016-08-16 | Inrix Holding Limited | Method and system for collecting traffic data |
US20170236091A1 (en) * | 2016-02-11 | 2017-08-17 | Wal-Mart Stores, Inc. | Delivery estimates with improved accuracy |
US9773282B1 (en) * | 2015-04-29 | 2017-09-26 | Intuit Inc. | Method and system for providing a spending analysis display dynamically adapted to defined categories of day and/or date |
WO2017164922A1 (en) * | 2016-03-23 | 2017-09-28 | Ford Global Tecnologies, Llc | System and method for providing a mobility network |
CN107256627A (en) * | 2017-03-21 | 2017-10-17 | 江建国 | Automatic driving vehicle dispatching method, apparatus and system |
US9798985B2 (en) | 2009-02-02 | 2017-10-24 | Inrix Holdings Limited | Apparatus and methods for providing journey information |
US9810543B2 (en) * | 2011-04-01 | 2017-11-07 | Volkswagen Aktiegesellschaft | Method and device for carrying out travel route planning for a vehicle |
US10008121B2 (en) | 2016-05-02 | 2018-06-26 | Conduent Business Services, Llc | Method and system for managing a dispatch of vehicles |
CN110147924A (en) * | 2019-04-08 | 2019-08-20 | 浙江华云信息科技有限公司 | A kind of intelligent dispatching system and its dispatching method of car for public affairs |
WO2020130931A1 (en) * | 2018-12-18 | 2020-06-25 | Grabtaxi Holdings Pte. Ltd. | Communications server apparatus and method for operation thereof |
WO2020224920A1 (en) * | 2019-05-08 | 2020-11-12 | Daimler Ag | Method for assessing a freight order by means of a freight order assessment system, and freight order assessment system |
US10891690B1 (en) * | 2014-11-07 | 2021-01-12 | Intuit Inc. | Method and system for providing an interactive spending analysis display |
US10988081B2 (en) * | 2018-10-22 | 2021-04-27 | Toyota Jidosha Kabushiki Kaisha | Vehicle notification system |
CN112749864A (en) * | 2019-10-31 | 2021-05-04 | 中车株洲电力机车研究所有限公司 | Subway freight scheduling method, storage medium, computing device and system |
CN113487136A (en) * | 2021-06-07 | 2021-10-08 | 海南太美航空股份有限公司 | Method and system for urgent scheduling of aviation transport capacity and electronic equipment |
US20210365885A1 (en) * | 2020-05-20 | 2021-11-25 | Ebay Inc. | Concurrent queuing and delivery in an online marketplace |
US20220146268A1 (en) * | 2018-06-21 | 2022-05-12 | Toyota Jidosha Kabushiki Kaisha | Information processing apparatus and information processing method |
US20230162100A1 (en) * | 2021-01-28 | 2023-05-25 | Nissan Motor Co., Ltd. | Combined passenger and freight transport system, vehicle dispatch device therein, and vehicle dispatch method therein |
EP4206850A1 (en) * | 2017-07-21 | 2023-07-05 | Beijing Tusen Zhitu Technology Co., Ltd. | System, method and associated apparatus for autonomous vehicle transportation |
Families Citing this family (73)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6418413B2 (en) * | 1999-02-04 | 2002-07-09 | Ita Software, Inc. | Method and apparatus for providing availability of airline seats |
US6736317B1 (en) * | 1999-04-20 | 2004-05-18 | Mcdonald Ian | Real time internet-based transit management and control system with wireless vehicular data link |
US7562027B1 (en) * | 1999-11-01 | 2009-07-14 | Ita Software, Inc. | Availability processing in a travel planning system |
WO2001033472A2 (en) * | 1999-11-01 | 2001-05-10 | Ita Software, Inc. | Method and apparatus for providing availability of airline seats |
US6446045B1 (en) * | 2000-01-10 | 2002-09-03 | Lucinda Stone | Method for using computers to facilitate and control the creating of a plurality of functions |
CA2340823A1 (en) * | 2000-03-15 | 2001-09-15 | Dennis Kornacki | Pricing and costing system, method and computer program product |
US7216085B1 (en) * | 2000-07-13 | 2007-05-08 | Ita Software, Inc. | Competitive availability tools |
JP2002132806A (en) * | 2000-10-18 | 2002-05-10 | Fujitsu Ltd | Server system, and information providing service system and method |
JP2002170197A (en) * | 2000-12-04 | 2002-06-14 | Nec Corp | Patrol path guide method, system thereof, device thereof, and recording medium recording program |
JP2002259522A (en) * | 2000-12-26 | 2002-09-13 | Tohsho Logitech Kk | Efficiency improving system for load transportation service |
US20020095326A1 (en) * | 2001-01-16 | 2002-07-18 | Interactive Voice Data Systems, Inc. | Automated and remotely operated vehicle dispatching, scheduling and tracking system |
US7212984B2 (en) * | 2001-10-29 | 2007-05-01 | Qualcomm Incorporated | Method and apparatus for providing virtual capacity to a provider of services |
US7565155B2 (en) * | 2002-04-10 | 2009-07-21 | Networks In Motion | Method and system for dynamic estimation and predictive route generation |
US6625539B1 (en) * | 2002-10-22 | 2003-09-23 | Electricab Taxi Company | Range prediction in fleet management of electric and fuel-cell vehicles |
JP4142468B2 (en) * | 2003-02-28 | 2008-09-03 | 矢崎総業株式会社 | Traveling bus route acquisition system and arrival notification system |
EP1537383B1 (en) * | 2003-07-16 | 2019-06-19 | Harman Becker Automotive Systems GmbH | Transmission of special routes to a navigation device |
US20050114194A1 (en) * | 2003-11-20 | 2005-05-26 | Fort James Corporation | System and method for creating tour schematics |
US7657452B2 (en) * | 2003-11-20 | 2010-02-02 | Georgia-Pacific Consumer Products Lp | System and method for tour optimization |
US7634421B2 (en) | 2003-11-20 | 2009-12-15 | Fort James Corporation | System and method for tour planning |
US7702427B1 (en) * | 2004-07-30 | 2010-04-20 | The United States Of America As Represented By The National Aeronautics And Space Administration (Nasa) | Air traffic management evaluation tool |
US7406467B1 (en) | 2004-12-03 | 2008-07-29 | Unisys Corporation | Network-based management of airline customer data |
US20070185598A1 (en) * | 2006-01-23 | 2007-08-09 | Ortega Francisco E | Cargo reservation system and method |
US8417550B2 (en) * | 2007-08-02 | 2013-04-09 | Target Brands, Inc. | Inland freight management |
US8131584B2 (en) * | 2007-08-02 | 2012-03-06 | Target Brands, Inc. | Gateway balancing |
US8972177B2 (en) | 2008-02-26 | 2015-03-03 | Microsoft Technology Licensing, Llc | System for logging life experiences using geographic cues |
US8015144B2 (en) | 2008-02-26 | 2011-09-06 | Microsoft Corporation | Learning transportation modes from raw GPS data |
US8966121B2 (en) * | 2008-03-03 | 2015-02-24 | Microsoft Corporation | Client-side management of domain name information |
US20090273489A1 (en) * | 2008-05-02 | 2009-11-05 | Jeffery Khuong Lu | System and method for transportation vehicle tracking |
US20130002456A1 (en) * | 2008-12-31 | 2013-01-03 | Fuller Max L | In-Cab Communications Module |
US9063226B2 (en) | 2009-01-14 | 2015-06-23 | Microsoft Technology Licensing, Llc | Detecting spatial outliers in a location entity dataset |
US9009177B2 (en) | 2009-09-25 | 2015-04-14 | Microsoft Corporation | Recommending points of interests in a region |
US9261376B2 (en) | 2010-02-24 | 2016-02-16 | Microsoft Technology Licensing, Llc | Route computation based on route-oriented vehicle trajectories |
US10288433B2 (en) * | 2010-02-25 | 2019-05-14 | Microsoft Technology Licensing, Llc | Map-matching for low-sampling-rate GPS trajectories |
TW201133263A (en) * | 2010-03-26 | 2011-10-01 | Hon Hai Prec Ind Co Ltd | System and method for managing information of taking vehicle intelligently |
US9593957B2 (en) | 2010-06-04 | 2017-03-14 | Microsoft Technology Licensing, Llc | Searching similar trajectories by locations |
TWI410342B (en) * | 2010-06-15 | 2013-10-01 | Method and system for transmitting and receiving vehicle information | |
CN102340335A (en) * | 2010-07-21 | 2012-02-01 | 财团法人交大思源基金会 | Vehicle information transmission and receiving method and system thereof |
CN102441717A (en) * | 2010-07-27 | 2012-05-09 | 应用材料公司 | Methods of soldering to high efficiency thin film solar panels |
US8630897B1 (en) * | 2011-01-11 | 2014-01-14 | Google Inc. | Transportation-aware physical advertising conversions |
EP2530635A1 (en) * | 2011-06-01 | 2012-12-05 | Amadeus S.A.S. | Method and system for optimizing revenue management in a travel environment |
US10055804B2 (en) | 2011-09-20 | 2018-08-21 | Metrobee, Llc | Roaming transport distribution management system |
US10438146B2 (en) | 2011-09-20 | 2019-10-08 | Metrobee, Llc | Roaming transport distribution management system |
US9754226B2 (en) | 2011-12-13 | 2017-09-05 | Microsoft Technology Licensing, Llc | Urban computing of route-oriented vehicles |
US20130166188A1 (en) | 2011-12-21 | 2013-06-27 | Microsoft Corporation | Determine Spatiotemporal Causal Interactions In Data |
US20130179205A1 (en) * | 2012-01-10 | 2013-07-11 | Eduard SLININ | Systems and methods for optimizing transportation resources |
US10352720B2 (en) * | 2013-08-28 | 2019-07-16 | Here Global B.V. | Method and apparatus for assigning vehicles to trips |
US20160048804A1 (en) * | 2014-08-14 | 2016-02-18 | Sunil Paul | Systems and methods for transportation services for package delivery |
US9524600B2 (en) * | 2015-05-04 | 2016-12-20 | DigiPas USA, LLC | Luggage locking device and baggage handling method |
US20170011312A1 (en) * | 2015-07-07 | 2017-01-12 | Tyco Fire & Security Gmbh | Predicting Work Orders For Scheduling Service Tasks On Intrusion And Fire Monitoring |
US10592964B2 (en) | 2016-03-29 | 2020-03-17 | Walmart Apollo, Llc | Order fulfillment management |
US10489738B2 (en) | 2016-04-01 | 2019-11-26 | Walmart Apollo, Llc | System and method for facilitating bids by delivery drivers on customer store item deliveries |
MX2019006933A (en) | 2016-12-14 | 2019-12-05 | Walmart Apollo Llc | System and method for delivering packages to customers. |
CA3047006A1 (en) | 2016-12-16 | 2018-06-21 | Walmart Apollo, Llc | Systems and methods for assessing delivery vehicles |
WO2018125858A1 (en) | 2016-12-27 | 2018-07-05 | Walmart Apollo, Llc | Crowdsourced delivery based on a set of requirements |
US10977604B2 (en) | 2017-01-23 | 2021-04-13 | Uber Technologies, Inc. | Systems for routing and controlling vehicles for freight |
US10082793B1 (en) * | 2017-03-21 | 2018-09-25 | GM Global Technology Operations LLC | Multi-mode transportation planning and scheduling |
WO2018191451A1 (en) | 2017-04-13 | 2018-10-18 | Walmart Apollo, Llc | Systems and methods for receiving retail products at a delivery destination |
US10762447B2 (en) | 2017-05-23 | 2020-09-01 | Uatc, Llc | Vehicle selection for on-demand transportation services |
US11282009B2 (en) | 2017-05-23 | 2022-03-22 | Uatc, Llc | Fleet utilization efficiency for on-demand transportation services |
US11282016B2 (en) | 2017-05-23 | 2022-03-22 | Uatc, Llc | Individualized risk vehicle matching for an on-demand transportation service |
US11288612B2 (en) | 2017-05-23 | 2022-03-29 | Uatc, Llc | Generalized risk routing for human drivers |
US11080806B2 (en) * | 2017-05-23 | 2021-08-03 | Uber Technologies, Inc. | Non-trip risk matching and routing for on-demand transportation services |
US10697789B2 (en) | 2017-05-23 | 2020-06-30 | Uatc, Llc | Individualized risk routing for human drivers |
US10884902B2 (en) | 2017-05-23 | 2021-01-05 | Uatc, Llc | Software version verification for autonomous vehicles |
US10789835B2 (en) | 2017-05-23 | 2020-09-29 | Uatc, Llc | Fractional risk performance evaluation for autonomous vehicles |
US10427846B2 (en) | 2017-06-02 | 2019-10-01 | Walmart Apollo, Llc | System and method for determining package tampering |
US10535036B2 (en) | 2017-08-25 | 2020-01-14 | Walmart Apollo, Llc | Systems and methods for delivering products to a customer via another customer and an autonomous transport vehicle |
US11250372B2 (en) | 2017-09-22 | 2022-02-15 | Uber Technologies, Inc | Freight network system using modularized trailers |
US10373492B2 (en) * | 2017-10-25 | 2019-08-06 | Uber Technologies, Inc. | Network computer system to evaluate an operator of a freight vehicle |
US11392881B2 (en) * | 2018-04-16 | 2022-07-19 | Uber Technologies, Inc. | Freight vehicle matching and operation |
US11085779B2 (en) * | 2018-12-14 | 2021-08-10 | Toyota Research Institute, Inc. | Autonomous vehicle route planning |
US11155263B2 (en) | 2019-03-08 | 2021-10-26 | Uber Technologies, Inc. | Network computer system to control freight vehicle operation configurations |
US20230342874A1 (en) * | 2022-04-25 | 2023-10-26 | Toyota Motor North America, Inc. | Prioritizing access to shared vehicles based on need |
Family Cites Families (37)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4092718A (en) | 1974-03-21 | 1978-05-30 | Wendt Hans J | Computerized dispatching system |
US5416706A (en) | 1984-04-27 | 1995-05-16 | Hagenbuch; Leroy G. | Apparatus for identifying containers from which refuse is collected and compiling a historical record of the containers |
US5168451A (en) | 1987-10-21 | 1992-12-01 | Bolger John G | User responsive transit system |
US5265006A (en) | 1990-12-14 | 1993-11-23 | Andersen Consulting | Demand scheduled partial carrier load planning system for the transportation industry |
FR2694114B1 (en) | 1992-07-22 | 1994-09-30 | Decaux Jean Claude | Improvements to systems for informing urban transport users about the traffic of vehicles to be used. |
US5758313A (en) | 1992-10-16 | 1998-05-26 | Mobile Information Systems, Inc. | Method and apparatus for tracking vehicle location |
US5736940A (en) | 1993-04-06 | 1998-04-07 | Burgener; E. C. | Portable transit data information system and apparatus |
GB2293071B (en) | 1993-05-14 | 1997-09-17 | Worldwide Notific Syst | Apparatus for signalling notice of arrival of a movable carrier |
FR2706059B1 (en) | 1993-06-04 | 1995-08-25 | Decaux Jean Claude | Installation to inform the users of a bus network about the waiting times of these buses. |
US5666493A (en) | 1993-08-24 | 1997-09-09 | Lykes Bros., Inc. | System for managing customer orders and method of implementation |
WO1995027964A1 (en) | 1994-04-12 | 1995-10-19 | Qualcomm Incorporated | Method and apparatus for freight transportation using a satellite navigation system |
US5875412A (en) | 1994-08-03 | 1999-02-23 | Siemens Automotive L.P. | Vehicle navigation and route guidance system |
US5828979A (en) | 1994-09-01 | 1998-10-27 | Harris Corporation | Automatic train control system and method |
US5623413A (en) | 1994-09-01 | 1997-04-22 | Harris Corporation | Scheduling system and method |
US5724243A (en) | 1995-02-10 | 1998-03-03 | Highwaymaster Communications, Inc. | Method and apparatus for determining expected time of arrival |
JP3247274B2 (en) | 1995-02-28 | 2002-01-15 | 松下電器産業株式会社 | Transport route search device |
CZ288054B6 (en) | 1995-04-06 | 2001-04-11 | Detemobil Deutsche Telekom Mobilnet Gmbh | Data processing method for vehicle control and information system |
US5922040A (en) | 1995-05-17 | 1999-07-13 | Mobile Information System, Inc. | Method and apparatus for fleet management |
US6006159A (en) | 1995-08-14 | 1999-12-21 | Schmier; Kenneth J. | Public transit vehicle arrival information system |
US5712789A (en) * | 1995-08-28 | 1998-01-27 | K&T Ltd. | Container monitoring system and method |
US5774825A (en) | 1995-10-18 | 1998-06-30 | Trimble Navigation Limited | System for automatic vehicle location via cable TV |
US5836529A (en) | 1995-10-31 | 1998-11-17 | Csx Technology, Inc. | Object based railroad transportation network management system and method |
US5835716A (en) | 1995-12-15 | 1998-11-10 | Pitney Bowes Inc. | Method and system for brokering excess carrier capacity |
US6029111A (en) | 1995-12-28 | 2000-02-22 | Magellan Dis, Inc. | Vehicle navigation system and method using GPS velocities |
GB2309320B (en) | 1996-01-18 | 1999-09-08 | Heckett Multiserv Plc | Manufacturing installation and processing operations |
JPH09198439A (en) * | 1996-01-22 | 1997-07-31 | Toyota Motor Corp | Travel plan preparation system |
US5812959A (en) | 1996-02-27 | 1998-09-22 | Trimble Navigation Limited | Automated vehicle recommendation system |
US5799263A (en) | 1996-04-15 | 1998-08-25 | Bct Systems | Public transit system and apparatus and method for dispatching public transit vehicles |
DE19625002B4 (en) | 1996-06-22 | 2005-03-10 | Daimler Chrysler Ag | Vehicle communication system |
US5739774A (en) | 1996-07-12 | 1998-04-14 | Olandesi; Antonio Carlos Tambasco | Mass transit monitoring and control system |
US6005494A (en) | 1996-10-16 | 1999-12-21 | Chrysler Corporation | Energy minimization routing of vehicle using satellite positioning an topographic mapping |
US5982298A (en) | 1996-11-14 | 1999-11-09 | Microsoft Corporation | Interactive traffic display and trip planner |
US6078850A (en) | 1998-03-03 | 2000-06-20 | International Business Machines Corporation | Method and apparatus for fuel management and for preventing fuel spillage |
US6087952A (en) | 1998-03-06 | 2000-07-11 | Mobile Information Systems, Inc. | Remote mobile data suite and method |
US6013007A (en) | 1998-03-26 | 2000-01-11 | Liquid Spark, Llc | Athlete's GPS-based performance monitor |
US6097316A (en) | 1998-04-20 | 2000-08-01 | Visteon Technologies, Llc | Communication protocol for a vehicle navigation system |
US6240362B1 (en) * | 2000-07-10 | 2001-05-29 | Iap Intermodal, Llc | Method to schedule a vehicle in real-time to transport freight and passengers |
-
2001
- 2001-12-20 US US10/029,503 patent/US6411897B1/en not_active Expired - Lifetime
Cited By (104)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050080552A1 (en) * | 2000-08-28 | 2005-04-14 | Trafficsoft, Inc. (Formerly Estimotion Inc.) | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US8918278B2 (en) | 2000-08-28 | 2014-12-23 | Inrix Global Services Limited | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US9552725B2 (en) | 2000-08-28 | 2017-01-24 | Inrix Global Services Limited | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US9324232B2 (en) | 2000-08-28 | 2016-04-26 | INRX Gloabal Services Limited | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US20060111833A1 (en) * | 2000-08-28 | 2006-05-25 | Israel Feldman | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US20060069496A1 (en) * | 2000-08-28 | 2006-03-30 | Israel Feldman | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US6909967B2 (en) * | 2001-01-11 | 2005-06-21 | Xanavi Informatics Corporation | Navigation device and route retrieving device |
US20040064250A1 (en) * | 2001-01-11 | 2004-04-01 | Hideaki Hirano | Navigation device and route retrieving device |
US7353181B2 (en) * | 2001-08-15 | 2008-04-01 | Hewlett-Packard Development Company, L.P. | Allocating freight haulage jobs |
US20030036935A1 (en) * | 2001-08-15 | 2003-02-20 | Nel Andre M. E. | Allocating freight haulage jobs |
US20040039652A1 (en) * | 2001-09-07 | 2004-02-26 | Tighe Christopher Patrick | Automated requesting system |
US20060122846A1 (en) * | 2002-08-29 | 2006-06-08 | Jonathan Burr | Apparatus and method for providing traffic information |
WO2004021306A2 (en) * | 2002-08-29 | 2004-03-11 | Itis Holdings Plc | Traffic scheduling system |
WO2004021306A3 (en) * | 2002-08-29 | 2004-06-24 | Itis Holdings Plc | Traffic scheduling system |
US20060089787A1 (en) * | 2002-08-29 | 2006-04-27 | Burr Jonathan C | Traffic scheduling system |
US20040117196A1 (en) * | 2002-12-13 | 2004-06-17 | Brockman Gary B. | Method and apparatus for supporting delivery, sale and billing of perishable and time-sensitive goods such as newspapers, periodicals and direct marketing and promotional materials |
US8712871B2 (en) | 2002-12-13 | 2014-04-29 | Cox Enterprises, Inc. | Method and apparatus for supporting delivery, sale and billing of perishable and time-sensitive goods such as newspapers, periodicals and direct marketing and promotional materials |
US8117095B2 (en) | 2002-12-13 | 2012-02-14 | Cox Enterprises, Inc. | Apparatus for supporting delivery and redistribution of perishable and time-sensitive goods using a shuffle run |
US7627535B2 (en) | 2002-12-13 | 2009-12-01 | Newspaper Delivery Technologies, Inc. | Method and apparatus for supporting delivery, sale and billing of perishable and time-sensitive goods such as newspapers, periodicals and direct marketing and promotional materials |
US20100042463A1 (en) * | 2002-12-13 | 2010-02-18 | Newspaper Delivery Technologies, Inc. | Method and Apparatus for Supporting Delivery, Sale and Billing of Perishable and Time-Sensitive Goods Such as Newspapers, Periodicals and Direct Marketing and Promotional Materials |
EP1528496A1 (en) * | 2003-10-31 | 2005-05-04 | Elsag Spa | Mail delivery support system |
US20050131576A1 (en) * | 2003-10-31 | 2005-06-16 | Guido De Leo | Mail delivery support system |
US20050154626A1 (en) * | 2004-01-09 | 2005-07-14 | Mike Jones | Dynamic window vehicle tracking method |
WO2006000208A1 (en) * | 2004-06-27 | 2006-01-05 | Stiftung Alfred-Wegener-Institut Für Polar- Und Meeresforschung | Computer-assisted journey planning method |
US9026114B2 (en) | 2004-07-09 | 2015-05-05 | INRX Global Services Limited | System and method for geographically locating a cellular phone |
US9155060B2 (en) | 2004-07-09 | 2015-10-06 | INRX Global Services Limited | System and method for geographically locating a cellular phone |
US8818380B2 (en) | 2004-07-09 | 2014-08-26 | Israel Feldman | System and method for geographically locating a cellular phone |
US20110159875A1 (en) * | 2004-07-09 | 2011-06-30 | Itis Uk Limited | System and method for geographically locating a cellular phone |
US20100120436A1 (en) * | 2004-07-09 | 2010-05-13 | Itis Uk Limited | System and method for geographically locating a cellular phone |
US20110171961A1 (en) * | 2004-07-09 | 2011-07-14 | Itis Uk Limited | System and method for geographically locating a cellular phone |
US20060085203A1 (en) * | 2004-10-19 | 2006-04-20 | Ford Motor Company | Computer-implemented method and system for determining vehicle delivery estimated time of arrival |
US20090005900A1 (en) * | 2004-12-07 | 2009-01-01 | Stemmle Denis J | Method and System for Gps Augmentation of Mail Carrier Efficiency |
EP2374549A3 (en) * | 2004-12-07 | 2011-11-30 | Lockheed Martin Corporation | Method and system for GPS augmentation of mail carrier efficiency |
US20110095154A1 (en) * | 2004-12-07 | 2011-04-28 | Lockheed Martin Corporation | Clamp for mixed mail sorter |
US8143548B2 (en) | 2004-12-07 | 2012-03-27 | Lockheed Martin Corporation | Clamp for mixed mail sorter |
US8326450B2 (en) | 2004-12-07 | 2012-12-04 | Lockheed Martin Corporation | Method and system for GPS augmentation of mail carrier efficiency |
EP1833292A2 (en) * | 2004-12-07 | 2007-09-19 | Pitney Bowes, Inc. | Method and system for gps augmentation of mail carrier efficiency |
EP1833292A4 (en) * | 2004-12-07 | 2011-01-05 | Lockheed Corp | Method and system for gps augmentation of mail carrier efficiency |
US20060149461A1 (en) * | 2004-12-31 | 2006-07-06 | Henry Rowley | Transportation routing |
US7908080B2 (en) * | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
US8798917B2 (en) | 2004-12-31 | 2014-08-05 | Google Inc. | Transportation routing |
US9709415B2 (en) | 2004-12-31 | 2017-07-18 | Google Inc. | Transportation routing |
US9778055B2 (en) | 2004-12-31 | 2017-10-03 | Google Inc. | Transportation routing |
US8606514B2 (en) | 2004-12-31 | 2013-12-10 | Google Inc. | Transportation routing |
US9945686B2 (en) | 2004-12-31 | 2018-04-17 | Google Llc | Transportation routing |
US11092455B2 (en) | 2004-12-31 | 2021-08-17 | Google Llc | Transportation routing |
US7624024B2 (en) * | 2005-04-18 | 2009-11-24 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
EP2626818A3 (en) * | 2005-04-18 | 2013-10-16 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
EP1877978A4 (en) * | 2005-04-18 | 2010-07-21 | United Parcel Service Inc | Systems and methods for dynamically updating a dispatch plan |
US20060235739A1 (en) * | 2005-04-18 | 2006-10-19 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
EP1877978A2 (en) * | 2005-04-18 | 2008-01-16 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
EP2620900A3 (en) * | 2005-04-18 | 2013-10-16 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
US7391341B2 (en) * | 2005-12-20 | 2008-06-24 | Trapeze Software Inc. | System and method of optimizing a fixed-route transit network |
US20070143012A1 (en) * | 2005-12-20 | 2007-06-21 | Trapeze Software Inc. | System and method of optimizing a fixed-route transit network |
US20100076878A1 (en) * | 2006-09-12 | 2010-03-25 | Itis Holdings Plc | Apparatus and method for implementing a road pricing scheme |
ES2325897A1 (en) * | 2007-04-09 | 2009-09-23 | Marco Antonio Navarro Juan | System and method of public transport management. (Machine-translation by Google Translate, not legally binding) |
EP2153173A2 (en) * | 2007-05-02 | 2010-02-17 | Kabushiki Kaisha Toshiba | Optimum route planning for service vehicles |
EP2153173A4 (en) * | 2007-05-02 | 2012-11-14 | Toshiba Kk | Optimum route planning for service vehicles |
WO2008137083A2 (en) | 2007-05-02 | 2008-11-13 | Kabushiki Kaisha Toshiba | Optimum route planning for service vehicles |
US20090143965A1 (en) * | 2007-12-03 | 2009-06-04 | National Taiwan University | Vehicle dispatch system |
US8209118B2 (en) * | 2007-12-03 | 2012-06-26 | National Taiwan University | Vehicle dispatch system |
WO2009092544A1 (en) * | 2008-01-21 | 2009-07-30 | Daimler Ag | Method and device for allocating freight and/or freight room to a truck |
US20090241797A1 (en) * | 2008-03-30 | 2009-10-01 | Flavio Costa | Ecological Goods Logistics System |
US9798985B2 (en) | 2009-02-02 | 2017-10-24 | Inrix Holdings Limited | Apparatus and methods for providing journey information |
US20110184773A1 (en) * | 2009-12-30 | 2011-07-28 | Trapeze Software Inc. | Method and System for Planning Paratransit Runs |
US20110184774A1 (en) * | 2009-12-30 | 2011-07-28 | Trapeze Software Inc. | Method and System for Planning Paratransit Runs |
US9689685B2 (en) * | 2010-01-21 | 2017-06-27 | Qualcomm Incorporated | Methods and apparatuses for use in route navigation involving a mobile station |
US20110178701A1 (en) * | 2010-01-21 | 2011-07-21 | Qualcomm Incorporated | Methods And Apparatuses For Use In Route Navigation Involving A Mobile Station |
US20130158846A1 (en) * | 2010-08-26 | 2013-06-20 | Yukang Zhang | Intelligent urban public transportation system oriented to passenger travel and implementation method thereof |
US8521577B2 (en) * | 2011-03-29 | 2013-08-27 | Trapeze Software, Inc. | Method and system for paratransit run-cutting |
US9810543B2 (en) * | 2011-04-01 | 2017-11-07 | Volkswagen Aktiegesellschaft | Method and device for carrying out travel route planning for a vehicle |
US9418545B2 (en) | 2011-06-29 | 2016-08-16 | Inrix Holding Limited | Method and system for collecting traffic data |
US20130024227A1 (en) * | 2011-07-20 | 2013-01-24 | Fujitsu Limited | Information processing technique for determining traveling route |
US9117372B2 (en) | 2012-03-08 | 2015-08-25 | Lawo Informationssysteme Gmbh | Transportation system arrival and departure time calculation and display system |
GB2501075A (en) * | 2012-04-10 | 2013-10-16 | Hin Wai Lui | Dynamically demand-responsive transport |
US20140058772A1 (en) * | 2012-08-22 | 2014-02-27 | James Moskos | System and method for conducting an electronic auction for available cargo capacity on a cargo carrier |
US10395209B2 (en) * | 2012-08-22 | 2019-08-27 | Two Rings Media Inc. | Automatic capacity detection systems and methods |
US10878367B2 (en) * | 2012-08-22 | 2020-12-29 | Two Rings Media Inc. | Automatic capacity detection systems and methods |
US20150228192A1 (en) * | 2012-09-20 | 2015-08-13 | Toyota Jidosha Kabushiki Kaisha | On-demand vehicle operation management device, on-demand vehicle operation management method, and on-demand vehicle operation management system |
US9836974B2 (en) * | 2012-09-20 | 2017-12-05 | Toyota Jidosha Kabushiki Kaisha | On-demand vehicle operation management device, on-demand vehicle operation management method, and on-demand vehicle operation management system |
US20140172738A1 (en) * | 2012-12-14 | 2014-06-19 | Thomas Schulz | Knowledge based initialization for routing optimization |
US20140188999A1 (en) * | 2013-01-02 | 2014-07-03 | Dmeautomotive | Methods, systems, and devices for communication between a vehicle service center and a mobile computing device |
US20140288982A1 (en) * | 2013-03-19 | 2014-09-25 | Xerox Corporation | Temporal series alignment for matching real trips to schedules in public transportation systems |
US10891690B1 (en) * | 2014-11-07 | 2021-01-12 | Intuit Inc. | Method and system for providing an interactive spending analysis display |
US20210097604A1 (en) * | 2014-11-07 | 2021-04-01 | Intuit Inc. | Method and system for providing an interactive spending analysis display |
US11810186B2 (en) * | 2014-11-07 | 2023-11-07 | Intuit Inc. | Method and system for providing an interactive spending analysis display |
US9773282B1 (en) * | 2015-04-29 | 2017-09-26 | Intuit Inc. | Method and system for providing a spending analysis display dynamically adapted to defined categories of day and/or date |
US20170236091A1 (en) * | 2016-02-11 | 2017-08-17 | Wal-Mart Stores, Inc. | Delivery estimates with improved accuracy |
GB2564617A (en) * | 2016-03-23 | 2019-01-16 | Ford Global Tech Llc | System and method for providing a mobility network |
WO2017164922A1 (en) * | 2016-03-23 | 2017-09-28 | Ford Global Tecnologies, Llc | System and method for providing a mobility network |
US10008121B2 (en) | 2016-05-02 | 2018-06-26 | Conduent Business Services, Llc | Method and system for managing a dispatch of vehicles |
CN107256627A (en) * | 2017-03-21 | 2017-10-17 | 江建国 | Automatic driving vehicle dispatching method, apparatus and system |
US11720103B2 (en) | 2017-07-21 | 2023-08-08 | Beijing Tusen Zhitu Technology Co., Ltd. | System, method and associated apparatus for autonomous vehicle transportation |
EP4206850A1 (en) * | 2017-07-21 | 2023-07-05 | Beijing Tusen Zhitu Technology Co., Ltd. | System, method and associated apparatus for autonomous vehicle transportation |
US20220146268A1 (en) * | 2018-06-21 | 2022-05-12 | Toyota Jidosha Kabushiki Kaisha | Information processing apparatus and information processing method |
US10988081B2 (en) * | 2018-10-22 | 2021-04-27 | Toyota Jidosha Kabushiki Kaisha | Vehicle notification system |
WO2020130931A1 (en) * | 2018-12-18 | 2020-06-25 | Grabtaxi Holdings Pte. Ltd. | Communications server apparatus and method for operation thereof |
CN110147924A (en) * | 2019-04-08 | 2019-08-20 | 浙江华云信息科技有限公司 | A kind of intelligent dispatching system and its dispatching method of car for public affairs |
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WO2020224920A1 (en) * | 2019-05-08 | 2020-11-12 | Daimler Ag | Method for assessing a freight order by means of a freight order assessment system, and freight order assessment system |
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US20210365885A1 (en) * | 2020-05-20 | 2021-11-25 | Ebay Inc. | Concurrent queuing and delivery in an online marketplace |
US20230162100A1 (en) * | 2021-01-28 | 2023-05-25 | Nissan Motor Co., Ltd. | Combined passenger and freight transport system, vehicle dispatch device therein, and vehicle dispatch method therein |
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