WO2020119578A1 - Traitement des commandes de service de covoiturage - Google Patents

Traitement des commandes de service de covoiturage Download PDF

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Publication number
WO2020119578A1
WO2020119578A1 PCT/CN2019/123389 CN2019123389W WO2020119578A1 WO 2020119578 A1 WO2020119578 A1 WO 2020119578A1 CN 2019123389 W CN2019123389 W CN 2019123389W WO 2020119578 A1 WO2020119578 A1 WO 2020119578A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
dispatched
lane
information
pick
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PCT/CN2019/123389
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English (en)
Chinese (zh)
Inventor
朱禄杭
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北京三快在线科技有限公司
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Publication of WO2020119578A1 publication Critical patent/WO2020119578A1/fr

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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
    • 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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

Definitions

  • This application relates to the field of Internet technology, in particular to the processing of taxi orders.
  • the online car-hailing platform will center on the passenger's location or pick-up point, request the location of all online car-hailing within the preset range, and directly Calculate the pick-up time of each driver based on the location of the online car, in order to dispatch the order to the driver with the shortest pick-up time.
  • the present application provides a method, device, equipment, and storage medium for processing taxi orders.
  • a method for processing a taxi order including: determining at least one vehicle to be dispatched within a preset range centered on a passenger's departure place, the passenger departure place including the passenger's taxi ride The place of departure in the order;
  • a target vehicle matching the taxi order is determined.
  • a device for processing taxi orders including:
  • a vehicle to be dispatched determination module configured to determine at least one vehicle to be scheduled within a preset range centered on the passenger's departure place, the passenger departure place including the departure place in the passenger's taxi order;
  • the pick-up information determination module is used to determine the lane information of the vehicle to be dispatched that meets the lane detection condition when the vehicle to be dispatched meets the lane detection condition, and calculate to meet the lane detection condition based on the lane information The pick-up information of the vehicle to be dispatched;
  • the target vehicle determination module is configured to determine a target vehicle matching the taxi order based on the pick-up information.
  • a device for processing taxi orders which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, when the processor executes the program Implement any of the above methods for processing taxi orders.
  • a computer-readable storage medium stores a computer program, and the computer program is used to execute any of the above-mentioned methods for processing taxi orders.
  • this application determines at least one vehicle to be dispatched within a preset range centered on the passenger's departure place, and when the vehicle to be dispatched meets the lane detection condition, the lane information of the vehicle to be dispatched is determined, And calculate the pick-up information of the vehicle to be dispatched based on the lane information, and then determine the target vehicle matching the order based on the pick-up information, because the vehicles that meet the vehicle detection conditions are considered in the calculation of the pick-up information
  • the lane information can improve the rationality and accuracy of calculating the pick-up information of the target vehicle matching the order, can effectively avoid the occurrence of U-turn orders and detour orders, save time for drivers and passengers, and improve the experience of both drivers and passengers.
  • FIG. 1 is a flowchart of a method for processing taxi orders shown in an exemplary embodiment of the present application
  • 2A is a flow chart showing how to determine lane information of a vehicle to be dispatched, according to an exemplary embodiment of the present application
  • 2B is a schematic diagram of an application scenario of an interface for outputting a request for driver to input lane information, shown in an exemplary embodiment of the present application;
  • FIG. 3 is a flowchart showing how to determine lane information of a vehicle to be dispatched according to another exemplary embodiment of the present application
  • FIG. 4 is a flowchart of how to determine lane information of a vehicle to be scheduled according to another exemplary embodiment of the present application
  • FIG. 5 is a flowchart showing how to calculate the pick-up information of the vehicle to be dispatched based on lane information, according to an exemplary embodiment of the present application
  • FIG. 6 is a structural diagram of an apparatus for processing taxi orders shown in an exemplary embodiment of the present application.
  • FIG. 7 is a structural diagram of an apparatus for processing taxi orders shown in another exemplary embodiment of the present application.
  • FIG. 8 is a structural diagram of an apparatus for processing taxi orders shown in an exemplary embodiment of the present application.
  • first, second, third, etc. may be used in this application to describe various information, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as second information, and similarly, the second information may also be referred to as first information.
  • word “if” as used herein may be interpreted as "when” or “when” or “in response to a determination”.
  • FIG. 1 is a flowchart of a method for processing taxi orders shown in an exemplary embodiment of the present application; this embodiment can be applied to the service end of a ride-hailing platform (including a server or a server machine composed of multiple servers) Or, it can be applied to terminal devices (such as smart phones, tablet computers, and desktop notebooks) with taxi order processing functions.
  • a ride-hailing platform including a server or a server machine composed of multiple servers
  • terminal devices such as smart phones, tablet computers, and desktop notebooks
  • step S101 at least one vehicle to be dispatched within a preset range centered on a passenger departure place is determined, the passenger departure place including the departure place in the passenger's taxi order.
  • the passenger when a passenger calls the online car reservation, the passenger will send a taxi order to the server, and the taxi order may include the departure place of the passenger.
  • the above taxi order may also contain other relevant information, such as the time and destination of the car, which is not limited in this embodiment.
  • the passenger departure point may be a pick-up location recommended by the server according to the passenger's location (for example, the passenger's location automatically recognized by the passenger's terminal device), or a manually entered passenger's pick-up location, or This is the passenger's positioning point, which is not limited in this embodiment.
  • the service terminal when the service terminal receives a taxi order sent by a passenger through a smart phone or other smart terminal, the passenger's departure place in the order can be determined, and then at least one within a preset range centered on the passenger's departure place can be determined Vehicles to be dispatched.
  • step S102 if the vehicle to be scheduled meets the lane detection condition, the lane information of the vehicle to be scheduled is determined, and the pick-up information of the vehicle to be scheduled is calculated based on the lane information.
  • the above lane detection conditions may be set by the developer according to actual needs and business experience and other information, for example, it may be set to "at an intersection with multiple lanes".
  • the current road of the vehicle to be scheduled can be determined based on the pre-acquired road network data and the position of the vehicle to be scheduled, and then it can be determined whether the vehicle to be scheduled is at a multi-lane intersection; if so, then The subsequent step of determining the lane information of the vehicle may be performed.
  • the lane detection condition may further include "in a driving state where the driving speed is lower than a preset speed threshold".
  • the driving speed of the vehicle to be scheduled can be determined by the real-time location information of the vehicle to be scheduled uploaded by the driver terminal (that is, the taxi platform client installed on the driver's terminal device), and then the driving speed can be compared with Comparing the preset speed threshold, if it is less than the speed threshold, it can be determined that the vehicle is in a driving state where the driving speed is lower than the preset speed threshold (including a state where the driving speed is 0, that is, stationary), and then the subsequent determination of the vehicle can be performed Steps for lane information.
  • setting the lane detection condition to "in a driving state where the driving speed is lower than the preset speed threshold" can further improve the accuracy of determining the lane information of the lane to be scheduled, and thus can improve the subsequent determination of the vehicle to be scheduled based on the lane information The accuracy of the pick-up information.
  • the current lane information of the first vehicle to be scheduled may be determined, and then the first vehicle may be calculated based on the determined lane information Pick-up information of vehicles to be dispatched.
  • the above-mentioned pick-up information may include pick-up time, pick-up distance, or other pick-up parameters used to evaluate the pick-up cost, etc., which is not limited in this embodiment.
  • the current lane information of the first to-be-dispatched vehicle may be determined based on the location of the first to-be-dispatched vehicle uploaded by the driver, or the driver may be directly inquired of the current lane information of the first to-be-dispatched vehicle.
  • the above lane information may be a left-turn lane, a straight lane or a right-turn lane, etc., which is not limited in this embodiment.
  • the pick-up information of the second vehicle to be scheduled may be calculated based on an algorithm in the prior art. In an embodiment, the pick-up information of the second vehicle to be dispatched may be calculated according to information such as the distance between the second vehicle to be dispatched and the passenger's departure place.
  • the above-mentioned pick-up information may include pick-up time, pick-up distance, or pick-up parameters determined based on the pick-up time and pick-up distance to evaluate the pick-up cost, etc., which is not limited in this embodiment .
  • step S103 a target vehicle matching the order is determined based on the pick-up information.
  • the target vehicle that matches the order may be determined based on the pick-up information.
  • the value of the pick-up information can be sorted, and then the value of the pick-up information can be minimized
  • the vehicle to be scheduled is determined as the target vehicle matching the above order.
  • the pick-up information is the pick-up time
  • the length of the pick-up time can be sorted, and then the The vehicle to be dispatched with the shortest pick-up time is determined as the target vehicle matching the order.
  • the lane information of the vehicle to be dispatched is determined, And calculate the pick-up information of the vehicle to be dispatched based on the lane information, and then determine the target vehicle matching the order based on the pick-up information, because the vehicles that meet the vehicle detection conditions are considered in the calculation of the pick-up information
  • the lane information can improve the rationality and accuracy of calculating the pick-up information of the target vehicle matching the order, can effectively avoid the occurrence of U-turn orders and detour orders, save time for drivers and passengers, and improve the experience of both drivers and passengers.
  • FIG. 2A is a flowchart showing how to determine the lane information of a vehicle to be scheduled according to an exemplary embodiment of the present application; this embodiment is based on the above-mentioned embodiment, and takes the example of how to determine the lane information of a vehicle to be scheduled as an example. .
  • determining the lane information of the vehicle to be dispatched in the above step S102 includes the following steps S201-S202:
  • step S201 an interface that requests the driver to input lane information is output.
  • step S202 the lane information of the vehicle to be dispatched input by the driver on the interface is received.
  • the server may output an interface requesting the driver to input lane information to the driver, and the server may receive the driver's input in the interface. Lane information for dispatch vehicles.
  • FIG. 2B is a schematic diagram of an application scenario of an interface for requesting a driver to input lane information shown in an exemplary embodiment of the present application.
  • the interface output by the server to the driver requesting the driver to input lane information includes the request information of “confirming the current lane”, as well as the options of “turn left”, “straight” and “right turn” and the corresponding Arrow logo.
  • the driver sees the requested information, he can click on the corresponding option, such as "turn left”, and then the server can determine that the current lane information of the vehicle to be dispatched is "left turn lane".
  • the lane information of the vehicle to be dispatched can be directly determined to improve the determination
  • the accuracy of the lane information of the vehicles to be scheduled provides an accurate basis for the subsequent calculation of the pick-up information based on the lane information of the vehicles to be scheduled.
  • FIG. 3 is a flow chart showing how to determine the lane information of a vehicle to be scheduled according to another exemplary embodiment of the present application; this embodiment is based on the above-mentioned embodiment, taking how to determine the lane information of a vehicle to be scheduled as an example for illustration Instructions.
  • determining the lane information of the vehicle to be dispatched in the above step S102 includes the following steps S301-S302:
  • step S301 the vehicle to be scheduled is positioned to obtain the position and positioning accuracy of the vehicle to be scheduled.
  • the vehicle to be scheduled may be positioned using a preset positioning method to obtain the position and positioning accuracy of the vehicle to be scheduled.
  • the above-mentioned preset positioning method can be set by the developer according to actual business needs, such as one of GPS, base station, Bluetooth, WiFi, and ibeacon, or a combination of multiple methods. This embodiment There is no restriction on this.
  • step S302 if the positioning accuracy is higher than or equal to a preset accuracy threshold, the lane information of the vehicle to be scheduled is queried from a preset map library according to the location.
  • the lane information of the vehicle to be scheduled may be queried from a preset map library according to the location.
  • the above-mentioned preset precision threshold may be set by the developer according to actual business needs, for example, set to 1m, 2m, or 5m, etc., which is not limited in this embodiment.
  • the server may query a preset map gallery based on the GPS coordinate point to learn from the map gallery Query the current lane information of the vehicle to be dispatched.
  • the above-mentioned preset map gallery can be selected by the developer according to actual needs, for example, a map gallery on the server side or a third-party map gallery can be selected, which is not limited in this embodiment.
  • the lane information when the positioning accuracy is lower than the preset accuracy threshold, the lane information may be determined by referring to the embodiment shown in FIG. 2A, and details are not described herein again.
  • this embodiment obtains the position and positioning accuracy of the vehicle to be dispatched by positioning the vehicle to be dispatched, and when the positioning accuracy is higher than or equal to a preset accuracy threshold, according to the position Querying the lane information of the vehicle to be scheduled from the preset map gallery can accurately determine the lane information of the vehicle to be scheduled, and provide an accurate basis for subsequent calculation of the pick-up information based on the lane information of the vehicle to be scheduled.
  • FIG. 4 is a flowchart of how to determine the lane information of the vehicle to be scheduled shown in another exemplary embodiment of the present application; this embodiment is based on the above-mentioned embodiment, taking how to determine the lane information of the vehicle to be scheduled as an example. Instructions. As shown in FIG. 4, determining the lane information of the vehicle to be dispatched in the above step S102 includes the following steps S401-S403:
  • step S401 a road surface image of the road on which the vehicle to be scheduled is located is obtained.
  • the Pavement image of the road where the dispatch vehicle is located when it is determined that the vehicle to be scheduled meets the above-mentioned lane detection condition, that is, it is determined that the vehicle to be scheduled is currently at a multi-lane intersection and/or in a driving state where the driving speed is lower than a preset speed threshold, the Pavement image of the road where the dispatch vehicle is located.
  • the to-be-dispatched device may be obtained through a driving recorder installed on the vehicle to be dispatched, or the above-mentioned pre-installed traffic camera on the road where the vehicle to be dispatched is currently located, or other hardware equipment installed on the vehicle to be dispatched.
  • the road surface image of the road where the vehicle is located is not limited in this embodiment.
  • step S402 a guide lane line is recognized from the road surface image.
  • the guide lane line may be recognized from the road surface image based on a preset image recognition method.
  • the above-mentioned guide lane line may include an existing lane marking for guiding directions, which may be used to indicate that the vehicle should drive in the indicated direction at the intersection entry section. Under normal circumstances, such markings will be drawn at traffic intersections with large traffic flow and many lanes, the purpose of which is to clarify the driving direction and reduce traffic pressure.
  • step S403 the lane information of the vehicle to be dispatched is determined based on the guide lane line.
  • the lane information of the vehicle to be dispatched may be determined based on the guide lane line.
  • a correspondence relationship between a plurality of guide lane lines and lane information may be constructed in advance, and then, after the guide lane lines are identified from the road surface image of the vehicle to be scheduled, the waiting lane line may be determined based on the pre-built correspondence Lane information for dispatch vehicles.
  • the The lane information of the dispatch vehicle is the left-turn lane.
  • the lane information of the vehicle to be dispatched is determined based on the guide lane line , Can accurately determine the lane information of the vehicle to be scheduled, and provide an accurate basis for the subsequent calculation of the pick-up information based on the lane information of the vehicle to be scheduled.
  • FIG. 5 is a flowchart showing how to calculate the pick-up information of the vehicle to be scheduled based on the lane information according to an exemplary embodiment of the present application; this embodiment is based on the above-described embodiment and how to calculate the waiting information based on the lane information
  • the pick-up information of the dispatch vehicle is taken as an example to illustrate.
  • calculating the pick-up information of the vehicle to be dispatched based on the lane information in the above step S102 may include the following steps S501-S502:
  • step S501 a pick-up navigation route of the vehicle to be dispatched is determined based on the lane information and the departure place.
  • the pick-up navigation route of the vehicle to be dispatched may be determined based on the lane information and the departure place of the passenger.
  • the pick-up navigation route of the vehicle to be dispatched is determined to be the pick-up navigation route from the left-turn lane where the vehicle to be dispatched is currently located to the passenger departure place.
  • the above method for determining the pick-up navigation route of the vehicle to be dispatched based on the lane information and the departure place of the passenger can be selected by the developer according to actual business needs, and the present route planning method is not limited in this embodiment.
  • step S502 the pick-up information of the vehicle to be dispatched is calculated based on the pick-up navigation route.
  • the pick-up information of the vehicle to be dispatched may be calculated based on the pick-up navigation route.
  • the pick-up time or pick-up distance of the vehicle to be dispatched may be calculated based on the pick-up navigation route, the driving speed of the vehicle to be dispatched, the road condition information of the road section passing by the pick-up navigation route, and the like.
  • this embodiment determines the pick-up navigation route of the vehicle to be dispatched based on the lane information and the departure point, and calculates the pick-up information of the vehicle to be dispatched based on the pick-up navigation route.
  • the accurate determination of the pick-up information of each vehicle to be dispatched can be achieved, which can lay a foundation for the subsequent determination of the target vehicle matching the order based on the pick-up information of the vehicle to be dispatched.
  • the present application also provides corresponding device embodiments.
  • FIG. 6 is a structural diagram of an apparatus for processing taxi orders shown in an exemplary embodiment of the present application; as shown in FIG. 6, the apparatus includes: a vehicle to be scheduled determination module 110, a pickup information determination module 120, and a target vehicle determination Module 130, in which:
  • the vehicle to be dispatched determination module 110 is used to determine at least one vehicle to be dispatched within a preset range centered on the passenger's departure place, where the passenger's departure place includes the departure place in the passenger's taxi order;
  • the pick-up information determination module 120 is used to determine the lane information of the vehicle to be dispatched when the vehicle to be dispatched meets the lane detection condition, and calculate the pick-up information of the vehicle to be dispatched based on the lane information;
  • the target vehicle determination module 130 is configured to determine a target vehicle matching the order based on the pick-up information.
  • the lane information of the vehicle to be dispatched is determined, And calculate the pick-up information of the vehicle to be dispatched based on the lane information, and then determine the target vehicle matching the order based on the pick-up information, because the vehicles that meet the vehicle detection conditions are considered in the calculation of the pick-up information
  • the lane information can improve the rationality and accuracy of calculating the pick-up information of the target vehicle matching the order, can effectively avoid the occurrence of U-turn orders and detour orders, save time for drivers and passengers, and improve the experience of both drivers and passengers.
  • FIG. 7 is a structural diagram of an apparatus for processing taxi orders shown in yet another exemplary embodiment of the present application; wherein, the vehicle to be scheduled determination module 210, the pick-up information determination module 220, and the target vehicle determination module 230 are as described in FIG. 6 above.
  • the functions of the to-be-scheduled vehicle determination module 110, the pick-up information determination module 120, and the target vehicle determination module 130 in the illustrated embodiment are the same, and will not be repeated here.
  • the lane detection conditions may include intersections at multiple lanes.
  • the lane detection condition may further include a driving state where the driving speed is lower than a preset speed threshold.
  • the pick-up information determination module 220 may include: a first information determination unit 221;
  • the first information determining unit 221 is used to:
  • the lane information of the vehicle to be scheduled is queried from a preset map library according to the position.
  • the pick-up information determination module 220 may include: a second information determination unit 222;
  • the second information determining unit 222 is used to:
  • the lane information of the vehicle to be dispatched is determined based on the guide lane line.
  • the pick-up information determination module 220 may include: a third information determination unit 223;
  • the third information determining unit 223 is used to:
  • the pick-up information determination module 220 may further include:
  • the pick-up navigation route determination unit 224 is configured to determine the pick-up navigation route of the vehicle to be dispatched based on the lane information and the departure place;
  • the pick-up information determination unit 225 is configured to calculate the pick-up information of the vehicle to be dispatched based on the pick-up navigation route.
  • the embodiment of the apparatus for processing taxi orders of the present invention can be applied to network equipment.
  • the device embodiments may be implemented by software, or by hardware or a combination of hardware and software.
  • Taking software implementation as an example as a logical device, it is formed by the processor of the device where it reads the corresponding computer program instructions in the non-volatile memory into the memory, and the computer program is used to execute the above The methods for processing taxi orders provided by the embodiments shown in FIG. 1 to FIG. 5.
  • FIG. 8 it is a hardware structure diagram of a device for processing taxi orders of the present invention.
  • the The device can usually also include other hardware, such as a forwarding chip that is responsible for processing messages, etc.
  • the device may also be a distributed device, which may include multiple interface cards, so as to perform packet processing at the hardware level Expand.
  • the present application also provides a computer-readable storage medium that stores a computer program, and the computer program is used to execute the method for processing a taxi order provided by the embodiments shown in FIGS. 1 to 5 above.
  • the relevant parts can be referred to the description of the method embodiments.
  • the device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located One place, or it can be distributed to multiple network elements. Part or all of the modules may be selected according to actual needs to achieve the objectives of the solution of the present application. Those of ordinary skill in the art can understand and implement without paying creative labor.

Abstract

L'invention porte sur un procédé de traitement de commande de covoiturage comprenant : au moins une voiture à expédier dans une plage prédéfinie centrée sur un point de départ d'un passager est déterminée (s101), le point de départ du passager comprenant un point de départ dans un ordre d'appel du passager; si la voiture à envoyer satisfait une condition de détection de voie, alors des informations de voie de la voiture devant être expédiées satisfaisant la condition de détection de voie sont déterminées, et sur la base des informations de voie, des informations de conduite de capture sont calculées pour la voiture à envoyer satisfaisant la condition de détection de voie (s102) ; et sur la base des informations de conduite de capture, une voiture cible correspondant à l'ordre est déterminée (s103).
PCT/CN2019/123389 2018-12-14 2019-12-05 Traitement des commandes de service de covoiturage WO2020119578A1 (fr)

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