WO2021012244A1 - Systèmes et procédés de répartition de commandes - Google Patents

Systèmes et procédés de répartition de commandes Download PDF

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Publication number
WO2021012244A1
WO2021012244A1 PCT/CN2019/097610 CN2019097610W WO2021012244A1 WO 2021012244 A1 WO2021012244 A1 WO 2021012244A1 CN 2019097610 W CN2019097610 W CN 2019097610W WO 2021012244 A1 WO2021012244 A1 WO 2021012244A1
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WIPO (PCT)
Prior art keywords
order
primary
related information
information
primary order
Prior art date
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PCT/CN2019/097610
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English (en)
Inventor
Min Li
Gesi MENG
Yong Liu
Yu Wang
Original Assignee
Beijing Didi Infinity Technology And Development Co., Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by Beijing Didi Infinity Technology And Development Co., Ltd. filed Critical Beijing Didi Infinity Technology And Development Co., Ltd.
Priority to CN201980003345.3A priority Critical patent/CN111954891B/zh
Priority to PCT/CN2019/097610 priority patent/WO2021012244A1/fr
Publication of WO2021012244A1 publication Critical patent/WO2021012244A1/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
    • 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
    • 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
    • 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
    • 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
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
    • G07F17/0042—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects
    • G07F17/0057—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs

Definitions

  • the present disclosure generally relates to systems and methods for online to offline service, and more particularly, relates to systems and methods for order dispatching for online to offline services.
  • Online to offline services utilizing Internet technology has become increasingly popular.
  • Conventional online to offline services may be provided separately.
  • an online car-hailing service is merely provided for picking up passengers, and a take-away service merely is provided for delivering food.
  • some online to offline services or non-profit services e.g., an internal operation in a company
  • a shared automobile may be in an idle state when it is driven to a charge station by a dispatcher. Therefore, it is desirable to provide systems and methods for dispatching orders in a more efficient way.
  • a method for order dispatching may be provided.
  • the method may be implemented on a computing device having at least one processor and at least one computer-readable storage medium for dispatching orders.
  • the method may include obtaining order related information of a primary order and one or more candidate orders.
  • the order related information may include route information and time information.
  • the method may include determining at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the method may also include generating a combined order based on the order related information of the primary order and the at least one secondary order.
  • the primary order may include a transportation order.
  • the one or more candidate orders may include a service dispatching order, a merchandise dispatching order, or a passenger dispatching order.
  • the one or more candidate orders may include a take-out service order, a chauffeuring service order, an express service order, or a service provider dispatching order.
  • the method may include determining a space-time matching degree between the primary order and each of the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • the method may also include designating at least one candidate order satisfying a preset condition associated with the space-time matching degree as the at least one secondary order attached to the primary order.
  • the primary order may include a first primary order and a second primary order.
  • Designating the at least one candidate order satisfying the preset condition associated with the space-time matching degree as the at least one secondary order attached to the primary order the method may include designating a first candidate order as a secondary order attached to the first primary order.
  • the space-time matching degree between the first primary order and the first candidate order may be not smaller than a first threshold.
  • the method may also include designating a second candidate order as a secondary order attached to the second primary order.
  • the space-time matching degree between the second primary order and the second candidate order may be not smaller than a second threshold, and the first threshold may be smaller than the second threshold.
  • the first primary order may include a shared car dispatching order
  • the second primary order may include an online car-hailing service order
  • determining the at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders may include determining the at least one secondary order attached to the primary order by processing the order related information of the primary order and the one or more candidate orders according to one or more regulations.
  • determining the at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders may include determining the at least one secondary order attached to the primary order by processing the order related information of the primary order and the one or more candidate orders using a machine learning model.
  • the method may include determining a route of the primary order.
  • the method may include determining at least two stages of the primary order based on the route of the primary order. For at least one stage of the at least two stages, the method may include determining the at least one secondary order attached to the at least one stage of the primary order based on route information and time information of the at least one stage.
  • the method may include obtaining environment information.
  • the method may further include determining the at least one secondary order attached to the primary order based on order related information of the primary order and the one or more candidate orders and the environment information.
  • the environment information may include at least one of weather information or traffic information.
  • the method may include transmitting the combined order to a user terminal.
  • the method may further include determining a route of the combined order based on the order related information of orders in the combined order.
  • the route of the combined order may include start locations and end locations of the orders in the combined order.
  • a method may be implemented on a computing device having at least one processor and at least one computer-readable storage medium for dispatching orders.
  • the method may include obtaining order related information of a primary order.
  • the method may include determining whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the method may include obtaining order related information of one or more candidate orders.
  • the method may also include determining at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the method may further include generating a combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information may include route information and time information.
  • the method may include determining at least one of a route length, a time limitation, or a type of the primary order based on the order related information. The method may also include determining whether to attach the at least one secondary order to the primary order according to at least one of the route length, the time limitation, or the type of the primary order.
  • determining whether to attach the at least one secondary order to the primary order according to at least one of the route length, the time limitation, or the type of the primary order may include determining whether the at least one of the route length, the time limitation, or the type of the primary order satisfies preset conditions.
  • the method may include determining whether to attach the at least one secondary order to the primary order according to the determination on whether the at least one of the route length, the time limitation, or the type of the primary order satisfies preset conditions.
  • determining whether to attach the at least one secondary order to the primary order according to at least one of the route length, the time limitation, or the type of the primary order may include processing the at least one of the route length, the time limitation, or the type of the primary order using a machine learning model. The method may also include determining whether to attach the at least one secondary order to the primary order according to the processing result of the at least one of the route length, the time limitation, or the type of the primary order.
  • a method may be implemented on a computing device having at least one processor and at least one computer-readable storage medium for dispatching orders.
  • the method may include obtaining a combined order.
  • the combined order may include a primary order and at least one secondary order.
  • the method may also include displaying order related information of each order in the combined order.
  • the order related information may at least include an order type, route information, and time information.
  • the route information may include a start location and an end location.
  • the time information may include at least one of a departure time, an arrival time, or a travel duration.
  • the method may include displaying a route of the combined order. Start locations, end locations, and time information of the orders in the combined order may be displayed on the route of the combined order.
  • a method may be implemented on a computing device having at least one processor and at least one computer-readable storage medium for dispatching orders.
  • the method may include obtaining order related information of a primary order.
  • the order related information may include route information and time information.
  • the method may include determining whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the method may include transmitting the primary order and the at least one secondary order to at least one user terminal.
  • the at least one secondary order may be selected from the one or more candidate orders.
  • a method may be implemented on a computing device having at least one processor and at least one computer-readable storage medium for dispatching orders.
  • the method may include obtaining order related information of a primary order and at least one secondary order.
  • the order related information may include an order type, route information, and time information.
  • the method may include determining whether to accept the at least one secondary order according to instructions input by a user.
  • a system may be provided.
  • the system may include at least one computer-readable storage medium including a set of instructions, and at least one processor in communication with the at least one computer-readable storage medium.
  • the at least one processor may be directed to cause the system to obtain order related information of a primary order and one or more candidate orders.
  • the order related information may include route information and time information.
  • the at least one processor may be directed to cause the system to determine at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the at least one processor may be directed to cause the system to generate a combined order based on the order related information of the primary order and the at least one secondary order.
  • the at least one processor may be directed to cause the system to determine a space-time matching degree between the primary order and each of the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • the at least one processor may be directed to cause the system to designate at least one candidate order satisfying a preset condition associated with the space-time matching degree as the at least one secondary order attached to the primary order.
  • the primary order may include a first primary order and a second primary order.
  • the at least one processor may be directed to cause the system to designate a first candidate order as a secondary order attached to the first primary order.
  • the space-time matching degree between the first primary order and the first candidate order may be not smaller than a first threshold.
  • the at least one processor may be directed to cause the system to designate a second candidate order as a secondary order attached to the second primary order.
  • the space-time matching degree between the second primary order and the second candidate order may be not smaller than a second threshold, and the first threshold may be smaller than the second threshold.
  • the at least one processor may be directed to cause the system to determine the at least one secondary order attached to the primary order by processing the order related information of the primary order and the one or more candidate orders according to one or more regulations.
  • the at least one processor may be directed to cause the system to determine the at least one secondary order attached to the primary order by processing the order related information of the primary order and the one or more candidate orders using a machine learning model.
  • the at least one processor may be directed to cause the system to determine a route of the primary order.
  • the at least one processor may be directed to cause the system to determine at least two stages of the primary order based on the route of the primary order. For at least one stage of the at least two stages, the at least one processor may be directed to cause the system to determine the at least one secondary order attached to the at least one stage of the primary order based on route information and time information of the at least one stage.
  • the at least one processor may be directed to cause the system to obtain environment information.
  • the at least one processor may be further directed to cause the system to determine the at least one secondary order attached to the primary order based on order related information of the primary order and the one or more candidate orders and the environment information.
  • the at least one processor may be further directed to cause the system to transmit the combined order to a user terminal.
  • the at least one processor may be directed to cause the system to determine a route of the combined order based on the order related information of orders in the combined order.
  • the route of the combined order may include start locations and end locations of the orders in the combined order.
  • a system may be provided.
  • the system may include at least one computer-readable storage medium including a set of instructions, and at least one processor in communication with the at least one computer-readable storage medium.
  • the at least one processor may be directed to cause the system to obtain order related information of a primary order.
  • the at least one processor may be directed to cause the system to determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the at least one processor may be directed to cause the system to obtain order related information of one or more candidate orders.
  • the at least one processor may be directed to cause the system to determine at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the at least one processor may be directed to cause the system to generate a combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information may include route information and time information.
  • the at least one processor may be directed to cause the system to determine at least one of a route length, a time limitation, or a type of the primary order based on the order related information.
  • the at least one processor may be directed to cause the system to determine whether to attach the at least one secondary order to the primary order according to at least one of the route length, the time limitation, or the type of the primary order.
  • the at least one processor may be directed to cause the system to determine whether the at least one of the route length, the time limitation, or the type of the primary order satisfies preset conditions.
  • the at least one processor may be directed to cause the system to determine whether to attach the at least one secondary order to the primary order according to the determination on whether the at least one of the route length, the time limitation, or the type of the primary order satisfies preset conditions.
  • the at least one processor may be directed to cause the system to process the at least one of the route length, the time limitation, or the type of the primary order using a machine learning model.
  • the at least one processor may be directed to cause the system to determine whether to attach the at least one secondary order to the primary order according to the processing result of the at least one of the route length, the time limitation, or the type of the primary order.
  • a system may be provided.
  • the system may include at least one computer-readable storage medium including a set of instructions, and at least one processor in communication with the at least one computer-readable storage medium.
  • the at least one processor may be directed to cause the system to obtain a combined order.
  • the combined order may include a primary order and at least one secondary order.
  • the at least one processor may be directed to cause the system to display order related information of each order in the combined order.
  • the order related information may at least include an order type, route information, and time information.
  • the at least one processor may be further directed to cause the system to display a route of the combined order. Start locations, end locations, and time information of the orders in the combined order may be displayed on the route of the combined order.
  • a system may be provided.
  • the system may include at least one computer-readable storage medium including a set of instructions, and at least one processor in communication with the at least one computer-readable storage medium.
  • the at least one processor may be directed to cause the system to obtain order related information of a primary order.
  • the order related information may include route information and time information.
  • the at least one processor may be directed to cause the system to determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the at least one processor may be directed to cause the system to transmit the primary order and the at least one secondary order to at least one user terminal.
  • the at least one secondary order may be selected from the one or more candidate orders.
  • the at least one processor may be directed to cause the system to determine at least one of a route length, a time limitation, or a type of the primary order based on the order related information.
  • the at least one processor may be directed to cause the system to determine whether to attach the at least one secondary order to the primary order according to at least one of the route length, the time limitation, or the type of the primary order.
  • the at least one processor may be directed to cause the system to obtain order related information of the one or more candidate orders.
  • the order related information may include route information and time information.
  • the at least one processor may be directed to cause the system to determine the at least one secondary order attached to the primary order based on the order related information of the primary order and the one or more candidate orders.
  • the at least one processor may be directed to cause the system to transmit the primary order and the at least one secondary order to the at least one user terminal.
  • a system may be provided.
  • the system may include at least one computer-readable storage medium including a set of instructions, and at least one processor in communication with the at least one computer-readable storage medium.
  • the at least one processor may be directed to cause the system to obtain order related information of a primary order and at least one secondary order.
  • the order related information may include an order type, route information, and time information.
  • the at least one processor may be directed to cause the system to determine whether to accept the at least one secondary order according to instructions input by a user.
  • a non-transitory computer readable medium may be provided.
  • the non-transitory computer readable medium may include at least one set of instructions.
  • the at least one set of instructions When the at least one set of instructions are executed by at least one processor of a computing device, the at least one set of instructions may direct the computing device to perform a method.
  • the method may include obtaining order related information of a primary order and one or more candidate orders.
  • the order related information may include route information and time information.
  • the method may include determining at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the method may include generating a combined order based on the order related information of the primary order and the at least one secondary order.
  • a non-transitory computer readable medium may be provided.
  • the non-transitory computer readable medium may include at least one set of instructions.
  • the at least one set of instructions When the at least one set of instructions are executed by at least one processor of a computing device, the at least one set of instructions may direct the computing device to perform a method.
  • the method may include obtaining order related information of a primary order.
  • the method may include determining whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the method may include obtaining order related information of one or more candidate orders.
  • the method may include determining at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the method may include generating a combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information may include route information and time information
  • a non-transitory computer readable medium may be provided.
  • the non-transitory computer readable medium may include at least one set of instructions.
  • the at least one set of instructions When executed by at least one processor of a computing device, the at least one set of instructions may direct the computing device to perform a method.
  • the method may include obtaining a combined order.
  • the combined order may include a primary order and at least one secondary order.
  • the method may also include displaying order related information of each order in the combined order.
  • the order related information may at least include an order type, route information, and time information.
  • a non-transitory computer readable medium may be provided.
  • the non-transitory computer readable medium may include at least one set of instructions.
  • the at least one set of instructions When the at least one set of instructions are executed by at least one processor of a computing device, the at least one set of instructions may direct the computing device to perform a method.
  • the method may include obtaining order related information of a primary order.
  • the order related information may include route information and time information.
  • the method may determining whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the method may include transmitting the primary order and the at least one secondary order to at least one user terminal.
  • the at least one secondary order may be selected from the one or more candidate orders.
  • a non-transitory computer readable medium may be provided.
  • the non-transitory computer readable medium may include at least one set of instructions.
  • the at least one set of instructions When executed by at least one processor of a computing device, the at least one set of instructions may direct the computing device to perform a method.
  • the method may include obtaining order related information of a primary order and at least one secondary order.
  • the order related information may include an order type, route information, and time information.
  • the method may also include determining whether to accept the at least one secondary order according to instructions input by a user.
  • FIG. 1 is a schematic diagram illustrating an exemplary order dispatching system according to some embodiments of the present disclosure
  • FIG. 2 is a schematic diagram illustrating exemplary hardware and/or software components of an exemplary computing device according to some embodiments of the present disclosure
  • FIG. 3 is a schematic diagram illustrating exemplary hardware and/or software components of an exemplary mobile device according to some embodiments of the present disclosure
  • FIG. 4 is a block diagram illustrating an exemplary processing engine according to some embodiments of the present disclosure
  • FIG. 5 is a flowchart illustrating an exemplary process for dispatching orders according to some embodiments of the present disclosure
  • FIG. 6 is a schematic diagram illustrating exemplary stages associated with a primary order regarding a transportation service according to some embodiments of the present disclosure
  • FIG. 7 is a flowchart illustrating an exemplary process for determining at least one secondary order according to some embodiments of the present disclosure
  • FIG. 8 is a flowchart illustrating an exemplary process for displaying orders according to some embodiments of the present disclosure
  • FIG. 9 is a flowchart illustrating an exemplary process for displaying orders according to some embodiments of the present disclosure.
  • FIG. 10 is a schematic diagram illustrating an exemplary user interface of a combined order according to some embodiments of the present disclosure.
  • FIG. 11 is a flowchart illustrating an exemplary process for dispatching orders according to some embodiments of the present disclosure.
  • FIG. 12 is a flowchart illustrating an exemplary process for dispatching orders according to some embodiments of the present disclosure.
  • the flowcharts used in the present disclosure illustrate operations that systems implemented according to some embodiments of the present disclosure. It is to be expressly understood, that the operations of the flowchart may be implemented not in order. Conversely, the operations may be implemented in inverted order, or simultaneously. Moreover, one or more other operations may be added to the flowcharts. One or more operations may be removed from the flowcharts.
  • systems and methods disclosed in the present disclosure are described primarily regarding online to offline transportation service, it should also be understood that this is only one exemplary embodiment.
  • the systems and methods of the present disclosure may be applied to any other kind of on-demand service.
  • the systems and methods of the present disclosure may be applied to transportation systems of different environments including land (e.g. roads or off-road) , water (e.g. river, lake, or ocean) , air, aerospace, or the like, or any combination thereof.
  • the vehicle of the transportation systems may include a taxi, a private car, a hitch, a bus, a train, a bullet train, a high-speed rail, a subway, a boat, a vessel, an aircraft, a spaceship, a hot-air balloon, a driverless vehicle, or the like, or any combination thereof.
  • the transportation systems may also include any transportation system for management and/or distribution, for example, a system for sending and/or receiving an express.
  • the application of the systems and methods of the present disclosure may include a mobile device (e.g. smart phone or pad) application, a webpage, a plug-in of a browser, a client terminal, a custom system, an internal analysis system, an artificial intelligence robot, or the like, or any combination thereof.
  • passenger, ” “requester, ” “requestor, ” “service requester, ” “service requestor, ” and “customer” in the present disclosure are used interchangeably to refer to an individual, an entity or a tool that may request or order a service.
  • driver, ” “provider, ” “service provider, ” and “supplier” in the present disclosure are used interchangeably to refer to an individual, an entity or a tool that may provide a service or facilitate the providing of the service.
  • user in the present disclosure is used to refer to an individual, an entity or a tool that may request a service, order a service, provide a service, or facilitate the providing of the service.
  • terms “requester” and “requester terminal” may be used interchangeably
  • terms “provider” and “provider terminal” may be used interchangeably.
  • the terms “request, ” “service, ” “service request, ” and “order” in the present disclosure are used interchangeably to refer to a request that may be initiated by a passenger, a requester, a service requester, a customer, a driver, a provider, a service provider, a supplier, or the like, or any combination thereof.
  • the service request may be accepted by any one of a passenger, a requester, a service requester, a customer, a driver, a provider, a service provider, or a supplier.
  • the service request is accepted by a driver, a provider, a service provider, or a supplier.
  • the service request may be chargeable or free.
  • the positioning technology used in the present disclosure may be based on a global positioning system (GPS) , a global navigation satellite system (GLONASS) , a compass navigation system (COMPASS) , a Galileo positioning system, a quasi-zenith satellite system (QZSS) , a wireless fidelity (WiFi) positioning technology, or the like, or any combination thereof.
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • COMPASS compass navigation system
  • Galileo positioning system Galileo positioning system
  • QZSS quasi-zenith satellite system
  • WiFi wireless fidelity positioning technology
  • An aspect of the present disclosure relates to systems and methods for order dispatching for online to offline services.
  • the system may obtain order related information of a primary order and one or more candidate orders.
  • the order related information includes route information and time information.
  • the system may determine at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the system may generate a combined order based on the order related information of the primary order and the at least one secondary order. In this case, orders may be dispatched in a more efficient way.
  • online to offline transportation service is a new form of service rooted only in post-Internet era. It provides technical solutions to users and service providers that could raise only in post-Internet era.
  • pre-Internet era when a passenger hails a taxi on the street, the taxi request and acceptance occur only between the passenger and one taxi driver that sees the passenger. If the passenger hails a taxi through a telephone call, the service request and acceptance may occur only between the passenger and one service provider (e.g., one taxi company or agent) .
  • service provider e.g., one taxi company or agent
  • Online taxi allows a user of the service to automatically distribute a service request in real-time to a vast number of individual service providers (e.g., taxi drivers) away from the user.
  • the online to offline transportation systems may provide a much more efficient transaction platform for the users and the service providers that may never meet in a traditional pre-Internet transportation service system.
  • FIG. 1 is a schematic diagram illustrating an exemplary order dispatching system 100 according to some embodiments of the present disclosure.
  • the order dispatching system 100 may be an online transportation service platform for transportation services such as car hailing services, chauffeur services, vehicle delivery services, carpooling services, bus services, driver hiring services, and shuttle services, etc.
  • the order dispatching system 100 may include a server 110, a network 120, a passenger device 130, a driver device 140, a vehicle 150, and a storage 160.
  • the order dispatching system 100 may provide a plurality of services.
  • the service may include a transportation service, such as carpool service, a vanpool service, a taxi hailing service, a shared vehicle dispatching service, and a chauffeur service.
  • the service may include a service dispatching order, a merchandise dispatching order, or a passenger dispatching order.
  • the service may be provided with supplementary information recommended to perform the service.
  • the service may be any online service, such as booking a meal, shopping, express service, a service provider dispatching service, a household service, a laundry service, or the like, or any combination thereof.
  • the server 110 may be a computer server.
  • the server 110 may communicate with the passenger device 130 and/or the driver device 140 to provide various functionality of an order dispatching service.
  • the server 110 may be a single server, or a server group.
  • the server group may be a centralized server group connected to the network 120 via an access point, or a distributed server group connected to the network 120 via one or more access points, respectively.
  • the server 110 may be locally connected to the network 120 or in remote connection with the network 120.
  • the server 110 may access information and/or data stored in the passenger device 130, the driver device 140, and/or the storage 160 via the network 120.
  • the storage 160 may serve as backend storage of the server 110.
  • the server 110 may be implemented on a cloud platform.
  • the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, or the like, or any combination thereof.
  • the server 110 may include a processing engine 112.
  • the processing engine 112 may process information and/or data related to performing one or more functions described in the present disclosure. For example, the processing engine 112 may obtain an order (e.g., a primary order, one or more candidate orders) from the passenger device 130. For another example, the processing engine 112 may determine at least one secondary order attached to the primary order. As another example, the processing engine 112 may generate a combined order based on order related information of the primary order and the at least one secondary order. In some embodiments, the processing engine 112 may include one or more processing units (e.g., single-core processing engine (s) or multi-core processing engine (s) ) .
  • processing units e.g., single-core processing engine (s) or multi-core processing engine (s)
  • the processing engine 112 may include a central processing unit (CPU) , an application-specific integrated circuit (ASIC) , an application-specific instruction-set processor (ASIP) , a graphics processing unit (GPU) , a physics processing unit (PPU) , a digital signal processor (DSP) , a field programmable gate array (FPGA) , a programmable logic device (PLD) , a controller, a microcontroller unit, a reduced instruction-set computer (RISC) , a microprocessor, or the like, or any combination thereof.
  • CPU central processing unit
  • ASIC application-specific integrated circuit
  • ASIP application-specific instruction-set processor
  • GPU graphics processing unit
  • PPU physics processing unit
  • DSP digital signal processor
  • FPGA field programmable gate array
  • PLD programmable logic device
  • controller a microcontroller unit, a reduced instruction-set computer (RISC) , a microprocessor, or the like, or any combination thereof.
  • RISC reduced
  • the network 120 may facilitate exchange of information and/or data.
  • one or more components in the order dispatching system 100 e.g., the server 110, the passenger device 130, the driver device 140, the vehicle 150, the storage 160
  • the server 110 may access and/or obtain a plurality of historical orders from the storage 160 via the network 120.
  • the server 110 may transmit a start location of a service provider 1to the passenger device 130.
  • the network 120 may be any type of wired or wireless network, or a combination thereof.
  • the network 120 may include a cable network, a wireline network, an optical fiber network, a telecommunications network, an intranet, an Internet, a local area network (LAN) , a wide area network (WAN) , a wireless local area network (WLAN) , a metropolitan area network (MAN) , a wide area network (WAN) , a public telephone switched network (PSTN) , a Bluetooth network, a ZigBee network, a near field communication (NFC) network, or the like, or any combination thereof.
  • the network 120 may include one or more network access points.
  • the network 120 may include wired or wireless network access points such as base stations and/or internet exchange points 120-1, 120-2, ..., through which one or more components of the order dispatching system 100 may be connected to the network 120 to exchange data and/or information.
  • a passenger or a user may be a holder of the passenger device 130.
  • the holder of the passenger device 130 may be someone other than the passenger.
  • a holder A of the passenger device 130 may use the passenger device 130 to send a service request for a passenger B, and/or receive a service confirmation and/or information or instructions from the server 110.
  • a driver may be a user of the driver device 140.
  • the user of the driver device 140 may be someone other than the driver.
  • a user C of the driver device 140 may use the driver device 140 to receive a service request for a driver D, and/or information or instructions from the server 110.
  • a driver may be assigned to use one of the driver devices 140 and/or one of the vehicles 150 for at least a certain period of time, for example, a day, a week, a month, or a year etc. In some other embodiments, a driver may be assigned to use one of the driver devices 140 and/or one of the vehicles 150 on a random basis. For example, when a driver is available to provide an online to offline service, he/she may be assigned to use a driver terminal that receives the earliest request and a vehicle that is recommended to perform the type of online to offline service.
  • driver device may be associated with one or more drivers (e.g., a night-shift driver, a day-shift driver, or a driver pool by a random shifting) .
  • the passenger device 130 may include a mobile device 130-1, a tablet computer 130-2, a laptop computer 130-3, a built-in device in a vehicle 130-4, or the like, or any combination thereof.
  • the mobile device 130-1 may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof.
  • the smart home device may include a smart lighting device, a control device of an intelligent electrical apparatus, a smart monitoring device, a smart television, a smart video camera, an interphone, or the like, or any combination thereof.
  • the wearable device may include a smart bracelet, a smart footgear, a smart glass, a smart helmet, a smart watch, smart clothing, a smart backpack, a smart accessory, or the like, or any combination thereof.
  • the smart mobile device may include a smartphone, a personal digital assistance (PDA) , a gaming device, a navigation device, a point of sale (POS) device, or the like, or any combination thereof.
  • the virtual reality device and/or the augmented reality device may include a virtual reality helmet, a virtual reality glass, a virtual reality patch, an augmented reality helmet, an augmented reality glass, an augmented reality patch, or the like, or any combination thereof.
  • the virtual reality device and/or the augmented reality device may include a Google Glass TM , an Oculus Rift TM , a Hololens TM , a Gear VR TM , etc.
  • a built-in device in the vehicle 130-4 may include a built-in computer, an onboard built-in television, a built-in tablet, etc.
  • the passenger device 130 may include a signal transmitter and a signal receiver configured to communicate with the positioning device 170 for locating the position of the passenger and/or the passenger device 130.
  • the driver device 140 may include a plurality of driver devices 140-1, 140-2, ..., 140-n. In some embodiments, the driver device 140 may be similar to, or the same device as the passenger device 130. In some embodiments, the driver device 140 may be customized to implement the online transportation service. In some embodiments, the driver device 140 and the passenger device 130 may be configured with a signal transmitter and a signal receiver to receive position information of the driver device 140 and the passenger device 130 from the positioning device 170. In some embodiments, the passenger device 130 and/or the driver device 140 may communicate with other positioning device to determine the position of the passenger, the passenger device 130, the driver, and/or the driver device 140. In some embodiments, the passenger device 130 and/or the driver device 140 may periodically send the positioning information to the server 110.
  • the driver device 140 may also periodically send the availability status to the server 110.
  • the availability status may indicate whether a vehicle 150 associated with the driver device 140 is available to transport a passenger.
  • the passenger device 130 may send the positioning information to the server 110 every thirty minutes.
  • the driver device 140 may send the availability status to the server every thirty minutes, and/or upon an online to offline service is completed.
  • the passenger device 130 may send the positioning information to the server 110 each time the user logs into the mobile application associated with the order dispatching service.
  • the driver device 140 may correspond to one or more vehicles 150.
  • the vehicle 150 may carry the passenger and travel to the destination.
  • the vehicle 150 may include a plurality of vehicles 150-1, 150-2, ..., 150-n.
  • One of the plurality of vehicles may correspond to one or more order types.
  • the order types may include a transportation order (e.g., a carpool service, a vanpool service, a taxi hailing service, a shared vehicle dispatching service, and a chauffeur service) , a service dispatching order, a merchandise dispatching order, or a passenger dispatching order etc.
  • the storage 160 may store data and/or instructions.
  • the storage 160 may store data obtained from the passenger device 130 and/or the driver device 140.
  • the storage 160 may store log information associated with the passenger device 130.
  • the storage 160 may store data and/or instructions that the server 110 may execute to provide the online to offline services described in the present disclosure.
  • the storage 160 may store order related information, one or more regulations, a preliminary model, a trained model, etc.
  • the storage 160 may include a mass storage, are movable storage, a volatile read-and-write memory, a read-only memory (ROM) , or the like, or any combination thereof.
  • Exemplary mass storage may include a magnetic disk, an optical disk, a solid-state drives, etc.
  • Exemplary removable storage may include a flash drive, a floppy disk, an optical disk, a memory card, a zip disk, a magnetic tape, etc.
  • Exemplary volatile read-and-write memory may include a random access memory (RAM) .
  • Exemplary RAM may include a dynamic RAM (DRAM) , a double date rate synchronous dynamic RAM (DDR SDRAM) , a static RAM (SRAM) , a thyristor RAM (T-RAM) , and a zero-capacitor RAM (Z-RAM) , etc.
  • DRAM dynamic RAM
  • DDR SDRAM double date rate synchronous dynamic RAM
  • SRAM static RAM
  • T-RAM thyristor RAM
  • Z-RAM zero-capacitor RAM
  • Exemplary ROM may include a mask ROM (MROM) , a programmable ROM (PROM) , an erasable programmable ROM (EPROM) , an electrically erasable programmable ROM (EEPROM) , a compact disk ROM (CD-ROM) , and a digital versatile disk ROM, etc.
  • the storage 160 may be implemented on a cloud platform.
  • the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, or the like, or any combination thereof.
  • the positioning device 170 may determine information associated with an object, for example, one or more of the passenger devices 130, the driver device 140, the vehicle 150, etc. For example, the positioning device 170 may determine a current time and a location of a passenger or a driver through the passenger device 130 and/or the driver device 140.
  • the positioning device 170 may be a global positioning system (GPS) , a global navigation satellite system (GLONASS) , a compass navigation system (COMPASS) , a BeiDou navigation satellite system, a Galileo positioning system, a quasi-zenith satellite system (QZSS) , etc.
  • the information may include a location, an elevation, a velocity, or an acceleration of the object, and/or a current time.
  • the location may be in the form of coordinates, such as, a latitude coordinate and a longitude coordinate, etc.
  • the positioning device 170 may include one or more satellites, for example, a satellite 170-1, a satellite 170-2, and a satellite 170-3.
  • the satellites 170-1 through 170-3 may determine the information mentioned above independently or jointly.
  • the positioning device 170 may send the information mentioned above to the passenger device 130, the driver device 140, or the vehicle 150 via the network 120.
  • one or more components in the order dispatching system 100 may access the data or instructions stored in the storage 160 via the network 120.
  • the storage 160 may be directly connected to the server 110 as a backend storage.
  • one or more components in the order dispatching system 100 may have permissions to access the storage 160.
  • one or more components in the order dispatching system 100 may read and/or modify the information related to the passenger, the driver, and/or the vehicle when one or more conditions are met.
  • the server 110 may read and/or modify one or more passengers’ user features after an online to offline service order is completed.
  • information exchanging between one or more components of the order dispatching system 100 may be initiated by way of launching the mobile application of the online to offline service on a terminal device to request a service.
  • the object of the service request may be any product.
  • the product may include food, medicine, commodity, chemical product, electrical appliance, clothing, car, housing, luxury, or the like, or any combination thereof.
  • the product may include a service product, a financial product, a knowledge product, an internet product, or the like, or any combination thereof.
  • the internet product may include an individual host product, a web product, a mobile internet product, a commercial host product, an embedded product, or the like, or any combination thereof.
  • the mobile internet product may be used in a software of a mobile terminal, a program, a system, or the like, or any combination thereof.
  • the mobile terminal may include a tablet computer, a laptop computer, a mobile phone, a personal digital assistance (PDA) , a smart watch, a point of sale (POS) device, an onboard computer, an onboard television, a wearable device, or the like, or any combination thereof.
  • PDA personal digital assistance
  • POS point of sale
  • the product may be any software and/or application used in the computer or mobile phone.
  • the software and/or application may relate to socializing, shopping, transporting, entertainment, learning, investment, or the like, or any combination thereof.
  • the software and/or application related to transporting may include a traveling software and/or application, a vehicle scheduling software and/or application, a mapping software and/or application, etc.
  • the vehicle may include a horse, a carriage, a rickshaw (e.g., a wheelbarrow, a bike, a tricycle, etc. ) , a car (e.g., a taxi, a bus, a private car, etc. ) , a train, a subway, a vessel, an aircraft (e.g., an airplane, a helicopter, a space shuttle, a rocket, a hot-air balloon, etc. ) , or the like, or any combination thereof.
  • a traveling software and/or application the vehicle may include a horse, a carriage, a rickshaw (e.g., a wheelbarrow, a bike, a tricycle, etc. ) , a car (e.g., a taxi, a bus, a private car, etc. )
  • the element may perform through electrical signals and/or electromagnetic signals.
  • the passenger device 130 may operate logic circuits in its processor to process such task.
  • a processor of the passenger device 130 may generate electrical signals encoding the order.
  • the processor of the passenger device 130 may then send the electrical signals to an output port. If the passenger device 130 communicates with the server 110 via a wired network, the output port may be physically connected to a cable, which further transmit the electrical signal to an input port of the server 110.
  • the output port of the terminal 130 may be one or more antennas, which convert the electrical signals to electromagnetic signals.
  • the driver device 140 may process a task through operation of logic circuits in its processor, and receive an instruction and/or service order from the server 110 via electrical signals or electromagnet signals.
  • an electronic device such as the passenger device 130, the driver device 140, and/or the server 110, when a processor thereof processes an instruction, sends out an instruction, and/or performs an action, the instruction and/or action is conducted via electrical signals.
  • the processor when the processor retrieves data (e.g., a plurality of historical orders) from a storage medium (e.g., the storage 160) , it may send out electrical signals to a read device of the storage medium, which may read structured data in the storage medium.
  • the structured data may be transmitted to the processor in the form of electrical signals via a bus of the electronic device.
  • an electrical signal may refer to one electrical signal, a series of electrical signals, and/or a plurality of discrete electrical signals.
  • FIG. 2 is a schematic diagram illustrating exemplary hardware and/or software components of an exemplary computing device according to some embodiments of the present disclosure.
  • the server 110, the passenger device 130, and/or the driver device 140 may be implemented on the computing device 200.
  • the processing engine 112 may be implemented on the computing device 200 and configured to perform functions of the processing engine 112 disclosed in this disclosure.
  • the computing device 200 may be used to implement any component of the order dispatching system 100 as described herein.
  • the processing engine 112 may be implemented on the computing device 200, via its hardware, software program, firmware, or a combination thereof.
  • only one such computer is shown, for convenience, the computer functions relating to the online to offline service as described herein may be implemented in a distributed fashion on a number of similar platforms to distribute the processing load.
  • the computing device 200 may include COM ports 250 connected to and from a network connected thereto to facilitate data communications.
  • the computing device 200 may also include a processor 220, in the form of one or more processors (e.g., logic circuits) , for executing program instructions.
  • the processor 220 may include interface circuits and processing circuits therein.
  • the interface circuits may be configured to receive electronic signals from a bus 210, wherein the electronic signals encode structured data and/or instructions for the processing circuits to process.
  • the processing circuits may conduct logic calculations, and then determine a conclusion, a result, and/or an instruction encoded as electronic signals. Then the interface circuits may send out the electronic signals from the processing circuits via the bus 210.
  • the computing device 200 may further include program storage and data storage of different forms including, for example, a disk 270, a read only memory (ROM) 230, or a random access memory (RAM) 240, for storing various data files to be processed and/or transmitted by the computing device 200.
  • the computing device 200 may also include program instructions stored in the ROM 230, RAM 240, and/or other type of non-transitory storage medium to be executed by the processor 220.
  • the methods and/or processes of the present disclosure may be implemented as the program instructions.
  • the computing device 200 may also include an I/O component 260, supporting input/output between the computer and other components.
  • the computing device 200 may also receive programming and data via network communications.
  • step A and step B may also be performed by two different CPUs and/or processors jointly or separately in the computing device 200 (e.g., the first processor executes step A and the second processor executes step B, or the first and second processors jointly execute steps A and B) .
  • FIG. 3 is a schematic diagram illustrating exemplary hardware and/or software components of an exemplary mobile device according to some embodiments of the present disclosure.
  • the passenger device 130 or the driver device 140 may be implemented on the mobile device 300.
  • the mobile device 300 may include a communication platform 310, a display 320, a graphic processing unit (GPU) 330, a central processing unit (CPU) 340, an I/O 350, a memory 360, a mobile operating system (OS) 370, and a storage 390.
  • any other suitable component including but not limited to a system bus or a controller (not shown) , may also be included in the mobile device 300.
  • the mobile operating system 370 e.g., iOS TM , Android TM , Windows Phone TM
  • the applications 380 may include a browser or any other suitable mobile apps for receiving and rendering information relating to online to offline services or other information from the order dispatching system 100.
  • User interactions with the information stream may be achieved via the I/O 350 and provided to the processing engine 112 and/or other components of the order dispatching system 100 via the network 120.
  • FIG. 4 is a block diagram illustrating an exemplary processing engine according to some embodiments of the present disclosure.
  • the processing engine 112 may include an obtaining module 410, a determining module 420, a generating module 430, a transmitting module 440, and a display module 450.
  • the obtaining module 410 may be configured to obtain order related information of a primary order and one or more candidate orders.
  • the obtaining module 410 may obtain route information (e.g., a start location, a destination, a route length, etc. ) , time information (e.g., a start time, an ETA, a time limitation, etc. ) , types of orders, and environment information associated with the primary order and the one or more candidate orders.
  • the obtaining module 410 may obtain the order related information of the primary order and the one or more candidate orders from a terminal device (e.g., the passenger device 130, the driver device 140) , a storage (e.g., the storage 160) via the network 130.
  • the obtaining module 410 may obtain the order related information based on a user input (e.g., a keyboard input, a voice input, an image input) , positioning information, or the like, or any combination thereof.
  • the determining module 420 may be configured to determine at least one secondary order attached to the primary order based on the order related information of the primary order and the one or more candidate orders obtained by the obtaining module 410. In some embodiments, the determining module 420 may determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order. For example, the determining module 420 may determine whether to attach at least one secondary order to the primary order based on a route length, a time limitation, a type of the primary order, or the like, or any combination thereof. In some embodiments, the determining module 420 may determine the at least one secondary order according to one or more regulations or algorithms, a machine learning model, or the like, or any combination thereof. For example, the determining module 420 may designate at least one candidate order satisfying a preset condition associated with the space-time matching degree as the at least one secondary order attached to the primary order.
  • the generating module 430 may be configured to generate a combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information of the combined order may include route information, time information, multiple stages of the combined order cycle, environment information (e.g., traffic information, weather information) , or the like, or any combination thereof.
  • the generating module 430 may be configured to adjust the primary order and/or the at least one secondary order based on the related order information of primary order, the at least one secondary order, and/or the combined order.
  • the transmitting module 440 may be configured to transmit order related information of the primary order, the one or more candidate orders, and the at least one secondary order to terminal device (s) .
  • the transmitting module 440 may transmit the order related information of the primary order, the one or more candidate order, and the at least one secondary order to terminal device (s) (e.g., the passenger device 130, the driver device 140) to instruct the user of the terminal device to make determination.
  • the transmitting module 440 may transmit order related information to the processing engine 112, which may be further processed by the processing engine 112.
  • the display module 450 may be configured to display order (s) and order related information of the orders.
  • the display module may display the primary order, the order related information of the primary order, the one or more candidate orders, the order related information of the one or more candidate orders, the at least one secondary order, the order related information of the at least one secondary order, the combined order, the related information of the combined order, etc.
  • the display module 450 may display the order (s) and the related information of the orders on a display (e.g., the display 320) .
  • the display module may display the order (s) and the related information of the orders in a form of a text description, a voice description, an audio description, a graphical illustration, etc.
  • the modules in the processing engine 112 may be connected to or communicated with each other via a wired connection or a wireless connection.
  • the wired connection may include a metal cable, an optical cable, a hybrid cable, or the like, or any combination thereof.
  • the wireless connection may include a Local Area Network (LAN) , a Wide Area Network (WAN) , a Bluetooth, a ZigBee, a Near Field Communication (NFC) , or the like, or any combination thereof.
  • LAN Local Area Network
  • WAN Wide Area Network
  • NFC Near Field Communication
  • Two or more of the modules may be combined into a single module, and any one of the modules may be divided into two or more units.
  • the processing engine 112 may include a storage module (not shown) used to store information and/or data (e.g., the order related information) associated with the primary order, the one or more candidate orders, and/or the at least one secondary order.
  • FIG. 5 is a flowchart illustrating an exemplary process 500 for dispatching orders according to some embodiments of the present disclosure.
  • the process 500 may be implemented as a set of instructions (e.g., an application) stored in the storage ROM 230 or RAM 240.
  • the processor 220 and/or the modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the processor 220 and/or the modules may be configured to perform the process 500.
  • the operations of the illustrated process presented below are intended to be illustrative. In some embodiments, the process 500 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 5 and described below is not intended to be limiting.
  • the processing engine 112 e.g., the obtaining module 410) (e.g., the interface circuits of the processor 220) may obtain order related information of a primary order and one or more candidate orders.
  • the primary order may include an order dispatched to a service provider (e.g., a user of the driver device 140) by the order dispatching system 100.
  • the service provider may provide a service associated with the primary order.
  • the primary order may include a transportation order.
  • the transportation order may include but not limited to an online car-hailing service order, a vanpool service order, a shuttle service order, a bus service order, a shared vehicle (e.g., a shared bicycle, a shared automobile, etc. ) dispatching order, etc.
  • the order related information of the primary order may include first route information (e.g., a first start location, a first destination, at least one route between the first start location and the first destination) , first time information (e.g., a first start time, a first ETA, a first travel duration time) , a type of the primary order, or the like, or any combination thereof.
  • the processing engine 112 may obtain the first start location and/or the first destination based on a user input (e.g., a keyboard input, a voice input, an image input) .
  • the passenger device 130 may obtain the first start location and/or the first destination via an online retrieval, a voice recognition, or an image recognition, and transmit the first start location and/or the first destination to the processing engine 112.
  • the processing engine 112 may obtain the first start location and/or the first destination of the primary order based on positioning information associated with the passenger device 130 via, for example, GPS technology.
  • the processing engine 112 may determine at least one route between the first location and the first destination based on a route planning technique and/or a route planning algorithm.
  • the primary order may relate to non-profit services.
  • the non-profit services may include internal tasks (e.g., in a company) , a staff’s job duty, or the like.
  • the primary order may include dispatching a shared automobile to a charge station.
  • the one or more candidate orders may be orders related to online to offline services which are currently available for selection.
  • the order dispatching system 100 may select, according to a certain criterion, at least one order from the one or more candidate orders.
  • the selected order (s) may be referred to as secondary order.
  • the secondary order may be attached to the primary order to constitute a combined order.
  • the one or more candidate orders may include a service dispatching order, a merchandise dispatching order, or a passenger dispatching order.
  • the one or more candidate orders may include a take-out service order, a chauffeuring service order, an express service order, a service provider dispatching order, or the like, or any combination thereof.
  • the order related information of the one or more candidate orders may include second types of the one or more candidate services, second route information (e.g., a second start location, a second destination, second passing locations, etc. ) , second time information (e.g., a second start time, an acceptable waiting time, a second estimated time of arrival (ETA) , a second travel duration time, etc. ) , numbers of the one or more candidate orders, or the like, or any combination thereof.
  • second route information e.g., a second start location, a second destination, second passing locations, etc.
  • second time information e.g., a second start time, an acceptable waiting time, a second estimated time of arrival (ETA) , a second travel duration time, etc.
  • the order related information of the primary order and the one or more candidate orders may also include environment information.
  • the environment information may include weather information, traffic information, etc.
  • the environment information may be obtained from a database, a weather information platform (e.g., a weather forecast website) , and/or any other device that can provide weather information.
  • the processing engine 112 may obtain the traffic information from a database, a map or navigation service (e.g., a Google Map TM , a Tencent Map TM , a Baidu Map TM ) , and/or any other device and/or service that can provide traffic information.
  • the weather information may include real-time weather information, weather forecast information.
  • the traffic information may include traffic congestion information, traffic control information, traffic barrier information, etc.
  • a primary order and a candidate order may be orders of a same type.
  • both the primary order and the candidate order may be express service orders.
  • the primary order and the candidate order may be orders of different types.
  • the primary order may be a shared automobile dispatching order, and the candidate order may be an express order.
  • the processing engine 112 may dispatch the primary order to a service provider. For example, the processing engine 112 may rank a plurality of service providers based on a predetermined rule (e.g., distances from current locations of the plurality of service providers to the start location of the primary order, an ETA from the current locations of the service providers to the first start location, etc. ) so as to determine a first ranking result, and dispatch the primary order to a top service provider among the ranked service providers in the first ranking result.
  • the service provider of the primary order may travel from his/her current location to the first start location of the primary order to provide the service associated with the primary order. After the service is fulfilled, the service provider may return to a designated location from the first destination.
  • the service provider On a journey from the first destination to the designated location, the service provider may be in an idle state if the service provider does not receive a new order.
  • one or more candidate orders may be determined so as to be combined with the primary order, which may increase the income of the service provider as well as improve utilization rate of transportation resources.
  • the service provider of the primary service may be the service provider for at least one secondary order.
  • the service provider of the primary service may be assigned to delivery service provider (s) for the at least one secondary order.
  • the primary order may be a shared vehicle dispatching order, and the at least one secondary order may include an express service order, a housekeeping worker dispatching order, a driver hiring order, etc.
  • a time period also referred to as an order cycle
  • the processing engine 112 may combine the primary order and the at least one secondary order in at least one stage of the service duration of the primary order. More detailed description about the stage of the primary order may be found elsewhere in the present disclosure, for example, FIG. 6 and the descriptions thereof.
  • the processing engine 112 e.g., the determining module 420
  • the interface circuits of the processor 220 may determine at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the at least one secondary order may refer to at least one order selected from the one or more candidate orders.
  • the at least one secondary order may be attached to the primary order to generate a combined order.
  • the processing engine 112 may determine the at least one secondary order attached to the primary order according to one or more regulations or algorithms.
  • the processing engine 112 may determine a plurality of route similarity values between the first route associated with the primary order and second routes associated with the one or more candidate orders. In some embodiments, the plurality of route similarity values may be determined based on the order related information of the primary order and the one or more candidate orders. The route similarity values may represent an overlap degree of two routes. The processing engine 112 may rank the plurality of route similarity values, and generate a second ranking result. Further, the processing engine 112 may determine the at least one secondary order based on the second ranking result. For example, the processing engine 112 may select at least one candidate order (e.g., top three candidate orders according to the second ranking result) as the secondary orders.
  • the processing engine 112 may select at least one candidate order (e.g., top three candidate orders according to the second ranking result) as the secondary orders.
  • the processing engine 112 may determine a plurality of traffic conditions (e.g., an average congestion level, an overall congestion level) corresponding to the one or more candidate orders.
  • the processing engine 112 may rank the one or more candidate orders based at least in part on the plurality of traffic conditions, and determine a third ranking result. Further, the processing engine 112 may determine the at least one secondary order based on the third ranking result.
  • the processing engine 112 may select, from ranked candidate orders in the third ranking result, at least one secondary order associated with the target traffic condition (e.g., the secondary order associated with the top 5 candidate orders corresponding to smallest traffic congestion levels according to the third ranking result) as the at least one secondary order.
  • the processing engine 112 may determine a plurality of time similarity values between the first time information (e.g., the start time, the travel duration time, etc. ) associated with the primary order and the second time information associated with each of the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • the time similarity value may refer to a time overlap degree of two orders.
  • the processing engine 112 may rank the one or more candidate orders according to the time similarity values, and generate a fourth ranking result. Further, the processing engine 112 may determine the at least one secondary order based on the fourth ranking result. For example, the processing engine may select one or more candidate orders (e.g., top five candidate orders according to the fourth ranking result) as the at least one secondary orders.
  • the processing engine 112 may rank the one or more candidate orders based on a combination of the above factors (e.g., the route information, the environment information, the time information, etc. ) . For example, the processing engine 112 may assign a weight coefficient to each of the “route similarity values” , the “environment” , and the “time similarity values” (e.g., assigning 0.3 to the “route similarity values” , 0.3 to the “environment information” , and 0.4 to the “time similarity values” ) .
  • the processing engine 112 may determine a comprehensive parameter (i.e., a combination of the route similarity values, the environment information, and the time similarity values) based on the weight coefficients.
  • the processing engine 112 may rank the one or more candidate orders based on a plurality of comprehensive parameters and determine a fifth ranking result.
  • the processing engine 112 may determine the at least one secondary order based on the fifth ranking result. For example, the processing engine may select one or more candidate orders (e.g., top five candidate orders according to the fifth ranking result) as the at least one secondary orders.
  • the processing engine 112 may determine the at least one secondary order attached to the primary order using a machine learning model.
  • the machine learning model may include but not limited to a regression algorithm model, an instance-based model, a normalized model, a decision tree model, a Bayesian model, a clustering algorithm model, an association rule model, a neural network model, a deep learning model, a reduced dimensional algorithm model, etc.
  • the processing engine 112 may obtain a first preliminary model, and trained the first preliminary model using first historical data to generate a first trained model.
  • the first historical data may include first sample data and corresponding first supervised signal.
  • the first sample data may include the order related information of the primary order and the one or more candidate orders.
  • the first supervised signal may include at least one real secondary order.
  • the order related information of the primary order and the one or more candidate orders may be input into the first preliminary model, and at least one corresponding secondary order may be output.
  • the processing engine 112 may further determine a first difference between at least one predicted secondary order and at least one real secondary order.
  • the at least one real secondary order may be historical order (s) .
  • the first difference may also be determined as a first loss function. According to the first loss function, the processing engine 112 may further adjust the first preliminary model until the first loss function reaches a desired value. After the first loss function reaches the desired value, the adjusted first preliminary model may be designated as the secondary order prediction model.
  • the environment information may be used as an input of the model together with the order related information of the primary order and the one or more candidate orders. More detailed description about determining the at least one secondary order may be found elsewhere in the present disclosure, for example, FIG. 7 and the descriptions thereof.
  • the processing engine 112 e.g., the generating module 430
  • the interface circuits of the processor 220 may generate a combined order based on the order related information of the primary order and the at least one secondary order.
  • the processing engine 112 may generate the combined order and order related information of the combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information of the combined order may include the first time information (e.g., a first start time, a first ETA, a first travel duration time) , the second time information (e.g., a second start time, an acceptable waiting time, a second ETA, a second travel duration time, etc.
  • the processing engine 112 may determine at least one third route associate with the combined order. In some embodiments, the processing engine 112 may determine at least one third route using a route planning technique and/or a route planning algorithm based on order related information associated with each order associated with the combined order. In some embodiments, the first start location, the first destination, the second start location, the second destination may be included regarding the third route.
  • the processing engine 112 may adjust the primary order and/or the at least one secondary order based on the related order information of the primary order, the at least one secondary order, and/or the combined order. For example, the processing engine 112 may adjust the time information of the primary order to provide services associated with the primary order and the at least one secondary order synchronously.
  • the primary may be a shared automobile dispatching order
  • the at least one secondary order may include an express service.
  • the processing engine 112 may generate a combined order including the shared automobile dispatching order and the express service. While fulfilling the automobile dispatching order, a dispatcher may also provide the express service.
  • one or more other optional operations may be added elsewhere in the process 500.
  • the processing engine 112 may store information and/or data (e.g., the order related information) associated with the primary order and the one or more candidate orders in a storage device (e.g., the storage 160) disclosed elsewhere in the present disclosure.
  • a transmitting operation may be added after the operation 505. In the transmitting operation, the processing engine 112 may transmit information associated with the combined order to the service provider or the requestor via the network 120.
  • FIG. 6 is a schematic diagram illustrating exemplary stages associated with a primary order regarding a transportation service according to some embodiments of the present disclosure.
  • a service provider may traverse a plurality of locations.
  • the plurality of locations may also be referred to as feature points.
  • the plurality of locations may include a current location of the service provider (e.g., the user of the driver device 140) 601, a first start location 603, a first destination 605, and a third destination 607.
  • the current location 601 may refer to a location where the service provider may be located before he/she provides a service associated with the primary order.
  • the first start location 603 may refer to a start location of the primary order, where the service associated with the primary order may start to be provided.
  • the first destination 605 may refer to a destination of the primary order, where the service associated with the primary order may be fulfilled.
  • the service provider may accept the primary order, for example, by sending a confirmation to the processing engine 112 through the driver device 140, and drive from the current location 601 to the first start location 603.
  • the service associated with the primary order may be fulfilled after the service provider drives from the first start location 603 to the first destination 605.
  • the service provider may drive to the third destination 607.
  • the third destination 607 may be a predetermined or designated location.
  • the third destination 607 may be a working station, and the service provider may return back to the working station after he/she fulfills the service.
  • the third destination 607 may be a start location of a next primary order.
  • the processing engine 112 may determine at least one route associated with the primary order using a route planning technique and/or a route planning algorithm.
  • the route planning technique and/or the route planning algorithm may include a machine learning technique, an artificial intelligence technique, a template approach technique, an artificial potential field technique, a double direction A-star algorithm, an A-star algorithm, a sample algorithm, or the like, or any combination thereof.
  • An order cycle associated with the primary order may be divided into at least two stages.
  • the at least two stages may be determined according to the feature points (e.g., the first start location, the first destination, the second destination, the third destination, one or more locations that the service provider passes by, etc. ) .
  • the at least two stages may include any two of stage one, stage two, and/or stage three.
  • Stage one may correspond to the duration that the service provider drives from the current location 601 to the first start location 603.
  • Stage two may correspond to the duration that the service provider drives from the first start location 603 to the first destination 605.
  • Stage three may correspond to the duration that the service provider drives from the first destination 605 to the third destination 607.
  • the at least one secondary order may be attached to one or more stages of stage one, stage two, and stage three.
  • the processing engine 112 may attach the at least one secondary order to a portion of one or more stages of stage one, stage two, and stage three.
  • a secondary order may be attached to stage one.
  • a secondary order may be attached to stage three or a portion of stage three.
  • a secondary order may be attached to stage one, and another secondary order may be attached to stage three.
  • the processing engine 112 may attach the at least one secondary order to a portion or all of the one or more stages according to a threshold, one or more regulations, a machine learning model, or the like, or any combination thereof.
  • the service provider of the primary order may also be the service provider of the at least one secondary order attached to the primary order.
  • the service provider of the primary order may fulfill the primary order and the at least one secondary order attached to the primary order.
  • the shared automobile dispatching order may be a primary order.
  • the order herein may refer to a service related order or task, which may be profitable or nonprofit.
  • the processing engine 112 may obtain order related information of the primary order associated with the shared automobile dispatching service.
  • the order related information may include a plurality of feature points (such as a current location of a dispatching staff, a first start location (i.e., the location where the shared automobile is located) , a first destination (i.e., a nearest charge station) , a third destination of the dispatching staff (e.g., an office of the staff) ) , number of shared automobiles under charging in the charge station, at least one route associated with the shared automobile dispatching order, etc.
  • a plurality of feature points such as a current location of a dispatching staff, a first start location (i.e., the location where the shared automobile is located) , a first destination (i.e., a nearest charge station) , a third destination of the dispatching staff (e.g., an office of the staff) ) , number of shared automobiles under charging in the charge station, at least one route associated with the shared automobile dispatching order, etc.
  • the processing engine 112 may determine, based on the order related information of the shared automobile dispatching order, whether to attach one or more candidate orders (e.g., a take-out service order, a chauffeuring service order, an express service order, or a service provider dispatching order) to one or more stages of the shared automobile dispatching order. In some embodiments, the processing engine 112 may perform the determination using one or more regulations, a matching model, or the like, or any combination thereof. If the processing engine 112 determines to attach one or more candidate orders to one or more stage of the shared automobile dispatching order, the processing engine 112 may select at least one secondary order from the one or more candidate orders attached to a portion or all of stages of the shared automobile dispatching order using a matching algorithm, a machine learning model, etc.
  • a candidate orders e.g., a take-out service order, a chauffeuring service order, an express service order, or a service provider dispatching order
  • the processing engine 112 may perform the determination using one or more regulations, a matching model, or the
  • the one or more stages may be determined according to the feature points of the shared automobile dispatching order.
  • the processing engine 112 may adjust the order related information to accommodate the at least one secondary order.
  • the processing engine 112 may adjust a start time of the primary order to synchronize the at least one secondary order. More detailed description about the determination of the at least one secondary order may be found elsewhere in the present disclosure, for example, FIG. 7 and 8, and the descriptions thereof.
  • FIG. 7 is a flowchart illustrating an exemplary process for determining at least one secondary order according to some embodiments of the present disclosure.
  • the process 700 may be implemented as a set of instructions (e.g., an application) stored in the storage ROM 230 or RAM 240.
  • the processor 220 and/or the modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the processor 220 and/or the modules may be configured to perform the process 700.
  • the operations of the illustrated process presented below are intended to be illustrative. In some embodiments, the process 700 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 7 and described below is not intended to be limiting.
  • the processing engine 112 e.g., the obtaining module 410) (e.g., the interface circuits of the processor 220) may obtain order related information of a primary order and one or more candidate orders.
  • the order related information of the primary order and the one or more candidate orders may include types of the orders, route information, time information, or the like, or any combination thereof.
  • the processing engine 112 may obtain the order related information of the primary order and the one or more candidate orders from the user terminal (s) , such as the passenger device 130, the driver device 140, via the network 120.
  • the processing engine 112 may obtain the order related information of the primary order and the one or more candidate orders from a storage (e.g., the storage 160) via the network 120. More detailed descriptions regarding the obtaining of the order related information may be found elsewhere in the present disclosure, for example, FIG. 5 and the descriptions thereof.
  • the processing engine 112 may determine a space-time matching degree between the primary order and each of the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • a space-time matching degree may refer to an overlap degree between the primary order and a candidate order. For example, the greater the space-time matching degree between the primary order and a candidate order is, the greater the overlap between the two orders will be.
  • the space-time matching degree may include a route matching degree, a time matching degree, or a combination of both.
  • the processing engine 112 may determine a plurality of route matching degrees between the route associated with the primary order and a set of second routes associated with the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • the route matching degree may refer to an overlap degree of two routes.
  • the route matching degree may be determined using a matching algorithm, a machine learning model trained to determine a matching degree, etc.
  • the matching algorithm may include a cosine similarity algorithm, a Pearson correlation coefficient algorithm, a Jaccard coefficient algorithm, an adjusted cosine similarity algorithm, or the like, or any combination thereof.
  • the processing engine 112 may rank the route matching degrees in a descending order, and generate a sixth ranking result.
  • the processing engine may determine a plurality of time matching degree between the first time information (e.g., the start time, the travel duration time, the ETA, etc. ) associated with the primary order and the second time information associated with the one or more candidate orders based on the order related information of the primary order and the one or more candidate orders.
  • the time matching degree may refer to a time overlap degree of two orders.
  • the time matching degree may be determined using a matching algorithm, a machine learning model trained to determine a matching degree, etc.
  • the processing engine 112 may rank the time matching degrees in a descending order, and generate a seventh ranking result.
  • the processing engine 112 may determine the space-time matching degree between the primary order and each of the one or more candidate orders based on a combination of the route matching degree and the time matching degree. For example, the processing engine 112 may assign different weighting coefficients to the “route matching degree” and the “time matching degree” (e.g., assigning 0.5 to the “route matching degree, ” 0.5 to the “time matching degree” ) . For each of one or more candidate orders, the processing engine 112 may determine the space-time matching degree based on the weighting coefficients, the route matching degree, and the time matching degree.
  • the processing engine 112 may determine the space-time matching degrees between the primary order and the one or more candidate orders using a machine learning model.
  • the machine learning model may include but not limited to a regression algorithm model, an instance-based model, a normalized model, a decision tree model, a Bayesian model, a clustering algorithm model, an association rule model, a neural network model, a deep learning model, a reduced dimensional algorithm model, etc.
  • the processing engine 112 may obtain a second preliminary model, and trained the second preliminary model using second historical data to generate a second trained model.
  • the second historical data may include second sample data and corresponding second supervised signal.
  • the second sample data may include the order related information of the primary order and the one or more candidate orders.
  • the second supervised signal may include the actual space-time matching degree.
  • the order related information of the primary order and the one or more candidate may be input into the second preliminary model, and a corresponding space-time matching degree may be output.
  • the processing engine 112 may further determine a second difference between the predicted space-time matching degrees and known space-time matching degrees of the historical orders. The second difference may also be determined as a second loss function. According to the second loss function, the processing engine 112 may further adjust the second preliminary model until the second loss function reaches a desired value. After the second loss function reaches the desired value, the adjusted second preliminary model may be designated as the space-time matching degree prediction model.
  • the processing engine 112 may rank the space-time matching degree in a descending order, and generate an eighth ranking result.
  • the environment information may be used as an input of the model together with the order related information to output the space-time matching degree.
  • the processing engine 112 e.g., the determining module 420
  • the interface circuits of the processor 220 may designate at least one candidate order satisfying a preset condition associated with the space-time matching degree as the at least one secondary order attached to the primary order.
  • the processing engine 112 may designate at least one candidate order satisfying a condition associated with the route matching degree as the at least one secondary order attached to the primary order. For example, the processing engine may select at least one candidate order (e.g., top three candidate orders with highest route matching degrees) , according to the sixth ranking result, as the secondary orders. In some embodiments, the processing engine 112 may designate at least one candidate order satisfying a condition associated with the time matching degree as the at least one secondary order attached to the primary order. For example, the processing engine 112 may select at least one candidate order (e.g., top five candidate orders with highest time matching degrees) , according to the seventh ranking result, as the secondary orders.
  • the processing engine 112 may designate at least one candidate order satisfying a condition associated with the space-time matching degree as the at least one secondary order attached to the primary order. For example, the processing engine may select at least one candidate order (e.g., top five candidate orders with highest space-time matching degrees) , according to the eighth ranking result, as the secondary orders.
  • the processing engine may select at least one candidate order (e.g., top five candidate orders with highest space-time matching degrees) , according to the eighth ranking result, as the secondary orders.
  • the primary order may include a first primary order and a second primary order.
  • the first primary order may relate to non-profit services
  • the second primary order may relate to online to offline services.
  • the first primary order includes a shared car dispatching order
  • the second primary order includes an online car-hailing service order.
  • the processing engine 112 may designate a first candidate order as a secondary order attached to the first primary order.
  • the space-time matching degree between the first primary order and the first candidate order may not be smaller than a first threshold.
  • the processing engine 112 may designate a second candidate order as a secondary order attached to the second primary order.
  • the space-time matching degree between the second primary order and the second candidate order may not be smaller than a second threshold.
  • the first threshold and/or the second threshold may be determined by a user, according to default settings of the system 100, etc. In some embodiments, the first threshold may be smaller than the second threshold.
  • one or more optional operations may be added in the process 700.
  • the processing engine 112 may store information and/or data (e.g., the order related information) associated with the primary order and the one or more candidate orders in a storage device (e.g., the storage 160) disclosed in the present disclosure.
  • FIG. 8 is a flowchart illustrating an exemplary process for displaying orders according to some embodiments of the present disclosure.
  • the process 800 may be implemented as a set of instructions (e.g., an application) stored in the storage ROM 230 or RAM 240.
  • the processor 220 and/or modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the processor 220 and/or modules in FIG. 4 may be configured to perform the process 800.
  • the operations of the illustrated process presented below are intended to be illustrative. In some embodiments, the process 800 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG.
  • the process 800 may be performed by server (s) of one or more service platforms associated with the primary order and the one or more candidate orders.
  • the process 800 may be performed by a server of a car-hailing platform, which synchronize service requests relate to take-out services on a food ordering platform in real-time. In this case, take-out food may be delivered in combination with a taxi service without a courier, thereby improving transportation efficiency dramatically.
  • the obtaining module 410 may obtain order related information of a primary order.
  • the primary order may relate to non-profit services.
  • the non-profit services may include internal tasks (e.g., in a company) , a staff’s job duty, or the like.
  • the primary order may include dispatch a shared automobile to a charge station.
  • the order related information may include first start location, a first destination, at least one route between the first start location and the first destination, a first start time, a first ETA, a first travel duration time, a type of the primary order, or the like, or any combination thereof.
  • the first start location may include a current location of a shared car of the first primary order and a pickup location of a passenger of the second primary order.
  • the pickup location may be a current location of the passenger.
  • the first destination may include a current location of a service station of the first primary order and a drop off location of the passenger of the second primary order.
  • the current locations may be acquired using a global positioning system (GPS) , a global navigation satellite system (GLONASS) , a compass navigation system (COMPASS) , a BeiDou navigation satellite system, a Galileo positioning system, a quasi-zenith satellite system (WZSS) , etc.
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • COMPASS compass navigation system
  • BeiDou navigation satellite system a Galileo positioning system
  • WZSS quasi-zenith satellite system
  • the passenger may also send the pickup location and the drop off location to the order dispatching system 100.
  • the first start time may be the time when the primary order is placed, while the first ETA and the first travel duration time may be estimated by the order dispatching system 100.
  • the operations for obtaining order related information of a primary order in 801 may be same as or similar to the operations for obtaining order related information of a primary order in 501.
  • the determining module 420 may determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the secondary order may include a service dispatching order, a merchandise dispatching order, or a passenger dispatching order.
  • the determining module 420 may receive order related information of the primary order including at least one of a route length, a time limitation, or a type of the primary order from the obtaining module 410, and determine whether to attach at least one secondary order to the primary order based on the order related information.
  • the determining module 420 may obtain the type of the primary order, and determine whether to attach at least one secondary order to the primary order based on the type of the primary order.
  • the primary order may be a first primary order (e.g., a shared automobile dispatching order) .
  • a dispatcher may be responsible to dispatch a low-battery shared car and/or a faulty shared car to a service station. If the type of the primary order relates to a faulty shared car, the process 800 may proceed to 811. The dispatcher may dispatch the faulty shared car to the service station directly. Otherwise, the process 800 may proceed to 805.
  • the determining module 420 may obtain the route length of the primary order.
  • the route length may represent a distance between the first start location and the first destination of the primary order.
  • the route length may be a distance between the pickup location to the drop off location in the on-line car-hailing service order or a distance between a current location of the shared car and a location of the service station in the shared car dispatching order.
  • the determining module 420 may determine whether the route length is greater than a preset distance threshold.
  • the preset distance threshold may be 500m, 1 km, 2km, or the like, which may measure a proximity between the start location and the first destination. If the route length is within the preset distance threshold, the primary order may be fulfilled solely, and the process 800 may proceed to 811. Otherwise, the process 800 may proceed to 805.
  • the determining module 420 may obtain the time limitation of the primary order.
  • the time limitation may be a time duration that the primary order or one or more stages of the primary order needs to be fulfilled. For example, for an online car-hailing service order, the time limitation may be the time duration that the driver needs to pick up the passenger.
  • the time limitation may measure an urgency of the primary order.
  • the determining module 420 may compare the time limitation with a preset time threshold.
  • the preset time threshold may be 5 minutes, 10 minutes, 15 minutes, or the like.
  • the process 800 may proceed to 805 when the time limitation is greater than the preset time threshold. Otherwise, the process 800 may proceed to 811.
  • the determining module 420 may combine more than one feature to determine whether to attach at least one secondary order to the primary order. For example, if the route length is greater than the preset distance threshold, and in the meanwhile, the time limitation is greater than the preset time threshold, the process 800 may proceed to 805. Otherwise, the process 800 may proceed to 811.
  • the determining module 420 may also determine whether to attach at least one secondary order to the primary order using a machine learning model.
  • the machine learning model may include but not limited to a regression algorithm model, an instance-based model, a normalized model, a decision tree model, a Bayesian model, a clustering algorithm model, an association rule model, a neural network model, a deep learning model, a reduced dimensional algorithm model, etc.
  • the obtaining module 410 may obtain order related information of one or more candidate orders.
  • the operations for obtaining the order related information of the one or more candidate orders in 805 may be same as or similar to the operations for obtaining order related information of the one or more candidate orders in 501.
  • the determining module 420 may determine at least one secondary order attached to the primary order based at least in part on the order related information of the primary order and the one or more candidate orders.
  • the operations for determining the at least one secondary order in 807 may be same as or similar to the operations for obtaining order related information of the one or more candidate orders in 503.
  • the generating module 430 may generate a combined order based on the order related information of the primary order and the at least one secondary order.
  • the order related information of the combined order may include first time information (e.g., a first start time, a first ETA, a first travel duration time) , the second time information (e.g., a second start time, an acceptable waiting time, a second estimated time of arrival (ETA) , a second travel duration time, etc.
  • the operations for generating the combined order in 809 may be the same as or similar to the operations for generating a combined order in 505.
  • the display module 450 may display the combined order and order related information of orders in the combined order.
  • the display module 450 may display the order related information of the two orders.
  • the display module 450 may display current status including the battery, location of the shared car, and the location of the service station.
  • the display module 450 may also display a current location of the service provider of the express service order and a route of the express service order.
  • the operations for generating the combined order in 810 may be same as or similar to the operations for obtaining order related information of the one or more candidate orders in 903.
  • the display module 450 may display order related information of the primary order.
  • the order related information may be displayed on user terminals 130.
  • the order related information of the primary order may include but not limited to remaining battery capacity of the shared car, locations of service stations, current status of the nearest service station, a route to the nearest station, or the like.
  • the order related information may include but not limited to a pickup location of a passenger, a current location of the passenger, an estimated time of arrival, or the like.
  • the processing engine 112 may store information and/or data (e.g., order related information) associated with the combined order in a storage device (e.g., the storage 160) disclosed elsewhere in the present disclosure.
  • FIG. 9 is a flowchart illustrating an exemplary process for displaying orders according to some embodiments of the present disclosure.
  • the process 900 may be implemented as a set of instructions (e.g., an application) stored in the storage ROM 230 or RAM 240.
  • the processor 220 and/or the passenger device 130 may execute the set of instructions, and when executing the instructions, the processor 220 and/or the passenger device 130 may be configured to perform the process 900.
  • the operations of the illustrated process presented below are intended to be illustrative.
  • the process 900 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 9 and described below is not intended to be limiting.
  • the process 900 may be performed by a terminal device (e.g., the passenger device 130 or the driver device 140) associated with the primary order and/or the at least one secondary order.
  • a terminal device e.g., the passenger device 130
  • the communication unit 310 may obtain a combined order.
  • the combined order may include a primary order and at least one secondary order.
  • the combined order may be a combination of the primary order and the at least one secondary order.
  • the primary order may include a transportation order.
  • the order dispatching system 100 may receive a transport request from a passenger, and select a driver who may be best suited for providing transportation service to the passenger, thus generating a primary order.
  • the processing engine 112 may obtain the one or more candidate orders that may be orders related to online to offline services which are currently available for selection.
  • the online to offline service system 100 may select, according to a certain criterion, at least one order from the one or more candidate orders.
  • the selected order may be referred to as secondary order.
  • the secondary order may be attached to the primary order to constitute a combined order. Detailed description regarding the generation of the combined order may be found elsewhere in the present disclosure, e.g., FIGs. 5 and 8, and the descriptions thereof.
  • the display module 450 may display order related information of each order in the combined order.
  • the order related information of the primary order may include but not limited to a first start location, a first destination, at least one route between the first start location and the first destination, a first start time, a first ETA, a first travel duration time, a type of the primary order, or the like, or any combination thereof.
  • the secondary order may include a service dispatching order, a merchandise dispatching order, or a passenger dispatching order.
  • the order related information of the secondary order may include second types of the one or more candidate services, second route information (e.g., a second start location, a second destination, second passing locations, etc. ) , second time information (e.g., a second start time, an acceptable waiting time, a second ETA, a second travel duration time, etc. ) , numbers of the one or more candidate orders, or the like, or any combination thereof.
  • the secondary order may be a passenger dispatching order such as a chauffeuring service order or a housekeeping service order.
  • the second start location and the second destination may be a location of a housekeeper or a chauffeur and the location of a requesting customer. The housekeeper or the chauffeur may hitchhike to the location of the customer.
  • different user interface features may be provided, at least in part, by an application or program that is stored and operated on terminal devices of users.
  • the application may be configured to communicate with the processing engine 112 that determines the primary order and the secondary order (e.g., a take-out service order, a chauffeuring service order, an express service order, or a service provider dispatching order) .
  • the users may be a collection of passengers, drivers, customers, service providers, or the like. For example, a passenger may request an express service while a customer may order take-out food in a restaurant to be delivered to his or her office.
  • a combined order may be generated which includes an express order (i.e., the primary order) and a take-out service order (i.e., the secondary order) .
  • the processing engine 112 may determine an available driver to perform the combined order.
  • Information related to the primary order, and the secondary order may be displayed on terminal devices of the passenger, the food provider the customer, and/or the driver.
  • the driver may obtain order related information of the primary order and the secondary order in the combined order.
  • the user may be enabled to make different selections for viewing specified information and/or requesting different online to offline service operations via the user interface.
  • a user interface may be presented on the display in response to the establishment of the combined order, such as a combined order including a transportation order and a take-out service order.
  • a combined order including a transportation order and a take-out service order.
  • the user interface may include order related information about orders in the combined order.
  • the order related information including a current location of a driver, a destination of the passenger, a drop off location of the passenger, a start time, an estimated time of arrival to the pickup location of the passenger, a route to the pickup location of the passenger, an average price, an estimated time of arrival to the destination of the passenger, the amount of space/capacity of the vehicle, etc.
  • the order related information including the take-out food provider, types of food, prices of food, a location of the restaurant, and the location of the requesting customer, etc. may be shown in 1002.
  • the processing engine 112 may store information and/or data (e.g., routes of combined orders, users’ habits) associated with the combined order in a storage device (e.g., the storage 160) disclosed elsewhere in the present disclosure.
  • FIG. 11 is a flowchart illustrating an exemplary process for dispatching orders according to some embodiments of the present disclosure.
  • the process 1100 may be implemented as a set of instructions (e.g., an application) stored in the storage ROM 230 or RAM 240.
  • the processor 220 and/or the modules in FIG. 4 may execute the set of instructions, and when executing the instructions, the processor 220 and/or the modules may be configured to perform the process 1100.
  • the operations of the illustrated process presented below are intended to be illustrative. In some embodiments, the process 1100 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 11 and described below is not intended to be limiting.
  • the obtaining module 410 may obtain order related information of a primary order.
  • the primary order may be a transportation order.
  • the operations for obtaining order related information of a primary order may be same as or similar to the operations in 801.
  • the determining module 420 may determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the determining module 420 may receive order related information of the primary order including at least one of a route length, a time limitation, or a type of the primary order from the obtaining module 410, and determine whether to attach at least one secondary order to the primary order based on the at least one of the route length, the time limitation, or the type of the primary order.
  • the determination module 420 may also use the machine learning model to determine whether to attach at least one secondary order to the primary order according to the order related information of the primary order.
  • the operations for determining whether to attach at least one secondary order to the primary order according to the order related information of the primary order may be same as or similar to the operations in 803.
  • the process 1100 may proceed to 1105. Otherwise, the process 1100 may proceed to 1107.
  • the transmitting module 440 may transmit the primary order and the at least one secondary order to at least one user terminal.
  • the processing engine 112 may obtain order related information of the one or more candidate orders.
  • the order related information may include route information and time information.
  • the route information may include a start location, a destination, at least one route between the start location and the destination, passing locations, etc.
  • the time information may include a start time, an acceptable waiting time, an ETA, a travel duration time etc.
  • the processing engine 112 may determine at least one secondary order attached to the primary order based on the order related information of the primary order and the one or more candidate orders. In some embodiments, the processing engine 112 may determine the at least one secondary order attached to the primary order according to one or more regulations or algorithms. For example, the processing engine 112 may determine the plurality of route similarity values, the plurality of traffic conditions, or the plurality of time similarity values to select the secondary order among the one or more candidate orders. In some embodiments, the processing engine 112 may determine the at least one secondary order attached to the primary order using a machine learning model. In some embodiments, the operations for determining the at least one secondary order may be same as or similar to the operations for determining the at least one secondary order in the process 700.
  • the transmitting module 440 may transmit the primary order and the at least one secondary order to the at least one user terminal. In some embodiments, the transmitting module 440 may transmit order related information of the at least one secondary order to the at least one user terminal so as to facilitate a user’s selection of one or more secondary orders from the transmitted at least one secondary order. After the order related information of the at least one secondary orders is transmitted and displayed in a user interface of a terminal device (e.g., the driver device 140) of the service provider, the service provider may determine whether to accept the at least one secondary order of a part of the at least one secondary order.
  • a terminal device e.g., the driver device 140
  • the processing engine 112 may determine to generate a combined order based on the primary order and the at least one secondary order of a part of the at least one secondary order.
  • the service provider i.e., the user of the driver device 140
  • the serviced provider may send a response to the processing engine 112, for example, via an I/O 350.
  • the response may be converted into computer readable instructions.
  • the processing engine 112 may generate a combined order.
  • the processing engine 112 may stop sending the at least one secondary order to the terminal device of the service provider.
  • the transmitting module 440 may transmit the primary order to the at least one user terminal.
  • Information transmitted may be displayed on the passenger device 130.
  • the information transmitted of the primary order may include but not limited to remaining battery of the shared car, locations of service stations, the current status of the nearest service station, the route to the nearest station or the like.
  • the information transmitted may include but not limited to the pickup location of the passenger, the current location of the passenger, an estimated time of arrival, or the like.
  • the processing engine 112 may store information and/or data (e.g., information transmitted) associated with the primary order and the one or more candidate orders in a storage device (e.g., the storage 160) disclosed elsewhere in the present disclosure.
  • FIG. 12 is a flowchart illustrating an exemplary process for dispatching orders according to some embodiments of the present disclosure.
  • the process 1200 may be implemented by the driver device 140.
  • the operations of the illustrated process presented below are intended to be illustrative. In some embodiments, the process 1200 may be accomplished with one or more additional operations not described and/or without one or more of the operations herein discussed. Additionally, the order in which the operations of the process as illustrated in FIG. 12 and described below is not intended to be limiting.
  • the driver device 140 may obtain order related information of a primary order and at least one secondary orders.
  • the processing engine 112 may transmit the order related information of a primary order and the at least one secondary order to at least one driver device 140 and/or the storage 160 via the network 120.
  • the at least one driver device 140 may obtain a portion or all of the order related information of the primary order and the one or more candidate orders from the processing engine 112 and/or the storage 160 via the network 120.
  • the order related information of the primary order may include the first route information (e.g., a first start location, a first destination, at least one route between the first start location and the first destination, etc. ) , the first time information (e.g., a first start time, a first ETA, a first travel duration time, etc.
  • the order related information of the at least one secondary order may include the types of the at least one secondary order, the second router information (e.g., the second start location, the second destination, the second passing locations, etc. ) , the second time information (e.g., the second start time, the second acceptable waiting time, the second ETA, the second travel duration time, etc. ) , the numbers of the at least one secondary order, the environment information, or the like, or any combination thereof.
  • the second router information e.g., the second start location, the second destination, the second passing locations, etc.
  • the second time information e.g., the second start time, the second acceptable waiting time, the second ETA, the second travel duration time, etc.
  • the order related information of the primary order and the at least one secondary order may be displayed on the driver device 140 (e.g., on the display 320) .
  • Mode of displaying the order related information of the primary order and the at least one secondary order may include but not limited to a text description, a voice description, an audio description, a graphical illustration, etc. More detailed description about obtaining order related information may be found elsewhere in the present disclosure, for example, FIGs. 5, 7, 9, and 11, and the descriptions thereof.
  • the user of the driver device 140 may determine whether to accept the at least one secondary order according to instructions input by a user. After the order related information of the at least one secondary order are received and displayed in a user interface of a terminal device (e.g., the driver device 140) of the service provider, the service provider may determine whether to accept the at least one secondary order of a part of the at least one secondary order. If the service provider determines to accept the at least one secondary order of a part of the at least one secondary order, the processing engine 112 may determine to generate a combined order based on the primary order and the at least one secondary order of a part of the at least one secondary order.
  • a terminal device e.g., the driver device 140
  • the user of the driver device 140 may determine, based on the related information of the primary order and at least one secondary order, whether to accept the at least one secondary order.
  • the user of the driver device 140 may send a response to the processing engine 112, for example, via an I/O 350.
  • the response may be converted into computer readable instructions.
  • the processing engine 112 may generate a combined order based on the primary order and the at least one secondary order of a part of the at least one secondary order.
  • the processing engine 112 may stop sending the at least one secondary order to the passenger device 130 of the service provider.
  • aspects of the present disclosure may be illustrated and described herein in any of a number of patentable classes or context including any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof. Accordingly, aspects of the present disclosure may be implemented entirely hardware, entirely software (including firmware, resident software, micro-code, etc. ) or combining software and hardware implementation that may all generally be referred to herein as a “unit, ” “module, ” or “system. ” Furthermore, aspects of the present disclosure may take the form of a computer program product embodied in one or more computer readable media having computer readable program code embodied thereon.
  • a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including electro-magnetic, optical, or the like, or any suitable combination thereof.
  • a computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that may communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Program code embodied on a computer readable signal medium may be transmitted using any appropriate medium, including wireless, wireline, optical fiber cable, RF, or the like, or any suitable combination of the foregoing.
  • Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB. NET, Python or the like, conventional procedural programming languages, such as the "C" programming language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, Ruby and Groovy, or other programming languages.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN) , or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider) or in a cloud computing environment or offered as a service such as a Software as a Service (SaaS) .
  • LAN local area network
  • WAN wide area network
  • SaaS Software as a Service

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Abstract

La présente invention concerne des systèmes et des procédés de répartition de commandes. Le procédé peut consister à obtenir des informations relatives à des commandes d'une commande primaire et d'une ou plusieurs commandes candidates. Les informations relatives aux commandes peuvent comprendre des informations d'itinéraires et des informations temporelles. Le procédé peut consister à déterminer au moins une commande secondaire reliée à la commande primaire sur la base, au moins en partie, des informations relatives aux commandes de la commande primaire et des une ou plusieurs commandes candidates. Le procédé peut également consister à générer une commande combinée sur la base des informations relatives aux commandes de la commande primaire et de ladite commande secondaire.
PCT/CN2019/097610 2019-07-25 2019-07-25 Systèmes et procédés de répartition de commandes WO2021012244A1 (fr)

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