CN114841503A - Network appointment vehicle order combination distribution method, device, system and computer program product - Google Patents

Network appointment vehicle order combination distribution method, device, system and computer program product Download PDF

Info

Publication number
CN114841503A
CN114841503A CN202210281095.3A CN202210281095A CN114841503A CN 114841503 A CN114841503 A CN 114841503A CN 202210281095 A CN202210281095 A CN 202210281095A CN 114841503 A CN114841503 A CN 114841503A
Authority
CN
China
Prior art keywords
order
time
combination
information
preset
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202210281095.3A
Other languages
Chinese (zh)
Inventor
卢学远
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alibaba China Co Ltd
Original Assignee
Alibaba China 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.)
Filing date
Publication date
Application filed by Alibaba China Co Ltd filed Critical Alibaba China Co Ltd
Priority to CN202210281095.3A priority Critical patent/CN114841503A/en
Publication of CN114841503A publication Critical patent/CN114841503A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063118—Staff planning in a project environment
    • 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
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • 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
    • G06Q50/40—Business processes related to the transportation industry

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the disclosure discloses a method, a device, a system and a computer program product for combined distribution of network taxi appointment orders, wherein the method comprises the following steps: acquiring real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; and distributing the order combination to a target network car booking driver. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.

Description

Network appointment vehicle order combination distribution method, device, system and computer program product
Technical Field
The embodiment of the disclosure relates to the technical field of data processing, in particular to a method, a device, a system and a computer program product for combined distribution of network taxi appointment orders.
Background
With the development and progress of society, many users choose to have a car appointment for travel. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
Disclosure of Invention
The embodiment of the disclosure provides a method, a device, a system and a computer program product for combined distribution of network taxi appointment orders.
In a first aspect, an embodiment of the present disclosure provides a network appointment order combination allocation method.
Specifically, the online taxi appointment order combination distribution method includes:
acquiring real-time order information and reservation order information;
forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information;
and distributing the order combination to a target network car booking driver.
With reference to the first aspect, in a first implementation manner of the first aspect, the real-time orders include real-time orders to be allocated and allocated but unfinished real-time orders; the reservation orders include reservation orders to be allocated and allocated but not completed reservation orders.
With reference to the first aspect and the first implementation manner of the first aspect, in a second implementation manner of the first aspect, after the obtaining the real-time order information and the reservation order information, the embodiment of the present disclosure further includes:
and if the estimated order dispatching time of the real-time order is greater than a first preset time threshold, taking the real-time order as a first reservation order.
With reference to the first aspect and the foregoing implementation manner of the first aspect, in a third implementation manner of the first aspect, the forming, based on the order information, an order combination from a real-time order and a reserved order that satisfy a preset order combination condition includes:
and taking one of the real-time orders as a first order of the order combination, and taking one or more of the reserved order and the first reserved order as a last order of the order combination, so that the orders in the order combination meet a preset order combination condition, wherein the number of the orders in the order combination is less than or equal to a first preset number threshold.
With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the preset order combination time condition includes: the sum of the predicted arrival time of the previous order and the predicted arrival time from the previous order arrival location to the next order departure location is earlier than the predicted departure time of the next order, and the time difference between the predicted arrival time of the previous order and the predicted arrival time of the previous order arrival location is less than a first preset time length threshold value;
the preset order combination site conditions comprise: the distance between the place where the previous order is sent and the place where the next order is sent is smaller than a preset distance threshold value.
With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the allocating the order combination to a target network car booking driver includes:
distributing the order combination to a network car booking driver with the estimated time length of arriving at a first order departure place in the order combination being less than a first preset time length threshold value, wherein the number of orders which are taken by the network car booking driver is less than or equal to a second preset number threshold value; alternatively, the first and second liquid crystal display panels may be,
and broadcasting combined order information of the order combination in a preset geographical position range, and responding to a received order receiving request of a network car booking driver, and distributing the order combination to the network car booking driver, wherein the combined order information comprises a starting place of a sequential order in the order combination.
In a second aspect, an embodiment of the present disclosure provides a combined allocation method for network appointment orders, which is suitable for a client.
Specifically, the online taxi appointment order combination distribution method includes:
in response to the received network car-booking order combination, acquiring order information of each order in the network car-booking order combination, wherein the order information at least comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time;
broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place;
and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
In a third aspect, an embodiment of the present disclosure provides a combined allocation method for a network appointment order, which is suitable for a system including a server and a client.
Specifically, the online taxi appointment order combination distribution method includes:
the server acquires real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
the method comprises the steps that a client side responds to a received network car booking order combination and obtains order information of each order in the network car booking order combination, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
In a fourth aspect, an embodiment of the present disclosure provides a network appointment order combination distribution device, which is suitable for a server.
Specifically, the network appointment order combination and distribution device includes:
the acquisition module is configured to acquire real-time order information and reservation order information;
the combination module is configured to combine real-time orders and reserved orders meeting preset order combination conditions into order combinations based on order information, wherein the order information comprises an order starting place, an order delivery place, order predicted starting time and order predicted delivery time, and the preset order combination conditions comprise preset order combination time conditions and preset order combination place conditions generated based on the order information;
and the allocation module is configured to allocate the order combination to the target network car booking driver.
In a fifth aspect, an embodiment of the present disclosure provides a network appointment order combination distribution system.
Specifically, the network appointment order combination distribution system includes:
a server configured to acquire real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
the client is configured to respond to the received network appointment order combination and acquire order information of each order in the network appointment order combination, wherein the order information comprises an order departure place, an order delivery place, an order expected departure time and an order expected delivery time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
In a sixth aspect, the present disclosure provides an electronic device, including a memory for storing one or more computer instructions for supporting a network appointment order combination distribution apparatus to execute the above network appointment order combination distribution method, and a processor configured to execute the computer instructions stored in the memory. The network appointment order combination and distribution device can also comprise a communication interface used for communicating with other equipment or a communication network.
In a seventh aspect, the disclosed embodiment provides a computer-readable storage medium for storing computer instructions for a network appointment order combination distribution device, which includes computer instructions for executing the network appointment order combination distribution method to the network appointment order combination distribution device.
In an eighth aspect, the present disclosure provides a computer program product, which includes a computer program/instruction, where the computer program/instruction when executed by a processor implements the above network appointment order combination allocation method.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the technical scheme is that the real-time orders meeting the preset order combination conditions and the reserved orders form order combinations to be distributed. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of embodiments of the disclosure.
Drawings
Other features, objects, and advantages of embodiments of the disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. In the drawings:
FIG. 1 illustrates a flow chart of a networked taxi appointment order combination distribution method according to an embodiment of the disclosure;
fig. 2 illustrates a broadcast sequence diagram of order information according to an embodiment of the present disclosure;
FIG. 3 illustrates an overall flow chart of a networked taxi appointment order combination allocation method according to an embodiment of the disclosure;
FIG. 4 illustrates a flow chart of a networked taxi appointment order combination distribution method according to another embodiment of the disclosure;
FIG. 5 illustrates a flow chart of a networked taxi appointment order combination distribution method according to yet another embodiment of the present disclosure;
FIG. 6 illustrates an interactive flow chart of a networked car booking order combination assignment method according to an embodiment of the present disclosure;
fig. 7 is a block diagram showing a configuration of a networked car appointment order combination distribution apparatus according to an embodiment of the present disclosure;
fig. 8 is a block diagram showing a configuration of a networked car appointment order combination distribution apparatus according to another embodiment of the present disclosure;
FIG. 9 is a block diagram of a networked car appointment order combination distribution system according to an embodiment of the present disclosure;
FIG. 10 shows a block diagram of an electronic device according to an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of a computer system suitable for implementing the networked appointment order combination distribution method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, exemplary embodiments of the disclosed embodiments will be described in detail with reference to the accompanying drawings so that they can be easily implemented by those skilled in the art. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.
In the disclosed embodiments, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.
It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
The technical scheme provided by the embodiment of the disclosure allocates the order combination formed by the real-time order and the reserved order which meet the preset order combination condition. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
Fig. 1 is a flowchart illustrating a combined distribution method of network appointment orders according to an embodiment of the present disclosure, and as shown in fig. 1, the combined distribution method of network appointment orders includes the following steps S101 to S103:
in step S101, acquiring real-time order information and reservation order information;
in step S102, based on order information, forming an order combination from a real-time order and an appointment order meeting a preset order combination condition, wherein the order information includes an order departure location, an order arrival location, an order predicted departure time, and an order predicted arrival time, and the preset order combination condition includes a preset order combination time condition and a preset order combination location condition generated based on the order information;
in step S103, the order combination is distributed to the target network car booking driver.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a network appointment order combination distribution method is provided, which distributes a combination of real-time orders and appointment orders satisfying preset order combination conditions to an order combination. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the online taxi appointment order combination distribution method may be applied to a computer, a computing device, an electronic device, a server, and the like, which may perform online taxi appointment order combination distribution.
In an embodiment of the present disclosure, the real-time order refers to an order sent by a user, which needs to be served for immediate pickup and fulfillment, and the real-time order may include a real-time order waiting to be allocated or a real-time order that has been allocated but not completed. The real-time order information may include one or more of the following: the order placing time of the real-time order, the departure location of the real-time order, the arrival location of the real-time order, the predicted departure time of the real-time order, the predicted arrival time of the real-time order, and the like.
In an embodiment of the present disclosure, the reserved order refers to an order sent by a user and requiring pickup and fulfillment services according to a reserved time, and the reserved order may include a reserved order waiting to be allocated or a reserved order that has been allocated but has not been completed. The reservation order information may include one or more of the following: the order time of the reserved order, the departure location of the reserved order, the arrival location of the reserved order, the expected departure time of the reserved order, the expected arrival time of the reserved order, and the like.
In an embodiment of the present disclosure, the order combination refers to a combination that is composed of real-time orders and reserved orders that can be allocated together, and satisfies a preset order combination condition without time and place conflicts among a plurality of included orders. Wherein the efficiency of the implementation of the plurality of orders in the form of order combination common allocation and sequential execution is higher than the efficiency of the implementation of the single order being allocated and executed separately.
In an embodiment of the present disclosure, the preset order combination condition includes a preset order combination time condition and a preset order combination place condition, where:
the preset order combination time condition comprises the following steps: the sum of the estimated arrival time of the previous order and the estimated arrival time from the previous order arrival place to the next order departure place is earlier than the estimated departure time of the next order, namely, the network taxi appointment driver needs enough time to arrive at the departure place of the next order after finishing the previous order when arriving at the previous order arrival place, so that the next order can be guaranteed to be carried out in time; meanwhile, the time difference between the sum of the estimated arrival time of the previous order and the estimated arrival time from the arrival place of the previous order to the departure place of the next order and the estimated departure time of the next order is less than a first preset time threshold value, namely, the taxi booking driver cannot wait too long after finishing the arrival of the previous order at the departure place of the next order, otherwise, the improvement of the order completion efficiency is not facilitated;
the preset order combination site conditions comprise: the distance between the previous order delivery location and the next order departure location is smaller than the preset distance threshold, that is, the distance between the previous order delivery location and the next order departure location cannot be too long, otherwise, the order completion cost is increased, which is not favorable for improving the order completion efficiency.
Orders meeting the preset order combination time condition and the preset order combination place condition can be regarded as orders without time and place conflict situations, and the orders can form an order combination.
In the above embodiment, first, information of a real-time order and information of a reserved order are acquired, then, based on the order information, an order combination in which there is no conflict between orders is formed by the real-time order and the reserved order, and finally, the obtained order combination is distributed to a driver of a target network car booking to be executed.
In an embodiment of the present disclosure, after the step S101, that is, the step of acquiring the real-time order information and the reservation order information, the method may further include the following steps:
if the predicted delivery time length of the real-time order is greater than a first preset time length threshold value, taking the real-time order as a first reserved order, wherein the reserved getting-on time of the first reserved order obtained by converting the real-time order is the sum of the predicted delivery time of the real-time order and the predicted arrival time of a networked car-booking driver corresponding to the real-time order from the current position to the getting-on position of the real-time order; the reserved starting place of the first reserved order can be set as the starting place of the real-time order; the reserved delivery location of the first reserved order can be set as the delivery location of the real-time order.
In order to reduce the delay rate of real-time orders, reduce the loss rate of real-time orders, improve the completion rate of real-time orders and improve the use experience of users, in this embodiment, it is also possible to convert a real-time order, which is not distributed for a short time and may be delayed, into a reservation order, specifically, real-time orders for which the estimated order delivery duration is greater than the first preset duration threshold may be converted into first appointment orders different from the original appointment orders, wherein the reserved boarding time of the first reserved order can be set as the sum of the predicted dispatch time of the real-time order and the predicted arrival time of the online taxi appointment driver corresponding to the real-time order from the current position to the boarding position of the real-time order, the reserved departure location of the first reserved order can be set as the departure location of the real-time order, and the reserved delivery location of the first reserved order can be set as the delivery location of the real-time order.
Further, in an embodiment of the present disclosure, if the estimated time duration for dispatching the real-time order is greater than a first preset time duration threshold, the step of using the real-time order as a first reservation order may be further implemented as:
and if the estimated order dispatching time of the real-time order is larger than a first preset time threshold, receiving authorization information of a user, and taking the real-time order as a first reservation order.
The authorization information of the user refers to information for authorizing a real-time order of which the expected order dispatching time length is greater than a first preset time length threshold value to be converted into a first reserved order.
In an embodiment of the present disclosure, the step S102, that is, the step of combining the real-time order and the reserved order meeting the preset order combination condition into an order combination based on the order information, may include the following steps:
and taking one of the real-time orders as a first order of the order combination, and taking one or more of the reserved order and the first reserved order as a last order of the order combination, so that the orders in the order combination meet a preset order combination condition, wherein the number of the orders in the order combination is less than or equal to a first preset number threshold.
When the real-time order and the reserved order form a order combination according to the order information of the real-time order and the reserved order, the order of the order combination is required to follow a preset order combination condition, and the number of orders included in the order combination cannot be too large, that is, the number of orders in the order combination is less than or equal to a first preset number threshold, wherein the first preset number threshold can be set according to the requirement of practical application, and the specific value of the first preset number threshold is not specifically limited by the disclosure, wherein the reserved order comprises an original reserved order sent by a user and a first reserved order obtained by converting the real-time order. Thus, the real-time orders and the reserved orders can be combined into order combinations according to the order information of the real-time orders and the reserved orders, for example, one of the real-time orders is used as a first order of the order combinations, namely, a first order to be completed in the order combinations, one or more of the original reserved orders and the first reserved orders are used as a last order of the order combinations, namely, orders which need to be completed subsequently in the order combinations, and the order combinations are generated, so that the real-time completion of the real-time orders can be guaranteed, and the completion efficiency of the reserved orders can also be guaranteed.
In an embodiment of the present disclosure, the step S103 of allocating the order combination to the target network car booking driver may include the steps of:
distributing the order combination to a network car booking driver with the estimated time length of arriving at a first order departure place in the order combination being less than a first preset time length threshold value, wherein the number of orders which are taken by the network car booking driver is less than or equal to a second preset number threshold value; alternatively, the first and second liquid crystal display panels may be,
and broadcasting combined order information of the order combination in a preset geographical position range, and responding to a received order receiving request of a network car booking driver, and distributing the order combination to the network car booking driver, wherein the combined order information comprises a starting place of a sequential order in the order combination.
In this embodiment, the allocation of the order combination may be realized by way of order dispatching and order grabbing by network car booking drivers, and specifically, in order dispatching, the order combination may be allocated to the network car booking driver reaching the first order in the order combination, that is, the departure location predicted time of the first to-be-completed order, is less than the first preset time threshold, that is, the network car booking driver reaching the departure location of the order, which may or may not be closest to the departure location of the order. In order to avoid too large back orders of the network car booking driver, the number of orders accepted by the network car booking driver needs to be smaller than or equal to a second preset number threshold, wherein the second preset number threshold can be set according to the needs of practical application, and specific values of the second preset number threshold are not specifically limited by the disclosure. When the order is taken, the combined order information of the order combination can be broadcasted within a preset geographical position range, wherein the preset geographical position range refers to the geographical position range which is obtained by taking the starting place of the first order of the order combination as the center and taking the preset distance as the radius, the combined order information of the order combination refers to the sequential order information of all orders forming the order combination, for example, the starting place of the sequential order in the order combination, and then the order combination can be distributed to the taxi appointment driver corresponding to the received first order taking request.
Further, after the order combination is accepted by the network car booking driver, the network car booking client may broadcast the order information of the order combination in sequence, for example, during the process that the network car booking driver executes the order combination, which passenger of which order is currently received may be broadcast, when completing one order in the order combination and continuing to complete the next order, the network car booking client may automatically broadcast which passenger of which order is received next in sequence, and so on, that is, during the process that the network car booking driver receives passengers, the network car booking client may broadcast the order information in sequence and in sequence, and the order information broadcast sequence is as shown in fig. 2.
In an embodiment of the present disclosure, the method may further include the steps of:
and generating a combined navigation route based on the order combination, and sending the combined navigation route to the target network car booking client for broadcasting and displaying.
In order to provide better service for a vehicle ordering driver, save the time of the vehicle ordering driver, reduce the complexity caused by the vehicle ordering operation of the vehicle ordering driver, improve the efficiency of the vehicle ordering driver in order execution and simultaneously ensure the traffic safety of the vehicle ordering driver, in the implementation mode, a combined navigation route can be generated based on the order combination and is sent to a target vehicle ordering client side for broadcasting and displaying, so that the target vehicle ordering driver can sequentially execute orders in the order combination only according to the combined navigation route, and the completion efficiency of the order combination is improved. For example, if the order combination includes a real-time order and N reservation orders, the combined navigation route obtained based on the order information of the order combination may be represented as: the system comprises a real-time order starting place, a real-time order delivery place, an order 1 reservation starting place, an order 1 reservation delivery place, an order 2 reservation starting place, an order 2 reservation delivery place, an order N reservation starting place, an order N reservation delivery place and an order N reservation delivery place.
Fig. 3 is a flowchart illustrating an overall flow of a network appointment order combination allocation method according to an embodiment of the present disclosure, and as shown in fig. 3, when performing network appointment order combination allocation, first obtaining real-time order information and appointment order information; then, taking the real-time order with the estimated order dispatching time length larger than a first preset time length threshold value as a first reservation order; then taking one of the real-time orders as a first order of the order combination, taking one or more of the reserved order and the first reserved order as a tail order of the order combination, and obtaining an order combination to distribute to a target network taxi booking client; and finally, generating a combined navigation route based on the order information of the order combination, and sending the combined navigation route to a target network car booking client for broadcasting and displaying so that a target network car booking driver can sequentially execute orders in the order combination according to the combined navigation route.
Fig. 4 is a flowchart illustrating a combined allocation method for network appointment orders according to another embodiment of the present disclosure, and as shown in fig. 4, the combined allocation method for network appointment orders includes the following steps S401 to S403:
in step S401, in response to receiving a network car booking order combination, obtaining order information of each order in the network car booking order combination, where the order information includes an order departure location, an order arrival location, an order expected departure time, and an order expected arrival time;
in step S402, broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least includes an order departure location;
in step S403, when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold, broadcasting the order departure information of the next order until all orders in the network appointment order combination are broadcasted.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a network appointment order combination distribution method is provided, which distributes a combination of real-time orders and appointment orders satisfying preset order combination conditions to an order combination. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the online taxi appointment order combination allocation method is applicable to a client such as a computer, a computing device, and an electronic device that can perform online taxi appointment order combination allocation.
In an embodiment of the present disclosure, as described above, the order information may include one or more of the following information: order placement time, order departure location, order arrival location, order expected departure time, and order expected arrival time, among others.
In an embodiment of the present disclosure, the order departure information at least includes an order departure place.
In the above embodiment, after receiving the network car booking order combination, the client first acquires order information of each order in the network car booking order combination; then, starting broadcasting from a first order in the network car booking order combination, namely broadcasting order departure information such as an order departure place of the first order in the network car booking order combination so that a network car booking driver can clearly determine which the network car booking driver should go; and then when the time length between the current time and the expected arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted, namely when the currently executed order is about to be completed, broadcasting the next destination point in advance so that the network taxi appointment driver knows the next point in advance.
Technical terms and technical features related to the technical terms and technical features shown in fig. 4 and related embodiments are the same as or similar to those of the technical terms and technical features shown in fig. 1 to 3 and related embodiments, and for the explanation and description of the technical terms and technical features related to the technical terms and technical features shown in fig. 4 and related embodiments, reference may be made to the above explanation of the embodiment shown in fig. 1 to 3 and related embodiments, and no further description is provided here.
Fig. 5 is a flowchart illustrating a network appointment order combination distribution method according to still another embodiment of the present disclosure, and as shown in fig. 5, the network appointment order combination distribution method includes the following steps S501 to S502:
in step S501, the server acquires real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
in step S502, in response to receiving a network car booking order combination, the client acquires order information of each order in the network car booking order combination, wherein the order information includes an order departure location, an order arrival location, an order expected departure time, and an order expected arrival time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a network appointment order combination distribution method is provided, which distributes a combination of real-time orders and appointment orders satisfying preset order combination conditions to an order combination. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the online taxi appointment order combination distribution method may be applied to an online taxi appointment order combination distribution system including a server and a client, and capable of performing online taxi appointment order combination distribution.
Technical terms and technical features related to the technical terms and technical features shown in fig. 5 and related embodiments are the same as or similar to those of the technical terms and technical features shown in fig. 1 to 4 and related embodiments, and for the explanation and description of the technical terms and technical features related to the technical terms and technical features shown in fig. 5 and related embodiments, reference may be made to the above explanation of the embodiment shown in fig. 1 to 4 and related embodiments, and no further description is provided here.
Fig. 6 is an interactive flowchart of a combination allocation method for online taxi appointment orders according to an embodiment of the present disclosure, and as shown in fig. 6, a server obtains information of real-time orders and information of appointment orders sent by a user; then, based on the order information, forming an order combination by the real-time order and the reserved order which meet the preset order combination condition; then the order combination is distributed to a target network car booking driver; the method comprises the steps that after a client side of a target network car booking driver receives a network car booking order combination, order information of each order in the network car booking order combination is obtained; then broadcasting the order departure information of the first order in the network appointment order combination; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 7 is a block diagram illustrating a configuration of a networked car reservation order combination distribution apparatus according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of the two. As shown in fig. 7, the network appointment order combination distribution device includes:
a first obtaining module 701 configured to obtain real-time order information and reservation order information;
a combination module 702 configured to combine real-time orders and reserved orders meeting preset order combination conditions into order combinations based on order information, wherein the order information includes an order departure location, an order arrival location, an order predicted departure time and an order predicted arrival time, and the preset order combination conditions include a preset order combination time condition and a preset order combination location condition generated based on the order information;
an assigning module 703 configured to assign the order combination to a target network car booking driver.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a network appointment order combination distribution device is provided, which distributes a combination of real-time orders and appointment orders satisfying preset order combination conditions to an order combination. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the network appointment order combination distribution device may be implemented as a computer, a computing device, an electronic device, a server, or the like, which can perform network appointment order combination distribution.
Fig. 8 is a block diagram illustrating a configuration of a networked car appointment order combination distribution apparatus according to another embodiment of the present disclosure, which may be implemented as part or all of an electronic device through software, hardware or a combination of both. As shown in fig. 8, the network appointment order combination distribution device includes:
a second obtaining module 801 configured to, in response to receiving a network appointment order combination, obtain order information of each order in the network appointment order combination, where the order information at least includes an order departure location, an order arrival location, an order expected departure time, and an order expected arrival time;
the broadcasting module 802 is configured to broadcast order departure information of a first order in the network appointment order combination, wherein the order departure information at least includes an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a network appointment order combination distribution device is provided, which distributes a combination of real-time orders and appointment orders satisfying preset order combination conditions to an order combination. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the network appointment order combination allocation method may be implemented as a client, such as a computer, a computing device, and an electronic device, which can perform network appointment order combination allocation.
Fig. 9 is a block diagram of a networked car reservation order combination distribution system according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of the two. As shown in fig. 9, the network appointment order combination distribution system includes:
a server 901 configured to acquire real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
the client 902 is configured to, in response to receiving a network appointment order combination, acquire order information of each order in the network appointment order combination, wherein the order information includes an order departure location, an order delivery location, an order expected departure time, and an order expected delivery time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
As mentioned above, many users choose to net their car for travel as society develops and progresses. However, the real-time performance of the network car booking order is strong, and the time requirement of the user on order fulfillment is high, so that the real-time and unified allocation of the network car booking order is difficult to realize, the global optimization of the allocation of the network car booking order is not facilitated, and the improvement of the allocation efficiency of the network car booking order is hindered.
In view of the above problem, in this embodiment, a networked taxi appointment order combination distribution system is provided, which distributes real-time orders and appointment orders satisfying preset order combination conditions to form order combinations. According to the technical scheme, real-time and unified allocation of the network car booking orders can be realized, global optimization of allocation of the network car booking orders is facilitated, the empty car tour time of the network car booking is reduced, the allocation efficiency of the network car booking orders is improved, and the use experience of a network car booking driver and a user is improved.
In an embodiment of the present disclosure, the network appointment order combination distribution system may be implemented as a network appointment order combination distribution system including a server and a client, which may perform network appointment order combination distribution.
Technical terms and technical features related to the above-described apparatus-related embodiments are the same as or similar to those mentioned in the above-described method-related embodiments, and for the explanation and description of the technical terms and technical features related to the above-described apparatus-related embodiments, reference may be made to the above-described explanation of the method-related embodiments, and no further description is given here.
The present disclosure also discloses an electronic device, fig. 10 shows a block diagram of the electronic device according to an embodiment of the present disclosure, and as shown in fig. 10, the electronic device 1000 includes a memory 1001 and a processor 1002; wherein the content of the first and second substances,
the memory 1001 is used to store one or more computer instructions that are executed by the processor 1002 to implement the above-described method steps.
Fig. 11 is a schematic structural diagram of a computer system suitable for implementing the networked appointment order combination distribution method according to an embodiment of the present disclosure.
As shown in fig. 11, the computer system 1100 includes a processing unit 1101, which can execute various processes in the above-described embodiments according to a program stored in a Read Only Memory (ROM)1102 or a program loaded from a storage section 1108 into a Random Access Memory (RAM) 1103. In the RAM1103, various programs and data necessary for the operation of the system 1100 are also stored. The processing unit 1101, the ROM1102, and the RAM1103 are connected to each other by a bus 1104. An input/output (I/O) interface 1105 is also connected to bus 1104.
The following components are connected to the I/O interface 1105: an input portion 1106 including a keyboard, mouse, and the like; an output portion 1107 including a signal output unit such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 1108 including a hard disk and the like; and a communication section 1109 including a network interface card such as a LAN card, a modem, or the like. The communication section 1109 performs communication processing via a network such as the internet. A driver 1110 is also connected to the I/O interface 1105 as necessary. A removable medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1110 as necessary, so that a computer program read out therefrom is mounted into the storage section 1108 as necessary. The processing unit 1101 may be implemented as a CPU, a GPU, a TPU, an FPGA, an NPU, or other processing units.
In particular, the above described methods may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the route planning method. In such an embodiment, the computer program can be downloaded and installed from a network through the communication portion 1109 and/or installed from the removable medium 1111.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
As another aspect, the disclosed embodiment also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the foregoing embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the embodiments of the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combinations of the above-mentioned features, and that other embodiments can be made by any combination of the above-mentioned features or their equivalents without departing from the spirit of the invention. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (11)

1. A network appointment order combination distribution method is suitable for a server, and comprises the following steps:
acquiring real-time order information and reservation order information;
forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information;
and distributing the order combination to a target network car booking driver.
2. The method of claim 1, wherein the real-time orders comprise real-time orders to be distributed and distributed but unfinished real-time orders; the reservation orders include reservation orders to be allocated and allocated but not completed reservation orders.
3. The method according to claim 1 or 2, further comprising, after acquiring the real-time order information and the reservation order information:
and if the estimated order dispatching time of the real-time order is greater than a first preset time threshold, taking the real-time order as a first reservation order.
4. The method according to claim 3, wherein the forming the real-time order and the reserved order meeting the preset order combination condition into an order combination based on the order information comprises:
and taking one of the real-time orders as a first order of the order combination, and taking one or more of the reserved order and the first reserved order as a last order of the order combination, so that the orders in the order combination meet a preset order combination condition, wherein the number of the orders in the order combination is less than or equal to a first preset number threshold.
5. The method of claim 4, wherein:
the preset order combination time condition comprises the following steps: the sum of the predicted arrival time of the previous order and the predicted arrival time from the previous order arrival location to the next order departure location is earlier than the predicted departure time of the next order, and the time difference between the predicted arrival time of the previous order and the predicted arrival time of the previous order arrival location is less than a first preset time length threshold value;
the preset order combination site conditions comprise: the distance between the place where the previous order is sent and the place where the next order is sent is smaller than a preset distance threshold value.
6. The method of any one of claims 1, 2, and 5, wherein said assigning said order combination to a target web car booking driver, comprises:
distributing the order combination to a network car booking driver with the estimated time length of arriving at a first order departure place in the order combination being less than a first preset time length threshold value, wherein the number of orders which are taken by the network car booking driver is less than or equal to a second preset number threshold value; alternatively, the first and second electrodes may be,
and broadcasting combined order information of the order combination in a preset geographical position range, and responding to a received order receiving request of a network car booking driver, and distributing the order combination to the network car booking driver, wherein the combined order information comprises a starting place of a sequential order in the order combination.
7. A network appointment order combination distribution method is suitable for clients, and comprises the following steps:
in response to receiving a network car booking order combination, acquiring order information of each order in the network car booking order combination, wherein the order information at least comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time;
broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place;
and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
8. A networked taxi appointment order combination distribution method is suitable for a system comprising a server and a client, wherein the method comprises the following steps:
the server acquires real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
the method comprises the steps that a client side responds to a received network car booking order combination and obtains order information of each order in the network car booking order combination, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
9. A network appointment order combination distribution device is suitable for a server, and comprises:
an acquisition module configured to acquire real-time order information and reservation order information;
the combination module is configured to combine real-time orders and reserved orders meeting preset order combination conditions into order combinations based on order information, wherein the order information comprises an order starting place, an order delivery place, order predicted starting time and order predicted delivery time, and the preset order combination conditions comprise preset order combination time conditions and preset order combination place conditions generated based on the order information;
and the allocation module is configured to allocate the order combination to the target network car booking driver.
10. A networked car booking order combination distribution system, comprising:
a server configured to acquire real-time order information and reservation order information; forming an order combination by a real-time order and an appointed order which meet preset order combination conditions based on order information, wherein the order information comprises an order starting place, an order delivery place, an order predicted starting time and an order predicted delivery time, and the preset order combination conditions comprise a preset order combination time condition and a preset order combination place condition which are generated based on the order information; distributing the order combination to a target network car booking driver;
the client is configured to respond to the received network appointment order combination and acquire order information of each order in the network appointment order combination, wherein the order information comprises an order departure place, an order delivery place, an order expected departure time and an order expected delivery time; broadcasting order departure information of a first order in the network appointment order combination, wherein the order departure information at least comprises an order departure place; and when the time length between the current time and the estimated arrival time of the currently executed order is less than a second preset time length threshold value, broadcasting the order departure information of the next order until all orders in the network taxi appointment order combination are broadcasted.
11. A computer program product comprising computer programs/instructions, wherein the computer programs/instructions, when executed by a processor, implement the method steps of any of claims 1-8.
CN202210281095.3A 2022-03-21 2022-03-21 Network appointment vehicle order combination distribution method, device, system and computer program product Pending CN114841503A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210281095.3A CN114841503A (en) 2022-03-21 2022-03-21 Network appointment vehicle order combination distribution method, device, system and computer program product

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210281095.3A CN114841503A (en) 2022-03-21 2022-03-21 Network appointment vehicle order combination distribution method, device, system and computer program product

Publications (1)

Publication Number Publication Date
CN114841503A true CN114841503A (en) 2022-08-02

Family

ID=82562401

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210281095.3A Pending CN114841503A (en) 2022-03-21 2022-03-21 Network appointment vehicle order combination distribution method, device, system and computer program product

Country Status (1)

Country Link
CN (1) CN114841503A (en)

Similar Documents

Publication Publication Date Title
JP7235647B2 (en) Systems and methods for allocating pending orders
US10325442B2 (en) Facilitating direct rider driver pairing for mass egress areas
US11062415B2 (en) Systems and methods for allocating networked vehicle resources in priority environments
CN109243171B (en) Vehicle scheduling method, server and system
CN109635980B (en) Method and system for allocating order of vehicle
JP2004362271A (en) Ride sharing riding system, riding information processor and ride sharing riding method
CN109816128B (en) Method, device and equipment for processing network taxi appointment orders and readable storage medium
CN110313013A (en) System and method for prediction latency time
CN111861310A (en) Freight order allocation method, device, server and storage medium
CN113435968A (en) Network appointment vehicle dispatching method, device, electronic equipment and storage medium
CN111178686A (en) Distribution method and device of network appointment vehicles, electronic equipment and storage medium
CN111861081A (en) Order allocation method and device, electronic equipment and storage medium
CN111776896B (en) Elevator dispatching method and device
US20210118082A1 (en) Shared vehicle managing system
CN107437129B (en) Reservation sheet processing method and server
CN112232613A (en) Task scheduling method and device, electronic equipment and computer readable storage medium
JP2002024659A (en) Taxi dispatch reserving system
CN110555734A (en) prompt message pushing method and device, server and storage medium
CN112232614A (en) Distribution task allocation method and device, electronic equipment and computer storage medium
CN114841503A (en) Network appointment vehicle order combination distribution method, device, system and computer program product
CN110942240B (en) Information processing method, system, terminal and storage medium
CN113988770B (en) Transport vehicle on-road queuing control method and device and electronic equipment
CN111582621A (en) Vehicle ride and drive sharing auxiliary system
CN108171355B (en) Method for resource allocation and for vehicle scheduling and apparatus thereof
US20150105935A1 (en) Method and system for managing operation of multi-line public transportation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination