WO2020238157A1 - Détermination de temps d'attente - Google Patents

Détermination de temps d'attente Download PDF

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Publication number
WO2020238157A1
WO2020238157A1 PCT/CN2019/125156 CN2019125156W WO2020238157A1 WO 2020238157 A1 WO2020238157 A1 WO 2020238157A1 CN 2019125156 W CN2019125156 W CN 2019125156W WO 2020238157 A1 WO2020238157 A1 WO 2020238157A1
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WO
WIPO (PCT)
Prior art keywords
waiting time
target location
free
target area
supply
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PCT/CN2019/125156
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English (en)
Chinese (zh)
Inventor
张默
王瑾瑄
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北京三快在线科技有限公司
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Publication of WO2020238157A1 publication Critical patent/WO2020238157A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock 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
    • 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
    • G06Q50/40—Business processes related to the transportation industry

Definitions

  • This application relates to the field of data processing technology, in particular to the determination of waiting time.
  • the business platform will dispatch service providers for users based on the location in the order.
  • the service provider accepts the order, the business platform will estimate the service time and free waiting time for the user, and notify the user and the service provider.
  • this application provides a method, device, device, and storage medium for determining the waiting time.
  • a method for determining the waiting time including:
  • the free waiting time of the order is determined based on the free waiting time adjustment coefficient.
  • a device for determining waiting time including:
  • An order request receiving module configured to receive order request information sent by a service receiver, where the order request information includes a target location;
  • An adjustment coefficient determination module configured to determine a free waiting time adjustment coefficient based on the supply and demand tension parameters of a target area, the target area including the area to which the target location belongs;
  • the waiting time determining module is configured to determine the free waiting time of the order based on the free waiting time adjustment coefficient.
  • a device for determining waiting time including a memory, a processor, and a computer program stored on the memory and running on the processor, wherein when the processor executes the program Realize any of the above-mentioned methods for determining the waiting time.
  • a computer-readable storage medium stores a computer program, and the computer program is used to execute any one of the aforementioned methods for determining a waiting time.
  • this application receives the order request information sent by the service receiver, and determines the free waiting time adjustment coefficient based on the supply and demand tension parameters in the target area, and then the free waiting time adjustment coefficient can be used to determine the order Free waiting time, because the free waiting time adjustment coefficient is determined based on the supply and demand tension parameter of the target area to which the target location in the order request information belongs, and the free waiting time of the order is determined based on the free waiting time adjustment coefficient, so it can be realized based on the target area Dynamically adjust the free waiting time of order requests based on the tightness of supply and demand, which can then realize the follow-up free waiting time based on adjustment to encourage passengers to arrive at the pick-up point in advance or to leave early to reduce the waiting time of drivers and reduce the risk of drivers being penalized for violations; In addition, it can alleviate traffic congestion in densely populated areas to a certain extent.
  • Fig. 1 is a flowchart of a method for determining waiting time according to an exemplary embodiment of the present application
  • Fig. 2 is a flow chart of determining a free waiting time adjustment coefficient based on the supply and demand tension parameters of the target area according to an exemplary embodiment of the present application;
  • FIG. 3 is a flowchart of determining the supply and demand tension parameters of the target area when the service provider arrives at the target location according to an exemplary embodiment of the present application;
  • FIG. 4 is a flowchart of determining the supply and demand tension parameters of the target area when the service provider arrives at the target location according to another exemplary embodiment of the present application;
  • Fig. 5 is a flowchart of a method for determining a waiting time shown in another exemplary embodiment of the present application
  • Fig. 6 is a flowchart of determining the upper limit of the free waiting time of the target location according to an exemplary embodiment of the present application
  • Fig. 7A is a flowchart of determining the upper limit of the free waiting time of the target location according to another exemplary embodiment of the present application.
  • Fig. 7B is a schematic diagram showing road view image information of a target area according to an exemplary embodiment of the present application.
  • Fig. 8 is a structural diagram of a device for determining waiting time according to an exemplary embodiment of the present application.
  • Fig. 9 is a structural diagram of a device for determining a waiting time shown in another exemplary embodiment of the present application.
  • Fig. 10 is a structural diagram of a device for determining waiting time according to an exemplary embodiment of the present application.
  • first, second, third, etc. may be used in this application to describe various information, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as second information, and similarly, the second information may also be referred to as first information.
  • word “if” as used herein can be interpreted as "when” or “when” or "in response to determination”.
  • the online car-hailing platform will dispatch vehicles for the user according to the target location in the order after receiving a taxi order sent by the user (that is, the service receiver). After confirming the order vehicle (that is, the service provider), the online car-hailing platform will estimate the pick-up time and free waiting time for the driver (that is, the free waiting time for the passenger after the driver arrives at the pickup point), and notify the user and pick Single vehicle.
  • the free waiting time is usually a fixed length of time established by the business platform.
  • the driver may have to risk being punished for violations, and it may easily lead to traffic congestion and reduce the driver’s pick-up efficiency. Affect the experience of both drivers and passengers.
  • Fig. 1 is a flowchart of a method for determining waiting time according to an exemplary embodiment of the present application; this embodiment can be used on a platform server, where the platform server can include one server or multiple servers. Server clusters, etc. As shown in Figure 1, the method includes steps S101-S103:
  • step S101 receiving order request information sent by a service receiver, where the order request information includes a target location.
  • the server may receive order request information sent by the service receiver, and the order request information may include the target location.
  • the target location may be a location related to the service, such as a location where the entire service is provided or a location where the service is started, which is not limited in this embodiment.
  • the above-mentioned services may include online car-hailing services, takeaway services, or express services, etc. Accordingly, the above-mentioned service recipients include users who request corresponding services, and the service providers include users who provide corresponding services; and
  • the target location may include a pick-up location, a place to pick up a meal, a location to pick up a courier, etc., which are not limited in this embodiment.
  • the terminal device such as a smartphone can send order request information to the platform server, and the platform server can determine the target location based on the order request information.
  • step S102 the free waiting time adjustment coefficient is determined based on the supply and demand tension parameter of the target area, the target area including the area to which the target location belongs.
  • the server receives the order request information sent by the service receiver and determines the target location based on the order request information
  • the target area to which the target location belongs can be determined, and then based on the tightness of supply and demand in the target area
  • the parameter determines the free waiting time adjustment coefficient
  • the target area may be a preset surrounding area centered on the target location; or, it may be a pre-divided area containing the target location.
  • the server receives the order request information sent by the service receiver and determines the target location based on the order request information
  • the coordinates of the target location can be matched with multiple pre-divided areas to match the
  • the area containing the coordinates of the target location among the multiple areas is determined to be the area containing the target location, that is, the target area.
  • the aforementioned supply-demand tension parameter can be set by the developer according to actual business needs, such as the number of waiting persons in the corresponding area or the order acceptance rate, which is not limited in this embodiment.
  • the above method of determining the free waiting time adjustment coefficient based on the supply and demand tension parameters of the target area can also refer to the embodiment shown in FIG. 2 below, which will not be described in detail here.
  • step S103 determine the free waiting time of the order based on the free waiting time adjustment coefficient.
  • the free waiting time of the order may be determined based on the free waiting time adjustment coefficient.
  • determining the free waiting time of the order based on the free waiting time adjustment coefficient includes determining the free waiting time of the order based on the free waiting time adjustment coefficient and a free waiting time upper limit.
  • the free waiting time upper limit may be adjusted based on the free waiting time adjustment coefficient, and the adjustment result is determined as the order Free waiting time.
  • the upper limit of the free waiting time may be a preset free waiting time in the target area, for example, the longest waiting time specified by traffic laws in the target area, etc. This is not done in this embodiment. limited.
  • the above method of determining the free waiting time of the order based on the free waiting time adjustment coefficient can also refer to the embodiment shown in FIG. 5 below, which will not be described in detail here.
  • the order request information sent by the service receiver is received, and the free waiting time adjustment coefficient is determined based on the supply and demand tension parameters in the target area, and the free waiting time adjustment coefficient can then be used to determine the order Free waiting time.
  • the free waiting time adjustment coefficient is determined based on the supply and demand tension parameter of the target area to which the target location belongs in the order request information, and the free waiting time of the order is determined based on the free waiting time adjustment coefficient, the supply and demand tension based on the target area can be realized
  • the subsequent adjustment-based free waiting time can encourage passengers to arrive at the pick-up point in advance or leave early, so as to reduce the waiting time of drivers and reduce the risk of drivers being penalized for violations; and, to a certain extent To ease traffic congestion in densely populated areas.
  • Fig. 2 is a flowchart of determining a free waiting time adjustment coefficient based on the supply and demand tension parameters of the target area according to an exemplary embodiment of the present application; this embodiment is based on the supply and demand tension parameters of the target area on the basis of the foregoing embodiment Determining the free waiting time adjustment coefficient is an example for illustrative explanation.
  • the determination of the free waiting time adjustment coefficient based on the supply and demand tension parameters of the target area in the foregoing step S102 may include the following steps S201-S202:
  • step S201 the supply and demand tension parameters of the target area when the service provider arrives at the target location are determined.
  • the server after the server receives the order request information sent by the service receiver, and determines the target location based on the order request information, it can determine the supply and demand tension parameters of the target area when the service provider arrives at the target location .
  • the supply and demand tension parameters in the target area usually change. If the supply and demand tension parameters at the moment when the service receiver sends the order request information are determined, when the service receiver arrives at the target location, the supply and demand in the target area is tight The degree parameters may have changed, resulting in an inability to accurately calculate the free waiting time for orders. Therefore, in order to improve the accuracy of calculating the free waiting time of the order, it is possible to estimate the supply and demand tension parameters of the target area "when the service provider arrives at the target location".
  • the above method of determining the supply and demand tension parameters of the target area when the service provider arrives at the target location can also refer to the embodiment shown in FIG. 3 or FIG. 4 below, which will not be described in detail here. .
  • step S202 a free waiting time adjustment coefficient is determined based on the supply and demand tension parameter.
  • the free waiting time adjustment coefficient may be determined based on the supply and demand tension parameter.
  • the supply and demand tightness parameter can be negatively correlated with the free waiting time adjustment coefficient, for example, the supply and demand tightness parameter The larger the value of (that is, the tighter the supply and demand), the lower the free waiting time adjustment coefficient (that is, the shorter the free waiting time is adjusted).
  • this embodiment determines the supply and demand tension parameters of the target area when the service provider arrives at the target location, and determines the free waiting time adjustment coefficient based on the supply and demand tension parameters. Since what is determined is the supply-demand tension parameter of the target area when the service provider arrives at the target location, the corresponding free waiting time adjustment coefficient can be determined based on the supply-demand tension parameter at that moment, and the supply-demand tension parameter and free The waiting time adjustment coefficient is negatively correlated, which can improve the accuracy of determining the free waiting time adjustment coefficient and make the determined free waiting time adjustment coefficient more in line with real-time demand.
  • Fig. 3 is a flowchart of determining the supply and demand tension parameters of the target area when the service provider arrives at the target location according to an exemplary embodiment of the present application; this embodiment is based on the above embodiment to determine the service provider’s arrival at the target location Take the supply-demand tension parameter in the target area as an example to illustrate.
  • the determination of the supply and demand tension parameters of the target area when the service provider arrives at the target location in the foregoing step S201 may include the following steps S301-S302:
  • step S301 the number of people waiting in the target area when the service provider arrives at the target location is estimated.
  • the server when the server determines the target location in the order request information sent by the service receiver, it can estimate the number of people waiting in the target area when the service provider arrives at the target location.
  • the server when the server receives the target location "A" in the order request information sent by the service receiver "A", it can estimate the number of people waiting in the target area when the service provider "B" arrives at the target location "A” , Such as "12".
  • step S302 the supply and demand tension parameter of the target area is determined based on the number of people waiting.
  • the supply and demand tension parameters of the target area can be determined based on the number of waiting people.
  • the ratio of the number of waiting persons to the preset threshold of the number of persons may be calculated, and the ratio may be determined as the supply and demand tension parameter of the target area.
  • the above-mentioned preset threshold for the number of people can be calculated by the developer using an algorithm in the prior art, or set directly based on business experience, such as "10", which is not limited in this embodiment. Still taking the number of people waiting as “12" in step S301 as an example, the ratio "1.2" of the number of waiting people "12" to the preset number threshold "10" can be determined as the supply and demand tension parameter of the target area.
  • this embodiment estimates the number of people waiting in the target area when the service provider arrives at the target location, and determines the supply and demand tension parameters of the target area based on the number of waiting people, which can be relatively accurately determined
  • the supply and demand tension parameters of the target area when the service provider arrives at the target location can lay a foundation for subsequent determination of the free waiting time adjustment coefficient based on the supply and demand tension parameters.
  • FIG. 4 is a flowchart of determining the supply and demand tension parameters of the target area when the service provider reaches the target location according to another exemplary embodiment of the present application; this embodiment is based on the foregoing embodiment to determine that the service provider reaches the target Take the supply-demand tension parameter of the target area as an example to illustrate.
  • the determination of the supply and demand tension parameters of the target area when the service provider arrives at the target location in the foregoing step S201 may include the following steps S401-S402:
  • step S401 the order acceptance rate of the target area when the service provider arrives at the target location is estimated.
  • the server when the server determines the target location in the order request information sent by the service receiver, it can estimate the order acceptance rate of the target area when the service provider arrives at the target location.
  • the server when the server receives the target location "A" in the order request information sent by the service receiver "A", it can estimate the order in the target area when the service provider "B" arrives at the target location "A" Rate, such as "0.5".
  • step S402 the supply and demand tension parameter of the target area is determined based on the order acceptance rate.
  • the order acceptance rate may determine the supply and demand tension parameter of the target area based on the order acceptance rate.
  • the ratio of the preset order acceptance rate threshold to the aforementioned order acceptance rate can be calculated, and the ratio can be determined as the supply and demand tension parameter of the aforementioned target area.
  • the above-mentioned preset order acceptance rate threshold can be calculated by the developer using an algorithm in the prior art, or set directly based on business experience, for example, set to "0.6", etc. This embodiment does not limit this . Still taking the order acceptance rate of "0.5" in step S401 as an example, the ratio "1.2" of the preset order acceptance rate threshold to the order acceptance rate can be determined as the supply and demand tension parameter of the target area.
  • this embodiment estimates the order acceptance rate of the target area when the service provider arrives at the target location, and determines the supply and demand tension parameters of the target area based on the order acceptance rate, which can be relatively accurate Determining the supply and demand tension parameters of the target area when the service provider arrives at the target location can lay a foundation for the subsequent determination of the free waiting time adjustment coefficient based on the supply and demand tension parameters.
  • FIG. 5 is a flowchart of a method for determining waiting time shown in another exemplary embodiment of the present application; this embodiment may be used on a platform server, where the platform server may include one server or multiple servers Server clusters, etc. As shown in Figure 5, the method includes steps S501-S504:
  • step S501 receiving order request information sent by the service receiver.
  • the order request information includes a target location
  • step S502 determine the free waiting time adjustment coefficient based on the supply and demand tension parameter of the target area.
  • the target area includes the area to which the target location belongs.
  • step S503 Determine the free waiting time of the order based on the product of the free waiting time upper limit of the target location and the free waiting time adjustment coefficient.
  • the server after the server determines the free waiting time adjustment coefficient of the target area, it can obtain the free waiting time upper limit of the target location, which can then be based on the free waiting time upper limit of the target location and the free waiting time adjustment coefficient The product of determines the free waiting time for the order.
  • the upper limit of the free waiting time may be the longest free waiting time preset in the target area, for example, the longest waiting time stipulated by the traffic laws of the target area, etc. This embodiment is about this Not limited.
  • the above method of obtaining the upper limit of the free waiting time of the target location may refer to the embodiment shown in FIG. 6 or FIG. 7A below, which will not be described in detail here.
  • step S504 Push a prompt message to the service receiver.
  • the prompt message is used to prompt that the service receiver will be charged a waiting fee when arriving at the target location beyond the free waiting time.
  • the server may push a prompt message to the service recipient to remind the service recipient to exceed the free waiting time.
  • a waiting fee will be charged for arriving at the target location in time.
  • the online car-hailing platform server determines the free waiting time (for example, 5 minutes, etc.) for the above order, it can push notification information to the service receiver (for example, passengers) to remind the passengers that more than 5 A waiting fee will be charged for arriving at the target location within minutes.
  • the service receiver for example, passengers
  • this embodiment determines the free waiting time of the order based on the product of the upper limit of the free waiting time at the target location and the free waiting time adjustment coefficient, so that the free waiting time of the order can be determined relatively accurately. And by pushing a reminder message to the service recipient, it is possible to motivate passengers to arrive at the pick-up point in advance or to leave early based on the determined free waiting time, so as to reduce the waiting time of the driver and reduce the risk of the driver being punished for violation of regulations. To a certain extent, alleviate traffic congestion in densely populated areas.
  • FIG. 6 is a flowchart of determining the upper limit of the free waiting time of the target location according to an exemplary embodiment of the present application; this embodiment is performed as an example to determine the upper limit of the free waiting time of the target location on the basis of the foregoing embodiment Exemplary description.
  • the method of the embodiment shown in FIG. 5 further includes determining in advance the free waiting time upper limit of the target location based on the following steps S601-S602:
  • step S601 based on the identification information of the target area to which the target location belongs, the correspondence relationship data between the pre-stored area identification information and the traffic law information is queried to obtain the traffic law information of the target area.
  • the server may pre-store the corresponding relationship data between each area identification information and the traffic law information.
  • the pre-stored data on the correspondence between the area identification information and the traffic law information can be queried to obtain the target area Traffic regulations information.
  • step S602 the upper limit of the free waiting time of the target location is determined based on the traffic law information.
  • the server may determine the free waiting time of the target location based on the traffic law information Upper limit.
  • the server After the server obtains the traffic law information "Regulation a" of the target area "S", it can analyze the "Regulation a” to obtain the free waiting time limit of the target location.
  • the corresponding relationship data between the pre-stored area identification information and the traffic law information is inquired to obtain the traffic law information of the target area, and based on The traffic law information determines the upper limit of the free waiting time of the target location, which can realize relatively accurate determination of the upper limit of the free waiting time of the target location, and further can be used for subsequent determination based on the upper limit of the free waiting time and the free waiting time adjustment coefficient. Provide the basis for the free waiting time of the order.
  • FIG. 7A is a flowchart of determining the upper limit of the free waiting time of the target location according to an exemplary embodiment of the present application; this embodiment is performed on the basis of the foregoing embodiment to determine the upper limit of the free waiting time of the target location as an example Exemplary description.
  • the method of the embodiment shown in FIG. 5 further includes determining in advance the free waiting time upper limit of the target location based on the following steps S701-S703:
  • step S701 the road view image information of the target area to which the target location belongs is acquired.
  • the server may obtain in advance road view image information of the target area to which the target location belongs.
  • FIG. 7B shows a schematic diagram of road view image information of a target area shown in an exemplary embodiment of the present application.
  • the road view image information includes the time-limited parking identification information of the current area "time-limited 8 minutes”.
  • step S702 identify time-limited parking identification information from the road view image information.
  • time-limited parking identification information may be identified from the road view image information.
  • the above-mentioned method of identifying the time-limited parking identification information "8 minutes" from the road view image information shown in FIG. 7B can be selected by the developer from the prior art according to business requirements.
  • the image recognition method is not limited.
  • step S703 the upper limit of the free waiting time at the target location is determined based on the limited-time parking identification information.
  • the server may determine the upper limit of the free waiting time at the target location based on the time-limited parking identification information.
  • all or part of the time-limited time (for example, 8 minutes or 6 minutes) in the above-mentioned time-limited parking identification information may be determined as the upper limit of the free waiting time at the target location.
  • this embodiment acquires road view image information of the target area to which the target location belongs, and recognizes time-limited parking identification information from the road-view image information, and then determines the time-limited parking identification information based on the time-limited parking identification information.
  • the free waiting time upper limit of the target location can realize the accurate determination of the free waiting time upper limit of the target location, and can provide a basis for subsequently determining the free waiting time of the order based on the free waiting time upper limit and the free waiting time adjustment coefficient.
  • FIG. 8 is a structural diagram of a device for determining waiting time according to an exemplary embodiment of the present application; as shown in FIG. 8, the device includes: an order request receiving module 110, an adjustment coefficient determining module 120, and a waiting time determining module 130 ,among them:
  • the order request receiving module 110 is configured to receive order request information sent by a service receiver, where the order request information includes a target location;
  • the adjustment coefficient determining module 120 is configured to determine the free waiting time adjustment coefficient based on the supply and demand tension parameters of the target area, the target area including the area to which the target location belongs;
  • the waiting time determining module 130 is configured to determine the free waiting time of the order based on the free waiting time adjustment coefficient.
  • the waiting time determining module 130 determines the free waiting time of the order based on the free waiting time adjustment coefficient and the free waiting time upper limit.
  • the order request information sent by the service receiver is received, and the free waiting time adjustment coefficient is determined based on the supply and demand tension parameters in the target area, and the free waiting time adjustment coefficient can then be used to determine the order Free waiting time.
  • the free waiting time adjustment coefficient is determined based on the supply and demand tension parameter of the target area to which the target location belongs in the order request information, and the free waiting time of the order is determined based on the free waiting time adjustment coefficient, the supply and demand tension based on the target area can be realized
  • the subsequent free waiting time based on the adjustment can encourage passengers to arrive at the pick-up point in advance or leave early, so as to reduce the waiting time of the driver and reduce the risk of the driver being punished for violation; To a certain extent, alleviate traffic congestion in densely populated areas.
  • FIG. 9 is a structural diagram of a device for determining waiting time according to another exemplary embodiment of the present application; wherein the order request receiving module 210, the adjustment coefficient determining module 220, and the waiting time determining module 230 are implemented as shown in FIG. 8
  • the order request receiving module 110, the adjustment coefficient determining module 120, and the waiting time determining module 130 have the same functions, and will not be repeated here.
  • the adjustment coefficient determining module 220 includes:
  • the supply and demand parameter determination unit 221 is configured to determine the supply and demand tension parameter of the target area when the service provider arrives at the target location;
  • the adjustment coefficient determining unit 222 is configured to determine a free waiting time adjustment coefficient based on the supply and demand tension parameter, and the supply and demand tension parameter is negatively related to the free waiting time adjustment coefficient.
  • the supply and demand parameter determination unit 221 is further configured to:
  • the supply and demand tension parameter of the target area is determined based on the number of people waiting.
  • the supply and demand parameter determination unit 221 is further configured to:
  • the supply and demand tension parameter of the target area is determined based on the order acceptance rate.
  • the waiting time determining module 230 is further configured to determine the free waiting time of the order based on the product of the free waiting time upper limit of the target location and the free waiting time adjustment coefficient.
  • the device further includes a first upper limit determination module 240; the first upper limit determination module 240 includes:
  • the law information acquiring unit 241 is configured to query the pre-stored correspondence data of the area identification information and the traffic law information based on the identification information of the target area to which the target location belongs, to obtain the traffic law information of the target area;
  • the first upper limit determination unit 242 is configured to determine the upper limit of the free waiting time of the target location based on the traffic law information.
  • the device further includes a second upper limit determination module 250; the second upper limit determination module 250 includes:
  • the image information acquiring unit 251 is configured to acquire road view image information of the target area to which the target location belongs;
  • the identification information identification unit 252 is configured to identify time-limited parking identification information from the road view image information
  • the second upper limit determination unit 253 is configured to determine the upper limit of the free waiting time of the target location based on the limited-time parking identification information.
  • the device further includes:
  • the prompt message pushing module 260 is configured to push a prompt message to the service receiver, the prompt message being used to prompt the service receiver to be charged a waiting fee for arriving at the target location after the free waiting time.
  • the embodiment of the apparatus for determining the waiting time of the present invention can be applied to a network device.
  • the device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a logical device, it is formed by reading the corresponding computer program instructions in the non-volatile memory into the memory through the processor of the device where it is located, and the computer program is used to execute the above The method for determining the waiting time provided by the embodiments shown in FIG. 1 to FIG. 7A. From a hardware perspective, as shown in Figure 10, it is a hardware structure diagram of the device for determining the waiting time of the present invention.
  • the The device can usually also include other hardware, such as a forwarding chip responsible for processing messages, etc.; in terms of hardware structure, the device may also be a distributed device, which may include multiple interface cards to perform message processing at the hardware level. Extension.
  • the present application also provides a computer-readable storage medium, the storage medium stores a computer program, and the computer program is used to execute the method for determining the waiting time provided by the embodiments shown in FIG. 1 to FIG. 7A.
  • the relevant part can refer to the part of the description of the method embodiment.
  • the device embodiments described above are merely illustrative.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network units.
  • Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present application. Those of ordinary skill in the art can understand and implement it without creative work.

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Abstract

L'invention porte sur une solution permettant de déterminer un temps d'attente qui consiste à : recevoir des informations de demande de commande envoyées par un destinataire de service, les informations de demande de commande comprenant un emplacement cible ; déterminer un coefficient d'ajustement de temps d'attente libre sur la base d'un paramètre d'intensité d'offre et de demande dans une région cible, la région cible comprenant une région à laquelle appartient l'emplacement cible ; et déterminer, sur la base du coefficient d'ajustement de temps d'attente libre, un temps d'attente libre pour la commande.
PCT/CN2019/125156 2019-05-28 2019-12-13 Détermination de temps d'attente WO2020238157A1 (fr)

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CN110210662A (zh) * 2019-05-28 2019-09-06 北京三快在线科技有限公司 一种确定等待时间的方法、装置、设备及存储介质
CN113112391A (zh) * 2020-01-10 2021-07-13 北京嘀嘀无限科技发展有限公司 一种订单处理方法及装置
CN111915043A (zh) * 2020-09-21 2020-11-10 北京嘀嘀无限科技发展有限公司 服务数据处理方法、装置、服务器及存储介质

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