WO2020238157A1 - 等待时间的确定 - Google Patents

等待时间的确定 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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Ceased
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PCT/CN2019/125156
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English (en)
French (fr)
Inventor
张默
王瑾瑄
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Beijing Sankuai Online Technology Co Ltd
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Beijing Sankuai Online Technology Co Ltd
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Publication of WO2020238157A1 publication Critical patent/WO2020238157A1/zh
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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

一种等待时间的确定方案，包括：接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；基于所述免费等待时间调整系数确定所述订单的免费等待时间。

Description

等待时间的确定 技术领域
本申请涉及数据处理技术领域，尤其涉及等待时间的确定。
背景技术
目前需要用户到达目标地点接收服务的业务(如网约车服务、外卖业务或快递业务)中，业务平台会基于订单中的地点为用户调度服务提供方。当服务提供方接单后，业务平台会为用户预估提供服务的时间以及免费等待时间，并通知用户和服务提供方。
发明内容
有鉴于此，本申请提供一种确定等待时间的方法、装置、设备及存储介质。
具体地，本申请是通过如下技术方案实现的：
根据本申请的第一方面，提出了一种确定等待时间的方法，包括：
接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；
基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；
基于所述免费等待时间调整系数确定所述订单的免费等待时间。
根据本申请的第二方面，提出了一种确定等待时间的装置，包括：
订单请求接收模块，用于接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；
调整系数确定模块，用于基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；
等待时间确定模块，用于基于所述免费等待时间调整系数确定所述订单的免费等待时间。
根据本申请的第三方面，提出了一种确定等待时间的设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中，所述处理器执行所述程序时实现上述任一所述的确定等待时间的方法。
根据本申请的第四方面，提出了一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序用于执行上述任一所述的确定等待时间的方法。
由以上技术方案可见，本申请通过接收服务接收方发送的订单请求信息，并基于目标区域的供需紧张度参数确定免费等待时间调整系数，进而可以基于所述免费等待时间调整系数确定所述订单的免费等待时间，由于是基于订单请求信息中目标地点所属的目标区域的供需紧张度参数确定免费等待时间调整系数，并基于该免费等待时间调整系数确定订单的免费等待时间，因而可以实现基于目标区域的供需紧张程度来动态调整订单请求的免费等待时间，进而可以实现后续基于调整的免费等待时间激励乘客提前到达上车点准备或提前出发，以减少司机等待时间，降低司机违规被处罚的风险；并且，可以一定程度上缓解人员密集区域的交通拥堵情况。
附图说明
图1是本申请一示例性实施例示出的一种确定等待时间的方法的流程图；
图2是本申请一示例性实施例示出的基于目标区域的供需紧张度参数确定免费等待时间调整系数的流程图；
图3是本申请一示例性实施例示出的确定服务提供方到达目标地点时目标区域的供需紧张度参数的流程图；
图4是本申请又一示例性实施例示出的确定服务提供方到达目标地点时目标区域的供需紧张度参数的流程图；
图5是本申请又一示例性实施例示出的一种确定等待时间的方法的流程图；
图6是本申请一示例性实施例示出的确定所述目标地点的免费等待时间上限的流程图；
图7A是本申请又一示例性实施例示出的确定所述目标地点的免费等待时间上限的流程图；
图7B是本申请一示例性实施例示出的目标区域的路景图像信息的示意图；
图8是本申请一示例性实施例示出的一种确定等待时间的装置的结构图；
图9是本申请又一示例性实施例示出的一种确定等待时间的装置的结构图；
图10是本申请一示例性实施例示出的一种确定等待时间的设备的结构图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本申请相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本申请的一些方面相一致的装置和方法的例子。
在本申请使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本申请。在本申请和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本申请可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本申请范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
以网约车服务为例，网约车平台在接到用户(即服务接收方)发送的打车订单后，会根据该订单中的目标地点为用户调度车辆。当确定接单车辆(即服务提供方)后，网约车平台会为乘客预估接驾时间和司机免费等待时间(即司机到达上车点后免费等待乘客的时间)，并通知用户和接单车辆。
免费等待时间通常是由业务平台制定的一个固定长度的时间。然而，在机场、火车站或者某些人员密集的区域，如果按照上述固定长度的免费时间等待乘客，司机可能需要冒着违规被处罚的风险，并且容易导致交通拥堵，降低司机的接驾效率，影响司乘双方的体验。
图1是本申请一示例性实施例示出的一种确定等待时间的方法的流程图；该实施例 可以用于平台服务端，其中，所述平台服务端可以包括一台服务器或多台服务器组成的服务器集群等。如图1所示，该方法包括步骤S101-S103：
在步骤S101中：接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点。
在一实施例中，服务端可以接收服务接收方发送的订单请求信息，该订单请求信息中可以包括目标地点。其中，该目标地点可以为与服务相关的地点，如提供全程服务的地点或开始提供服务的地点等，本实施例对此不进行限定。
在一实施例中，上述服务可以包括网约车服务、外卖服务或快递服务等，相应地，上述服务接收方包括请求相应服务的用户，而服务提供方包括提供相应服务的用户；并且，上述目标地点可以包括接驾地点、取餐地点或取快递的地点等，本实施例对此不进行限定。
在一实施例中，当用户需要平台服务端的某项服务时，可以通过智能手机等终端设备向平台服务端发送订单请求信息，进而平台服务端可以基于该订单请求信息确定目标地点。
在步骤S102中：基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域。
在一实施例中，当服务端接收服务接收方发送的订单请求信息，并基于所述订单请求信息确定目标地点后，可以确定该目标地点所属的目标区域，进而基于该目标区域的供需紧张度参数确定免费等待时间调整系数。
在一实施例中，上述目标区域可以为以上述目标地点为中心的周围预设区域；或者，可以为预先划分的包含上述目标地点的区域。
举例来说，当服务端接收到服务接收方发送的订单请求信息，并基于所述订单请求信息确定目标地点后，可以将该目标地点的坐标与预先划分的多个区域进行匹配，以将该多个区域中包含目标地点的坐标的区域确定为包含该目标地点的区域，即目标区域。
在一实施例中，上述供需紧张度参数可以由开发人员根据实际业务需要进行设置，如设置为对应区域的等待人数或接单率等，本实施例对此不进行限定。
在一实施例中，上述基于目标区域的供需紧张度参数确定免费等待时间调整系数的方式还可以参见下述图2所示实施例，在此先不进行详述。
在步骤S103中：基于所述免费等待时间调整系数确定所述订单的免费等待时间。
在一实施例中，当服务端基于目标区域的供需紧张度参数确定免费等待时间调整系数后，可以基于所述免费等待时间调整系数确定所述订单的免费等待时间。
在一实施例中，基于所述免费等待时间调整系数确定所述订单的免费等待时间包括基于所述免费等待时间调整系数和免费等待时间上限确定所述订单的免费等待时间。
在一实施例中，当服务端基于目标区域的供需紧张度参数确定免费等待时间调整系数后，可以基于所述免费等待时间调整系数调整免费等待时间上限，并将调整结果确定为所述订单的免费等待时间。
在一实施例中，所述免费等待时间上限可以为上述目标区域内预先设置好的免费等待时间，例如为所述目标区域的交通法规规定的最长等待时间等，本实施例对此不进行限定。
在一实施例中，上述基于所述免费等待时间调整系数确定所述订单的免费等待时间的方式还可以参见下述图5所示实施例，在此先不进行详述。
由上述描述可知，本实施例通过接收服务接收方发送的订单请求信息，并基于目标区域的供需紧张度参数确定免费等待时间调整系数，进而可以基于所述免费等待时间调整系数确定所述订单的免费等待时间。由于是基于订单请求信息中目标地点所属的目标区域的供需紧张度参数确定免费等待时间调整系数，并基于该免费等待时间调整系数确定订单的免费等待时间，因而可以实现基于目标区域的供需紧张程度来动态调整订单的免费等待时间，进而可以实现后续基于调整的免费等待时间激励乘客提前到达上车点准备或提前出发，以减少司机等待时间，降低司机违规被处罚的风险；并且，可以一定程度上缓解人员密集区域的交通拥堵情况。
图2是本申请一示例性实施例示出的基于目标区域的供需紧张度参数确定免费等待时间调整系数的流程图；本实施例在上述实施例的基础上，以基于目标区域的供需紧张度参数确定免费等待时间调整系数为例进行示例性说明。如图2所示，上述步骤S102中所述基于目标区域的供需紧张度参数确定免费等待时间调整系数，可以包括以下步骤S201-S202：
在步骤S201中，确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数。
在一实施例中，当服务端接收服务接收方发送的订单请求信息，并基于该订单请求 信息确定目标地点后，可以确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数。
值得说明的是，目标区域的供需紧张度参数通常是变化的，如果确定服务接收方发送上述订单请求信息时刻的供需紧张度参数，则当服务接收方到达目标地点时，上述目标区域的供需紧张度参数可能已经发生改变，导致无法准确计算订单的免费等待时间。因此，为了提高计算订单的免费等待时间的准确性，可以预估所述服务提供方在“到达所述目标地点时”所述目标区域的供需紧张度参数。
在一实施例中，上述确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数的方式还可以参见下述图3或图4所示实施例，在此先不进行详述。
在步骤S202中，基于所述供需紧张度参数确定免费等待时间调整系数。
在一实施例中，当服务端确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数后，可以基于所述供需紧张度参数确定免费等待时间调整系数。
值得说明的是，为了实现基于目标区域的供需紧张程度来合理地调整订单的免费等待时间，可以令所述供需紧张度参数与所述免费等待时间调整系数呈负相关，例如，供需紧张度参数的数值越大(即，供需越紧张)，则免费等待时间调整系数越低(即，将免费等待时间调整的越短)。
由上述描述可知，本实施例通过确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，并基于所述供需紧张度参数确定免费等待时间调整系数。由于确定的是服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，因而可以基于该时刻的供需紧张度参数确定相应的免费等待时间调整系数，并且令供需紧张度参数与免费等待时间调整系数呈负相关，从而可以提高确定免费等待时间调整系数的准确性，使确定的免费等待时间调整系数更符合实时需求。
图3是本申请一示例性实施例示出的确定服务提供方到达目标地点时目标区域的供需紧张度参数的流程图；本实施例在上述实施例的基础上，以确定服务提供方到达目标地点时目标区域的供需紧张度参数为例进行示例性说明。如图3所示，上述步骤S201中所述确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，可以包括以下步骤S301-S302：
在步骤S301中，预估服务提供方到达所述目标地点时所述目标区域的等待人数。
在一实施例中，当服务端确定服务接收方发送的订单请求信息中的目标地点时，可 以预估服务提供方到达所述目标地点时所述目标区域的等待人数。
举例来说，当服务端接收到服务接收方“甲”发送的订单请求信息中的目标地点“A”时，可以预估服务提供方“乙”到达目标地点“A”时目标区域的等待人数，例如“12”。
在步骤S302中，基于所述等待人数确定所述目标区域的供需紧张度参数。
在一实施例中，当服务端预估服务提供方到达所述目标地点时所述目标区域的等待人数后，可以基于该等待人数确定所述目标区域的供需紧张度参数。
在一实施例中，可以计算上述等待人数与预设人数阈值的比值，并将该比值确定为上述目标区域的供需紧张度参数。
值得说明的是，上述预设人数阈值可以由开发人员采用现有技术中的算法进行计算，或者直接根据业务经验进行设置，如设置为“10”人等，本实施例对此不进行限定。仍以步骤S301中等待人数为“12”人为例，则可以将该等待人数“12”与预设人数阈值“10”的比值“1.2”确定为上述目标区域的供需紧张度参数。
由上述描述可知，本实施例通过预估服务提供方到达所述目标地点时所述目标区域的等待人数，并基于所述等待人数确定所述目标区域的供需紧张度参数，可以相对准确地确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，进而可以为后续基于该供需紧张度参数确定免费等待时间调整系数奠定基础。
图4是本申请又一示例性实施例示出的确定服务提供方到达目标地点时目标区域的供需紧张度参数的流程图；本实施例在上述实施例的基础上，以确定服务提供方到达目标地点时目标区域的供需紧张度参数为例进行示例性说明。如图4所示，上述步骤S201中所述确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，可以包括以下步骤S401-S402：
在步骤S401中，预估服务提供方到达所述目标地点时所述目标区域的接单率。
在一实施例中，当服务端确定服务接收方发送的订单请求信息中的目标地点时，可以预估服务提供方到达所述目标地点时所述目标区域的接单率。
举例来说，当服务端接收到服务接收方“甲”发送的订单请求信息中的目标地点“A”时，可以预估服务提供方“乙”到达目标地点“A”时目标区域的接单率，例如“0.5”。
在步骤S402中，基于所述接单率确定所述目标区域的供需紧张度参数。
在一实施例中，当服务端预估服务提供方到达所述目标地点时所述目标区域的接单 率后，可以基于该接单率确定所述目标区域的供需紧张度参数。
在一实施例中，可以计算预设接单率阈值与上述接单率的比值，并将该比值确定为上述目标区域的供需紧张度参数。
值得说明的是，上述预设接单率阈值可以由开发人员采用现有技术中的算法进行计算，或者直接根据业务经验进行设置，如设置为“0.6”等，本实施例对此不进行限定。仍以步骤S401中接单率为“0.5”为例，则可以将该预设接单率阈值与上述接单率的比值“1.2”确定为上述目标区域的供需紧张度参数。
由上述描述可知，本实施例预估服务提供方到达所述目标地点时所述目标区域的接单率，并基于所述接单率确定所述目标区域的供需紧张度参数，可以相对准确地确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，进而可以为后续基于该供需紧张度参数确定免费等待时间调整系数奠定基础。
图5是本申请又一示例性实施例示出的一种确定等待时间的方法的流程图；该实施例可以用于平台服务端，其中，所述平台服务端可以包括一台服务器或多台服务器组成的服务器集群等。如图5所示，该方法包括步骤S501-S504：
在步骤S501中：接收服务接收方发送的订单请求信息。
其中，所述订单请求信息包括目标地点；
在步骤S502中：基于目标区域的供需紧张度参数确定免费等待时间调整系数。
其中，所述目标区域包括所述目标地点所属的区域。
在步骤S503中：基于所述目标地点的免费等待时间上限与所述免费等待时间调整系数的乘积确定所述订单的免费等待时间。
在一实施例中，服务端确定上述目标区域的免费等待时间调整系数后，可以获取目标地点的免费等待时间上限，进而可以基于所述目标地点的免费等待时间上限与所述免费等待时间调整系数的乘积确定所述订单的免费等待时间。
在一实施例中，所述免费等待时间上限可以为上述目标区域内预先设置好的最长免费等待时间，例如为所述目标区域的交通法规规定的最长等待时间等，本实施例对此不进行限定。
在另一实施例中，上述获取目标地点的免费等待时间上限的方式可以参见下述图6或图7A所示实施例，在此先不进行详述。
在步骤S504中：向所述服务接收方推送提示消息。
其中，所述提示消息用于提示所述服务接收方超过所述免费等待时间到达所述目标地点将会被收取等待费。
在一实施例中，当服务端基于所述免费等待时间调整系数确定所述订单的免费等待时间后，可以向所述服务接收方推送提示消息，以提示所述服务接收方超过所述免费等待时间到达所述目标地点将会被收取等待费。
以网约车服务为例，当网约车平台服务端确定上述订单的免费等待时间(例如，5分钟等)后，可以向服务接收方(如，乘客)推送提示信息，以提示乘客超过5分钟到达目标地点将会被收取等待费。
值得说明的是，上述提示消息的内容和形式可以由开发人员根据实际需要进行自由设置，本实施例对此不进行限定。
由上述描述可知，本实施例通过基于所述目标地点的免费等待时间上限与所述免费等待时间调整系数的乘积确定所述订单的免费等待时间，可以实现相对准确地确定订单的免费等待时间，并且通过向所述服务接收方推送提示消息的方式可以实现基于确定的免费等待时间激励乘客提前到达上车点准备或提前出发，以减少司机等待时间，降低司机违规被处罚的风险，并可以在一定程度上缓解人员密集区域的交通拥堵情况。
图6是本申请一示例性实施例示出的确定所述目标地点的免费等待时间上限的流程图；本实施例在上述实施例的基础上以确定所述目标地点的免费等待时间上限为例进行示例性说明。如图6所示，图5所示实施例的方法还包括预先基于以下步骤S601-S602确定所述目标地点的免费等待时间上限：
在步骤S601中，基于所述目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息。
在一实施例中，服务端可以预先存储各个区域标识信息与交通法规信息的对应关系数据。
在此基础上，当确定上述目标地点所属的目标区域后，可以基于该目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息。
举例来说，服务端预先存储的各个区域标识信息与交通法规信息的对应关系数据， 如下表一所示：
表一
区域标识信息 M Z K S
交通法规信息 法规a 法规b 法规d 法规a
如表一所示，当确定上述目标地点所属的目标区域S后，可以基于该目标区域的标识信息“S”，查询表一中预先存储的各个区域标识信息与交通法规信息的对应关系数据，得到该目标区域“S”的交通法规信息“法规a”，其中，该“法规a”中记录有目标区域内各个地点(如，目标地点)的免费等待时间上限。
在步骤S602中，基于所述交通法规信息确定所述目标地点的免费等待时间上限。
在一实施例中，当服务端基于所述目标地点所属的目标区域的标识信息，查询到所述目标区域的交通法规信息后，可以基于所述交通法规信息确定所述目标地点的免费等待时间上限。
举例来说，当服务端得到目标区域“S”的交通法规信息“法规a”后，可以对该“法规a”进行解析，得到目标地点的免费等待时间上限。
值得说明的是，上述对交通法规信息进行解析得到目标地点的免费等待时间上限的方式可以参见现有技术，本实施例对此不进行限定。
由上述描述可知，本实施例通过基于所述目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息，并基于所述交通法规信息确定所述目标地点的免费等待时间上限，可以实现相对准确地确定所述目标地点的免费等待时间上限，进而可以为后续基于该免费等待时间上限与免费等待时间调整系数确定所述订单的免费等待时间提供依据。
图7A是本申请一示例性实施例示出的确定所述目标地点的免费等待时间上限的流程图；本实施例在上述实施例的基础上以确定所述目标地点的免费等待时间上限为例进行示例性说明。
如图7A所示，图5所示实施例的方法还包括预先基于以下步骤S701-S703确定所述目标地点的免费等待时间上限：
在步骤S701中，获取所述目标地点所属的目标区域的路景图像信息。
在一实施例中，服务端可以预先获取所述目标地点所属的目标区域的路景图像 信息。
举例来说，图7B示出了本申请一示例性实施例示出的目标区域的路景图像信息的示意图。如图7B所示，该路景图像信息中包括当前区域的限时停车标识信息“限时8分钟”。
在步骤S702中，从所述路景图像信息中识别限时停车标识信息。
在一实施例中，当获取所述目标地点所属的目标区域的路景图像信息后，可以从所述路景图像信息中识别限时停车标识信息。
在一实施例中，上述从图7B所示的路景图像信息中识别出限时停车标识信息“限时8分钟”的方式可以由开发人员根据业务需求从现有技术中选取，本实施例对具体的图像识别方式不进行限定。
在步骤S703中，基于所述限时停车标识信息确定所述目标地点的免费等待时间上限。
在一实施例中，当服务端从所述路景图像信息中识别限时停车标识信息后，可以基于所述限时停车标识信息确定所述目标地点的免费等待时间上限。
在一实施例中，可以将上述限时停车标识信息中限时时间的全部或部分(如，8分钟或6分钟)确定为所述目标地点的免费等待时间上限。
由上述描述可知，本实施例通过获取所述目标地点所属的目标区域的路景图像信息，并从所述路景图像信息中识别限时停车标识信息，进而基于所述限时停车标识信息确定所述目标地点的免费等待时间上限，可以实现准确地确定所述目标地点的免费等待时间上限，进而可以为后续基于该免费等待时间上限与免费等待时间调整系数确定所述订单的免费等待时间提供依据。
图8是本申请一示例性实施例示出的一种确定等待时间的装置的结构图；如图8所示，该装置包括：订单请求接收模块110、调整系数确定模块120和等待时间确定模块130，其中：
订单请求接收模块110，用于接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；
调整系数确定模块120，用于基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；
等待时间确定模块130，用于基于所述免费等待时间调整系数确定所述订单的免费等待时间。
在一实施例中，等待时间确定模块130基于所述免费等待时间调整系数和免费等待时间上限确定所述订单的免费等待时间。
由上述描述可知，本实施例通过接收服务接收方发送的订单请求信息，并基于目标区域的供需紧张度参数确定免费等待时间调整系数，进而可以基于所述免费等待时间调整系数确定所述订单的免费等待时间。由于是基于订单请求信息中目标地点所属的目标区域的供需紧张度参数确定免费等待时间调整系数，并基于该免费等待时间调整系数确定订单的免费等待时间，因而可以实现基于目标区域的供需紧张程度来动态调整订单请求的免费等待时间，进而可以实现后续基于调整的免费等待时间激励乘客提前到达上车点准备或提前出发，以减少司机等待时间，降低司机违规被处罚的风险；并且，可以一定程度上缓解人员密集区域的交通拥堵情况。
图9是本申请又一示例性实施例示出的一种确定等待时间的装置的结构图；其中，订单请求接收模块210、调整系数确定模块220和等待时间确定模块230与前述图8所示实施例中的订单请求接收模块110、调整系数确定模块120和等待时间确定模块130的功能相同，在此不进行赘述。
在一实施例中，调整系数确定模块220，包括：
供需参数确定单元221，用于确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数；
调整系数确定单元222，用于基于所述供需紧张度参数确定免费等待时间调整系数，所述供需紧张度参数与所述免费等待时间调整系数呈负相关。
在一实施例中，供需参数确定单元221，还用于：
预估服务提供方到达所述目标地点时所述目标区域的等待人数；
基于所述等待人数确定所述目标区域的供需紧张度参数。
在另一实施例中，供需参数确定单元221，还用于：
预估服务提供方到达所述目标地点时所述目标区域的接单率；
基于所述接单率确定所述目标区域的供需紧张度参数。
在一实施例中，等待时间确定模块230还用于基于所述目标地点的免费等待时 间上限与所述免费等待时间调整系数的乘积确定所述订单的免费等待时间。
在一实施例中，装置还包括第一上限确定模块240；第一上限确定模块240，包括：
法规信息获取单元241，用于基于所述目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息；
第一上限确定单元242，用于基于所述交通法规信息确定所述目标地点的免费等待时间上限。
在另一实施例中，装置还包括第二上限确定模块250；第二上限确定模块250，包括：
图像信息获取单元251，用于获取所述目标地点所属的目标区域的路景图像信息；
标识信息识别单元252，用于从所述路景图像信息中识别限时停车标识信息；
第二上限确定单元253，用于基于所述限时停车标识信息确定所述目标地点的免费等待时间上限。
在一实施例中，装置还包括：
提示消息推送模块260，用于向所述服务接收方推送提示消息，所述提示消息用于提示所述服务接收方超过所述免费等待时间到达所述目标地点将会被收取等待费。
值得说明的是，上述所有可选技术方案，可以采用任意结合形成本公开的可选实施例，在此不再一一赘述。
本发明的确定等待时间的装置的实施例可以应用在网络设备上。装置实施例可以通过软件实现，也可以通过硬件或者软硬件结合的方式实现。以软件实现为例，作为一个逻辑意义上的装置，是通过其所在设备的处理器将非易失性存储器中对应的计算机程序指令读取到内存中运行形成的，其中计算机程序用于执行上述图1～图7A所示实施例提供的确定等待时间的方法。从硬件层面而言，如图10所示，为本发明的确定等待时间的设备的硬件结构图，除了图10所示的处理器、网络接口、内存以及非易失性存储器之外，所述设备通常还可以包括其他硬件，如负责处理报文的转发芯片等等；从硬件结构上来讲该设备还可能是分布式的设备，可能包括多个接口卡，以便在硬件层面进 行报文处理的扩展。另一方面，本申请还提供了一种计算机可读存储介质，存储介质存储有计算机程序，计算机程序用于执行上述图1～图7A所示实施例提供的确定等待时间的方法。
对于装置实施例而言，由于其基本对应于方法实施例，所以相关之处参见方法实施例的部分说明即可。以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本申请方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本申请的其它实施方案。本申请旨在涵盖本申请的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本申请的一般性原理并包括本申请未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本申请的真正范围和精神由下面的权利要求指出。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
以上所述仅为本申请的较佳实施例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内。

Claims (20)

  1. 一种确定等待时间的方法，包括：
    接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；
    基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；
    基于所述免费等待时间调整系数确定所述订单的免费等待时间。
  2. 根据权利要求1所述的方法，其特征在于，基于所述目标区域的供需紧张度参数确定所述免费等待时间调整系数，包括：
    确定服务提供方到达所述目标地点时所述目标区域的所述供需紧张度参数；
    基于所述供需紧张度参数确定所述免费等待时间调整系数，所述供需紧张度参数与所述免费等待时间调整系数呈负相关。
  3. 根据权利要求2所述的方法，其特征在于，确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，包括：
    预估所述服务提供方到达所述目标地点时所述目标区域的等待人数；
    基于所述等待人数确定所述目标区域的所述供需紧张度参数。
  4. 根据权利要求2所述的方法，其特征在于，确定服务提供方到达所述目标地点时所述目标区域的供需紧张度参数，包括：
    预估所述服务提供方到达所述目标地点时所述目标区域的接单率；
    基于所述接单率确定所述目标区域的所述供需紧张度参数。
  5. 根据权利要求1所述的方法，其特征在于，基于所述免费等待时间调整系数确定所述订单的免费等待时间，包括：
    基于所述免费等待时间调整系数和免费等待时间上限确定所述订单的免费等待时间。
  6. 根据权利要求5所述的方法，其特征在于，基于所述免费等待时间调整系数和免费等待时间上限确定所述订单的免费等待时间，包括：
    基于所述目标地点的免费等待时间上限与所述免费等待时间调整系数的乘积确定所述订单的所述免费等待时间。
  7. 根据权利要求6所述的方法，还包括基于以下步骤确定所述目标地点的所述免费等待时间上限：
    基于所述目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息；
    基于所述交通法规信息确定所述目标地点的所述免费等待时间上限。
  8. 根据权利要求6所述的方法，还包括基于以下步骤确定所述目标地点的所述免费等待时间上限：
    获取所述目标地点所属的目标区域的路景图像信息；
    从所述路景图像信息中识别限时停车标识信息；
    基于所述限时停车标识信息确定所述目标地点的所述免费等待时间上限。
  9. 根据权利要求1-8任一项所述的方法，还包括：
    向所述服务接收方推送提示消息，所述提示消息用于提示所述服务接收方超过所述免费等待时间到达所述目标地点将会被收取等待费。
  10. 一种确定等待时间的装置，包括：
    订单请求接收模块，用于接收服务接收方发送的订单请求信息，所述订单请求信息包括目标地点；
    调整系数确定模块，用于基于目标区域的供需紧张度参数确定免费等待时间调整系数，所述目标区域包括所述目标地点所属的区域；
    等待时间确定模块，用于基于所述免费等待时间调整系数确定所述订单的免费等待时间。
  11. 根据权利要求10所述的装置，其特征在于，所述调整系数确定模块包括：
    供需参数确定单元，确定服务提供方到达所述目标地点时所述目标区域的所述供需紧张度参数；
    调整系数确定单元，基于所述供需紧张度参数确定所述免费等待时间调整系数，所述供需紧张度参数与所述免费等待时间调整系数呈负相关。
  12. 根据权利要求11所述的装置，其特征在于，所述供需参数确定单元预估所述 服务提供方到达所述目标地点时所述目标区域的等待人数；并
    基于所述等待人数确定所述目标区域的所述供需紧张度参数。
  13. 根据权利要求11所述的装置，其特征在于，所述供需参数确定单元预估所述服务提供方到达所述目标地点时所述目标区域的接单率；并
    基于所述接单率确定所述目标区域的所述供需紧张度参数。
  14. 根据权利要求10所述的装置，其特征在于，所述等待时间确定模块基于所述免费等待时间调整系数和免费等待时间上限确定所述订单的免费等待时间。
  15. 根据权利要求14所述的装置，其特征在于，所述等待时间确定模块基于所述目标地点的免费等待时间上限与所述免费等待时间调整系数的乘积确定所述订单的所述免费等待时间。
  16. 根据权利要求10所述的装置，还包括第一上限确定模块，包括：
    法规信息获取单元，基于所述目标地点所属的目标区域的标识信息，查询预先存储的区域标识信息与交通法规信息的对应关系数据，得到所述目标区域的交通法规信息；和
    第一上限确定单元，基于所述交通法规信息确定所述目标地点的所述免费等待时间上限。
  17. 根据权利要求16所述的装置，还包括第二上限确定模块，包括：
    图像信息获取单元，获取所述目标地点所属的目标区域的路景图像信息；
    标识信息识别单元，从所述路景图像信息中识别限时停车标识信息；和
    第二上限确定单元，基于所述限时停车标识信息确定所述目标地点的所述免费等待时间上限。
  18. 根据权利要求10-17任一项所述的装置，还包括：
    提示消息推送模块，向所述服务接收方推送提示消息，所述提示消息用于提示所述服务接收方超过所述免费等待时间到达所述目标地点将会被收取等待费。
  19. 一种确定等待时间的设备，包括存储器、处理器及存储在所述存储器上并可在 所述处理器上运行的计算机程序，其中，所述处理器执行所述程序时实现上述权利要求1-9任一所述的确定等待时间的方法。
  20. 一种计算机可读存储介质，存储有计算机程序，所述计算机程序用于执行上述权利要求1-9任一所述的确定等待时间的方法。
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