CN114266627A

CN114266627A - Travel order distribution method, electronic device and computer storage medium

Info

Publication number: CN114266627A
Application number: CN202111581059.0A
Authority: CN
Inventors: 石磊; 张旸; 冀晨光
Original assignee: Alibaba Singapore Holdings Pte Ltd
Current assignee: Alibaba Innovation Co
Priority date: 2021-12-22
Filing date: 2021-12-22
Publication date: 2022-04-01

Abstract

The embodiment of the application provides a travel order distribution method, electronic equipment and a computer storage medium, wherein the travel order distribution method comprises the following steps: the method comprises the steps that a trip order sent by a trip object is received through a first trip platform, wherein the first trip platform is a polymerization platform which is polymerized with a plurality of second trip platforms; sending the travel orders to the second travel platforms, and receiving information of the travel service providers returned by the second travel platforms in response to the travel orders; determining the time for opening the preferred time window according to the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives; and allocating a travel service provider to the travel order through the preferred time window. Through the embodiment of the application, the travel orders can be reasonably distributed, and the travel experience of the travel object is improved.

Description

Travel order distribution method, electronic device and computer storage medium

Technical Field

The embodiment of the application relates to the technical field of computers, in particular to a travel order allocation method, electronic equipment and a computer storage medium.

Background

With the development of intelligent transportation technology, more and more people rely on a travel platform (also called a travel platform) to travel by bus. In the travel scene, the travel platform obtains information of corresponding travel service providers (drivers) from different travel service providers according to travel orders of travel objects (passengers) so as to feed the information back to the travel objects.

At present, a common way for feeding back information of a travel service provider is that, on a travel platform, a first travel service provider responding to a travel order triggers a preferred time window (a fixed time window set for performing spelling among a plurality of travel service providers responding to the travel order to determine a travel service provider finally providing travel service) to be opened, and in a time period of the preferred time window, each responding travel service provider compares service quality (such as estimated order probability), and a person with good service quality wins the trip service provider. That is, the travel order is distributed to the winning travel service provider. However, because the time for different travel service providers to return to the travel service provider and the quality of service of the travel service provider are different, there may not be a travel service provider with better quality of service within the triggered preferred time window, and at the same time, the travel service provider with better quality of service may miss to respond to the travel order due to the closing of the preferred time window.

Therefore, the travel orders cannot be reasonably distributed, and the travel object cannot obtain a travel service provider with good service quality, so that the travel experience of the travel object is reduced.

Disclosure of Invention

In view of the above, the present application provides a travel order allocation scheme to at least partially solve the above problems.

According to a first aspect of the embodiments of the present application, there is provided a travel order allocation method, including: the method comprises the steps that a trip order sent by a trip object is received through a first trip platform, wherein the first trip platform is a polymerization platform which is polymerized with a plurality of second trip platforms; sending the travel orders to the second travel platforms, and receiving information of the travel service providers returned by the second travel platforms in response to the travel orders; determining the time for opening the preferred time window according to the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives; and allocating a travel service provider to the travel order through the preferred time window.

According to a second aspect of the embodiments of the present application, there is provided another travel order allocation method, including: the method comprises the steps of receiving travel information input by a travel object, and generating a travel order according to the travel information; sending the travel order to a first travel platform, so that the first travel platform sends the travel order to a plurality of second travel platforms aggregated to the first travel platform and receives travel service provider information fed back by the plurality of second travel platforms for the travel order, determining a time for opening a preferred time window according to the travel service provider information and preset preferred window opening conditions, and opening the preferred time window when the time arrives, so as to allocate a travel service provider to the travel order through the preferred time window; and receiving the information of the travel service provider distributed for the travel order fed back by the first travel platform.

According to a third aspect of the embodiments of the present application, there is provided a travel order allocation method, including: the method comprises the steps of receiving a travel order sent by a second travel platform, wherein the travel order is received by the second travel platform from a first travel platform, and a plurality of second travel platforms are aggregated in the first travel platform; generating a response message according to the operation of the trip service provider on the trip order, wherein the response message carries the information of the trip service provider; feeding back the response message to the second trip platform, so that the second trip platform feeds back the information of the trip service provider to the first trip platform according to the response message, and determining the time for opening a preferred time window through the first trip platform based on the information of the trip service provider and a preset preferred window opening condition, so as to open the preferred time window when the time arrives, and allocating the trip service provider to the trip order through the preferred time window.

According to a fourth aspect of embodiments of the present application, there is provided an electronic apparatus, including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the travel order allocation method according to the first aspect, the second aspect or the third aspect.

According to a fifth aspect of embodiments of the present application, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a travel order allocation method as set forth in the first or second or third aspect.

According to a sixth aspect of embodiments of the present application, there is provided a computer program product comprising computer instructions for instructing a computing device to perform operations corresponding to the travel order allocation method according to the first aspect, the second aspect, or the third aspect.

According to the travel order allocation scheme provided by the embodiment of the application, on one hand, a plurality of other travel platforms, namely a plurality of second travel platforms, are aggregated in the first travel platform, when a travel object needs to travel, a travel order is sent to the first travel platform, and the travel order is sent to the plurality of second travel platforms by the first travel platform, so that more information of candidate travel service providers capable of providing services is obtained, and faster and better travel services are provided for the travel object. On the other hand, unlike the conventional method in which the first travel service provider (such as a driver) responding to a travel order directly triggers the opening of the preferred time window without considering the specific service condition of the travel service provider, in the embodiment of the present invention, whether the opening of the preferred time window can be triggered by the travel service provider is evaluated according to the information of the travel service provider and the preset preferred time window opening condition. Therefore, the opening timing of the preferred time window can be ensured, so that the trip service provider meeting the basic service requirement can open the preferred time window. Therefore, on one hand, a better travel service provider can be selected in a preferred time window; on the other hand, the method also provides an opportunity for the trip service provider with slow response time and better service to respond to the trip order. Furthermore, the travel orders can be reasonably distributed, and the travel experience of the travel objects (such as passengers) is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present application, and other drawings can be obtained by those skilled in the art according to the drawings.

Fig. 1 is a schematic structural diagram of a travel order allocation system according to an embodiment of the present application;

fig. 2 is a flowchart illustrating steps of a travel order allocation method according to a first embodiment of the present application;

fig. 3A is a flowchart illustrating steps of a travel order allocation method according to a second embodiment of the present application;

FIG. 3B is a schematic diagram illustrating a travel order allocation process in the embodiment shown in FIG. 3A;

FIG. 3C is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 3A;

fig. 4 is a flowchart illustrating steps of a travel order allocation method according to a third embodiment of the present application;

fig. 5A is a flowchart illustrating steps of a travel order allocation method according to a fourth embodiment of the present application;

FIG. 5B is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 5A;

fig. 6A is a flowchart illustrating steps of a travel order allocation method according to a fifth embodiment of the present application;

FIG. 6B is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 6A;

fig. 7 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present application.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the protection of the embodiments in the present application.

The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.

To facilitate the description of the travel order allocation scheme provided in the embodiment of the present application, an exemplary system architecture to which the scheme is applicable is first described below, as shown in fig. 1.

In fig. 1, the first row platform is an aggregation platform, which has access to a plurality of second row platforms (illustrated as second row platforms 1 and 2 … … N), and each of the second row platforms may be considered as a sub-platform of the first row platform. For each second travel platform, it may have access to one or more (two or more) travel service providers (three are shown as an example), each of which has a certain number of travel service providers (drivers) (n are shown in the figure), so that the first travel platform may aggregate more travel service providers, on the one hand, to provide faster and better service for the travel subject (travel user), and on the other hand, to provide more service opportunities for the travel service provider (driver). In addition, the realization cost of the second trip platform can be effectively reduced, and the second trip platform can provide trip service with quality guarantee to the outside without complex functions such as a preferred time window opening opportunity determination function or an ending probability estimation function of a trip server.

For a trip object, when the trip object needs to trip, the trip object can operate an interface (such as an application interface and the like) provided by the first trip platform through the trip terminal to send a trip order; after the first trip platform receives the trip order, the first trip platform will distribute the trip order to a plurality of second trip platforms aggregated by the first trip platform. After receiving the travel order, each second travel platform sends the travel order to the travel service provider signed with the second travel platform, and finally, each travel service provider sends the travel order to the travel service provider signed with the second travel platform. Furthermore, according to the response of the travel service provider to the travel order, the travel order is fed back to the first travel platform step by step through the travel service provider- → second travel platform- → first travel platform- → travel object, that is, through the above-mentioned path, and finally the timing for opening the preferred time window is determined by the first travel platform, and the final travel service provider is allocated to the travel order through the preferred time window and fed back to the travel object.

It should be noted that, in practical applications, the first travel platform may be deployed on a server or a server cluster, and in this case, the server or the server cluster may also be considered as the first travel platform. But not limited to this, first trip platform also can dispose in the high in the clouds, and under this kind of condition, the cloud end software and hardware setting that has the function that above-mentioned first trip platform realized also can be regarded as first trip platform.

Similarly, each second travel platform may also be deployed in a server or a server cluster or a cloud, and the corresponding software and hardware settings may be considered as the second travel platform.

The travel order processing scheme based on the above architecture is explained in the following through a plurality of embodiments.

Example one

Referring to fig. 2, a flowchart illustrating steps of a travel order allocation method according to a first embodiment of the present application is shown.

The travel order allocation method of the embodiment comprises the following steps:

step S102: and receiving a travel order sent by the travel object through the first travel platform.

The first trip platform is a polymerization platform which is polymerized with a plurality of second trip platforms.

As mentioned above, the first travel platform is an aggregation platform that aggregates a plurality of second travel platforms. The travel order sent by the travel object at least comprises the following components: basic travel information such as a travel departure place, a travel destination, travel time, travel object identification and the like.

Step S104: and sending the travel orders to the second travel platforms, and receiving the information of the travel service provider returned by the second travel platforms in response to the travel orders.

As mentioned above, the travel order may be sent to a plurality of second travel platforms via the first travel platform, and each second travel platform is sent to the travel service provider signed with the second travel platform, and then sent to the travel service provider by the travel service provider. If the travel service provider is willing to provide service for the travel order, corresponding operation is carried out so as to feed the information of the travel service provider to the first travel platform step by step through the travel service provider and the second travel platform.

Because the travel order needs the travel service provider to respond and decide whether the travel service can be provided, the time of the information of the travel service provider returned to the first travel platform by the travel service provider through the second travel platform is different according to the response time of the travel service provider.

Generally, the information of the travel service provider includes, but is not limited to: vehicle information (such as license plate number, vehicle type, vehicle make and model, etc.), information of a travel service provider to which the travel service provider belongs, and the like. The embodiment of the present application does not limit the specific content of the information of the travel service provider.

Step S106: and determining the time for opening the preferred time window according to the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives.

The preferred time window is a fixed time window set for comparing and selecting among a plurality of travel service providers responding to the travel order and finally determining the travel service provider providing the travel service. The specific duration setting of the fixed time window can be set by a person skilled in the art according to actual needs, for example, the setting is set to 3 seconds, and the embodiment of the present application does not limit this.

In the conventional manner, regardless of the service conditions (such as service quality, trip order cancellation rate, etc.) provided by the first trip service provider responding to the trip order, the preferred time window is triggered to be opened, so that the served trip service provider may miss the opportunity of responding to the trip order, or the better served trip service provider cannot be provided to the trip subject. In this embodiment, in addition to fully considering information of the travel service provider, a preferred time window opening condition is further set to indicate at what timing to trigger opening of the preferred time window, where the condition includes, but is not limited to: conditions based on the service assessment of the travel service provider, conditions based on the service assessment of the second travel platform, and the like.

In one possible approach, the conditions based on the service assessment of the travel service provider include, but are not limited to: the service quality data of the travel service provider meet the preset service quality standard; or the quantity of the information refusing the travel service provider is within a preset quantity range; or the waiting time for the travel order is within a preset time range, and the like.

Under the condition of opening the optimal window, the service quality data of the first trip service provider is fully considered, and a proper time for triggering the opening of the optimal time window can be determined, so that the trip service provider with better service quality can be found through the optimal time window opened at the time as far as possible, the trip object can be prevented from waiting for too long time, and the trip experience is reduced.

In another possible approach, the conditions based on the service assessment of the second travel platform include, but are not limited to: the service quality data of the second trip platform meets a preset service quality standard, and/or the response time of the second trip platform responding to the trip order is within a preset time range, and the like.

Under the condition of opening the optimal window, the service quality of the platform is considered by taking the trip platform as a unit, so that the service quality of the second trip platform can be integrally improved, and fair platforms and screening of trip service providers fed back by the platforms can be realized.

Step S108: and allocating the travel service provider for the travel order through the preferred time window.

Because the preferred time window is triggered to be opened by a certain travel service provider, after the preferred time window is opened, a plurality of travel service providers including the travel service provider, which respond to the travel order before the preferred time window is closed and have response time behind the travel service provider, compare the service quality, and the person with good service wins and is allocated to the travel order. After the preferred time window is opened, the comparison among the plurality of travel service providers can be implemented by referring to a specific implementation manner in the related art, and details are not repeated herein.

In the embodiments of the present application, the terms "a number" and "a number" mean two or more unless otherwise specified.

It can be seen that, according to the embodiment, on one hand, a plurality of other trip platforms, that is, a plurality of second trip platforms, are aggregated in the first trip platform, and when a trip object needs to trip, a trip order is sent to the first trip platform, and the trip order is sent to the plurality of second trip platforms by the first trip platform, so as to obtain more information of candidate trip service providers capable of providing services, and provide faster and better trip services for the trip object. On the other hand, unlike the conventional method in which the first travel service provider (such as a driver) responding to a travel order directly triggers the opening of the preferred time window without considering the specific service condition of the travel service provider, in the present embodiment, whether the opening of the preferred time window can be triggered by the travel service provider is evaluated according to the information of the travel service provider and the preset preferred time window opening condition. Therefore, the starting time of the preferred time window can be ensured, so that the trip service provider meeting the basic service requirement can start the preferred time window. Therefore, on one hand, better travel service providers can be selected in the preferred time window; on the other hand, opportunities are provided for the travel service provider with slow response time and better service to respond to the travel orders. Furthermore, the travel orders can be reasonably distributed, and the travel experience of travel objects (such as passengers) is improved.

Example two

Referring to fig. 3A, a flowchart illustrating steps of a travel order allocation method according to a second embodiment of the present application is shown.

In this embodiment, a travel order allocation method according to the embodiment of the present application is described in a manner of determining a time for opening a preferred time window according to service quality data of a travel service provider and a preset preferred window opening condition.

step S202: and receiving a travel order sent by the travel object through the first travel platform.

The specific implementation of this step can refer to the description of the relevant part of the foregoing embodiment, and is not described in detail here.

Step S204: and sending the travel orders to the second travel platforms, and receiving the information of the travel service provider returned by the second travel platforms in response to the travel orders.

After sending out the travel order to each second travel platform, the first travel platform will continuously receive the feedback information of the travel service provider, including but not limited to: vehicle information (such as license plate number, vehicle type, vehicle make and model, etc.), information of a travel service provider to which the travel service provider belongs, and the like.

Step S206: determining the time for opening the preferred time window according to the service quality data of the trip service provider and the preset preferred time window opening condition, and opening the preferred time window when the time arrives.

In a feasible manner, the service quality data of the first one of the travel service providers may be acquired according to the time sequence of the responses; and determining the time for opening the preferred time window according to the service quality data and the preset preferred time window opening condition, and opening the preferred time window when the time arrives.

As described above, the time of the information of the travel service provider received by the first travel platform is different according to the response time of the travel service provider. And the information of the travel service provider is returned successively, that is, if relevant conditions such as a preferred time window closing condition are not met, the platform continuously receives the information of the travel service provider returned for a certain travel order.

Among the travel service providers, the travel service provider indicated by the information of the travel service provider which arrives at the platform first is the first travel service provider for the travel order. However, it should be noted that, because there is a rejection (or elimination) mechanism of the following travel service provider, if the previous travel service provider is rejected according to the time sequence, the following travel service provider will become the new first travel service provider. That is, the first travel service provider may be updated at a later time. Of course, if the first determined service quality of the first travel service provider meets the service quality requirement, the subsequent updating step may be omitted.

The quality of service data is used to characterize the quality of travel services that a travel service provider can provide, and in an optional manner, the quality of service data may be implemented as estimated probability of being over. But not limited thereto, the other qos indexes (e.g., cancellation rate, service attitude, qos feedback, time to reach a trip start position specified by a trip order, etc.) or the qos data formed by combining the estimated completion probability and the other qos indexes are all applicable to the solution of the embodiment of the present application.

For example, the information of the travel service provider 1 is first returned for the travel order X, and the travel service provider 1 is the current first travel service provider. If the service quality of the travel service provider 1 does not meet the requirement, the returned information of the travel service provider 2 is continuously received, and at this time, the travel service provider 2 becomes the new current first travel service provider. Similarly, if the service quality of the travel service provider 2 does not meet the requirement, the following travel service provider 3 will become the new first travel service provider, and so on.

In this embodiment, the service quality data is taken as an example of the estimated single probability of the travel service provider, the service quality can be effectively represented by the estimated single probability, and the data processing is relatively mature and simple. However, it should be understood by those skilled in the art that other qos data, or data formed by combining estimated singleton probability with other qos data, are applicable to the solution of the embodiment of the present application.

In this embodiment, the time for opening the preferred time window is determined comprehensively by considering the preferred time window opening condition in addition to the service quality data of the travel service provider. Wherein the preferred time window opening condition is used for indicating at what timing to trigger the opening of the preferred time window. In this embodiment, the preferred window opening conditions include: the service quality data of the travel service provider meet the preset service quality standard; or the quantity of the information refusing the travel service provider is within a preset quantity range; or the waiting time for the travel order is within a preset time range. The preset quality of service standard, the preset quantity range and the preset time range can be set by those skilled in the art according to actual requirements, and the embodiment of the present application does not limit this. By setting the preferable window opening condition, the service quality of a travel service provider providing travel service can be ensured, and the influence on travel experience caused by overlong waiting time of a travel object can be avoided. The quality of service criterion may be implemented as a set probability threshold in the case that the quality of service data employs a pre-estimated singleton probability.

Based on the above preferred time window opening condition, in a feasible manner, determining a time for opening the preferred time window according to the qos data and a preset preferred time window opening condition, and opening the preferred time window when the time arrives may be implemented as:

and if the service quality data of the first trip service provider meets a preset service quality standard, determining the time of reaching the preferred time window, and triggering to open the preferred time window. For example, after the platform sends out a travel order, if it is determined through calculation that the estimated ordering probability of the travel server indicated by the received information of the first travel service provider is greater than or equal to 0.7, the travel server may be directly triggered to open the preferred time window.

And if the service quality data of the first travel service provider does not meet the service quality standard, rejecting and releasing the information of the first travel service provider, updating the next travel service provider to the first travel service provider according to the time sequence, returning to the operation of obtaining the service quality data of the first travel service provider in the travel service providers and continuing to execute the operation until the travel service provider with the service quality data meeting the service quality standard is found under the condition specified by the preferred time window opening condition and the preferred time window is triggered to be opened.

For example, after the platform sends out a travel order, firstly, information of a driver 1 is received, the driver 1 is a current first travel service provider, and if it is determined that the estimated ordering probability of the driver 1 is 0.3 and the probability threshold value, such as 0.7, is not met, the driver 1 is rejected by the platform, and the opening of the preferred time window is not triggered. Next, when the platform receives the information of the driver 2, because the driver 1 is rejected, the driver 2 is the current first travel service provider, and if it is determined that the estimated list probability of the driver 2 is 0.5 and still does not reach the probability threshold, the driver 2 is rejected by the platform, and the opening of the preferred time window is not triggered. Then, when the platform receives the information of the driver 3, the driver 3 is determined as a new current first trip service provider, if the estimated single probability of the driver 3 is determined to be 0.8 and reaches the probability threshold, the platform determines that the opening time of the optimal time window is reached, and the driver 3 triggers the opening of the optimal time window.

Or, for another example, after the platform sends out a trip order, first, information of a driver 1 is received, the driver 1 is a current first trip service provider, and if it is determined that the estimated end-of-trip probability of the driver 1 is 0.3 and the probability threshold value is not met, such as 0.7, the driver 1 is rejected by the platform and the opening of the preferred time window is not triggered. Next, when the platform receives the information of the driver 2, because the driver 1 is rejected, the driver 2 is the current first travel service provider, and if it is determined that the estimated singleton probability of the driver 2 is 0.5 and the probability threshold is still not reached, the driver 2 is also rejected by the platform, and the opening of the preferred time window is not triggered. Then, when the platform receives the information of the driver 3, the driver 3 is determined as a new current first trip service provider, and if the estimated single probability of the driver 3 is determined to be 0.5 and still not reach the probability threshold, the driver 3 is rejected by the platform, and the opening of the preferred time window is not triggered. Then, when the platform receives the information of the driver 4, the driver 4 is determined as a new current first trip service provider, if the estimated single probability of the driver 4 is determined to be 0.6, the probability threshold value still cannot be reached, but 3 times of rejection is performed, if the 4 th rejection is performed, the quantity of the information rejected by the trip service provider exceeds the preset quantity range (0-3), and in order to avoid the overlong waiting time of the trip object, the driver 4 cannot meet the service quality, but the driver 4 still triggers to open the preferred time window.

Or, for another example, after the platform sends out the travel order, first, information of a driver 1 is received, the driver 1 is the current first travel service provider, and if it is determined that the estimated order completion probability of the driver 1 is 0.3 and the probability threshold value is not met, such as 0.7, the driver 1 will be rejected by the platform, and the opening of the preferred time window will not be triggered. Next, when the platform receives the information of the driver 2, because the driver 1 is rejected, the driver 2 is the current first travel service provider, and if it is determined that the estimated singleton probability of the driver 2 is 0.5 and the probability threshold is still not reached, the driver 2 is also rejected by the platform, and the opening of the preferred time window is not triggered. Then, when the platform receives the information of the driver 3, the driver 3 is determined as a new current first trip service provider, and if the estimated single probability of the driver 3 is determined to be 0.5 and still not reach the probability threshold, the driver 3 is rejected by the platform, and the opening of the preferred time window is not triggered. Then, when the platform receives the information of the driver 4, the driver 4 is determined as a new current first trip service provider, if it is determined that the estimated trip probability of the driver 4 is 0.6, the probability threshold value is still not reached, it is assumed that the distance from the trip order issuance is up to 20 seconds, if the trip object is refused to wait for a longer time, the waiting time for the trip order will be caused to exceed the preset time range (0-20 seconds), and in order to avoid the waiting time of the trip object being too long, the driver 4 cannot meet the service quality, but the driver 4 still triggers to open the preferred time window.

Therefore, by the mode, the reasonability of the opening time of the optimal time window can be effectively guaranteed.

In the above manner, when the qos data is the estimated probability, the estimated probability can be obtained by a probability estimation model, such as wide and deep model. The model can predict the probability that the travel service provider may complete the travel order based on the historical travel data of the travel service provider under the permitted use condition (including but not limited to the distance to the travel object, the time to reach the travel starting point and the end point, the service quality feedback data and the like), and obtain the predicted end-of-order probability. The concrete implementation of the estimated singleness probability by using the singleness probability prediction model can be realized by referring to the related art, and is not described in detail herein.

In addition, in some cases, there may be a case where the resources of the travel service provider are less, and in order to avoid the travel object waiting time being too long, in a feasible manner, if the quality of service data of the first travel service provider does not meet the quality of service standard, the rejecting and releasing information of the first travel service provider may be implemented as follows: if the service quality data of the first travel service provider does not meet the service quality standard, predicting corresponding rejected travel income and allowed travel income for the first travel service provider, wherein the rejected travel income is used for indicating the travel income when the first travel service provider is rejected to trigger the opening of the preferred time window, and the allowed travel income is used for indicating the travel income when the first travel service provider triggers the opening of the preferred time window; and if the rejected income is determined to be larger than the allowed travel income, rejecting and releasing the information of the first travel service provider.

The travel revenue may be used to indicate revenue that the travel service provider may bring to provide travel service for a certain travel order, including but not limited to: the trip subject cancels the economic loss or economic profit of the trip order, the positive or negative evaluation the trip subject may give by waiting for the trip order allocation, the probability that the trip service provider may receive a better quality of service response after the trip service provider, and so on. These factors may be considered individually or collectively. In one possible approach, revenue predictions may be made based on a revenue prediction model, such as the Deep Q Network model. In this case, a state feature vector of the travel state may be generated according to the information of the first travel service provider and the information of the travel order; and inputting the state characteristic vector into a profit prediction model to obtain the rejected trip profit and the allowed trip profit output by the profit prediction model.

The input of the profit forecasting model is a state feature vector (including but not limited to waiting time of a trip object, capacity supply and demand density of a trip starting position, and the like) for representing a trip state for a current trip order, and the output processed by the model includes two values, namely a profit for rejecting the trip service provider (i.e. rejected trip profit) and a profit for opening a preferred time window by the trip service provider (i.e. not rejected trip profit). If the rejected trip income is larger than the admitted trip income, rejecting the trip service provider; and if the admittance trip income is larger than the refused trip income, triggering and opening the optimal time window. Therefore, screening of the travel service providers is considered from the overall travel, and screening of the travel service providers is more reasonable. It should be noted that, in this embodiment, the specific structure of the profit prediction model and the training process thereof are not limited, and the rejected trip profit and the admitted trip profit can be output based on the input state feature vector, and the method is applicable to both Deep Q Network models and convolutional neural Network CNN models.

Step S208: and allocating the travel service providers to the travel orders according to the comparison result of the service quality data of the travel service providers in the opened preferred time window.

Generally, according to the comparison result of the service quality data of the travel service providers in the opened preferred time window, the travel service providers with good service quality data can be allocated to the travel order to ensure that higher-quality travel service is provided for the travel object.

However, in practical applications, a recommendation threshold may be set, and a plurality of travel service providers greater than the recommendation threshold are provided to the travel object and are selected by the travel object, so as to improve the participation and satisfaction of the travel object. For example, after comparison, if the estimated order probabilities of three travel service providers are all above 0.9, the three travel service providers can be determined to be adapted to the travel orders, and are all recommended to give travel objects, and the travel objects are selected by the travel objects.

Hereinafter, the above-described process is exemplified by a specific example, as shown in fig. 3B.

Fig. 3B shows a schematic diagram of a travel order allocation process, in this example, the travel service provider is embodied as a driver, and the travel object is embodied as a passenger. Based on this, the process comprises:

step A: information of the returned driver is received.

In this step, after the first travel platform sends out the travel orders to the plurality of second travel platforms, the travel orders are sent to the travel service provider through the travel service providers signed by the second travel platforms and the second travel platforms, if the travel service provider is willing to provide service for the travel orders, the information of the travel orders is fed back to the first travel platform through the travel service provider and the second travel platforms, and the first travel platform receives the returned information of the relevant drivers.

And B: it is determined whether to open a preferred time window. If yes, executing the step C; otherwise, executing step E.

The determination of whether the preferred time window is opened or not may be implemented according to the estimated order completion probability of the first driver received by the first trip platform for a certain trip order.

For example, if the estimated order completion probability of the first driver received by the first travel platform for a certain travel order satisfies the requirement, for example, is greater than or equal to 0.7, the driver may directly trigger to open the preferred time window, and perform quality of service matching for a plurality of drivers within the preferred time window (step C). After the result of the match-out, the driver with the good service quality is allocated to the travel order (step D).

And C: and opening a preferred time window, and performing service quality ratio combination of a plurality of drivers in the preferred time window.

Step D: and after the result is compared, allocating drivers with good service quality to the travel order. And finishing the distribution flow of the travel orders.

After the optimal time window is opened, the order completion probability of each driver is predicted according to the order completion probability prediction model in the optimal time window, and the driver with the maximum order completion probability is selected and finally matched with the passenger.

Step E: a dynamic admission judgment is made to determine whether to reject the current driver. If the order is rejected, executing step F; if not, executing step B.

Step F: and releasing the information of the current driver and returning to the step A.

In this example, dynamic admission means to determine in real time whether to reject the driver returned by the travel service provider. In particular, in this example, it may be determined whether to reject the current driver based on the estimated order probability of the driver. And if the order is rejected, returning to the previous step, and judging the next driver of the rejected driver. If the order is not rejected, a preferred time window is opened to carry out quality of service matching among a plurality of drivers.

In one alternative, after the dynamic admission is triggered to be opened, the income of the driver to be refused and the income of the opening of the preferred time window can be predicted based on Deep Q Network (strong learning algorithm), and the decision of larger income is executed. If the driver is not rejected, the preferred catch up time window is opened, and if the driver is rejected, the preferred time window is not opened.

In practical application, the preferred time window can be directly opened when the following three conditions are met, dynamic admission is not triggered, and otherwise, dynamic admission is triggered.

These three cases are: a) if the returned certain driver is determined to have good service quality, if the probability of finishing the order of the driver is predicted to be high and is larger than the probability threshold value P (such as 0.7), directly opening a preferred time window; b) the driver is refused for more than N (such as 3 times) for dynamic access, so that the optimal time window is opened to avoid that the passenger cannot get the bus because of too many refusal times; c) the passenger waits for more than M seconds (such as 20 seconds) after taking the order, and a preferred time window is opened to avoid the passenger waiting too long.

The estimated order completion probability of the driver can use an order completion probability prediction model, such as a deep learning wildendaep model, to predict the order completion probability (i.e., estimated order completion probability) of the driver based on the historical travel behavior data of the driver.

As can be seen, in the conventional scheme, due to the limitation of the preferred time window, a driver with a later response time but a better service may miss the preferred time window, so that the passenger does not match the better driver. However, according to the present example, when the estimated order probability of the driver whose first trigger preferred time window is opened is low, it is predicted whether a driver with better service quality will be returned behind another trip service provider or the same trip service provider, if the probability of the driver with better service quality being returned behind the trip service provider is high, the current driver is rejected, and after rejection, the driver with better service quality can be waited for, so that the passenger is matched with the driver with higher order probability and better service quality.

The above process is exemplified below with one scenario example, as shown in fig. 3C. In this example, the travel object is implemented as a passenger and the travel service provider is implemented as a driver.

Assume that travel order X consists of 13 on 1 month, 1 day 2021: 03: 30 from the first travel platform to each of the second travel platforms, through the travel service provider and up to the travel service provider. If the travel service provider wishes to provide services for the travel order, the information of the travel service provider is fed back to the first travel platform through the travel service provider and the second travel platform. Assume, in response to this travel order X, that the first travel platform, at 1 month, 1 day, 2021 13: 03: 35 receives information of driver 1, 1 month, 1 day, 13 in 2021: 03: 36 receives driver 2 information, 1 month, 1 day, 13, 2021: 03: 38 receives information of the driver 3, 1 month, 1 day, 13 in 2021: 03: 39 receives information of the driver 4, 1 month, 1 day, 13 in 2021: 03: 40 receive information from the driver 5. And, the information of the driver returned to the first travel platform will be continuously received before the preferred time window for the travel order X is not closed (including before the preferred time window is opened, and after the preferred time window is opened to before the preferred time window is closed), which is not detailed herein.

In this example, when the first trip platform receives the information of the driver 1, the service quality data of the driver 1 is obtained, which is indicated as the estimated order probability in this example, assuming that the estimated order probability of the driver 1 is 0.3 and the probability threshold is not satisfied, for example, 0.7, the driver 1 will be rejected by the first trip platform, and the opening of the preferred time window will not be triggered. And then, when the first trip platform receives the information of the driver 2, calculating the estimated order probability of the driver 2, if the estimated order probability of the driver 2 is 0.5 and still does not reach the probability threshold, the driver 2 is rejected by the first trip platform, and the preferred time window is not triggered to be opened. And then, the first trip platform continues to receive the returned information of the driver, when the information of the driver 3 is received, the estimated order completion probability of the driver 3 is calculated, if the estimated order completion probability of the driver 3 is 0.8 and reaches a probability threshold, the first trip platform determines the opening time of the arrival preference time window, and the driver 3 triggers the opening of the preference time window. Assuming again that the fixed duration of the priority time window is 5 seconds, after the opening of the priority time window, the drivers 3, 4, 5, and 13 at 1 month, 1 day, 2021: 03: the driver's information received 42 seconds ago (including 13: 03: 42) will be involved in the comparison of the quality of service data. Assume that at 13: 03: 42, also the information of the drivers 6, 7, 8 has been received before, a comparison of the quality of service data will be made by the drivers 3, 4, 5, 6, 7, 8. If the estimated single probabilities corresponding to the drivers are respectively as follows: 0.8, 0.85, 0.7, 0.5, 0.6, 0.7, then 0.85 can be determined to be the maximum, its corresponding driver 4 wins, and travel order X will be assigned to driver 4.

It can be seen that, according to the embodiment, on one hand, a plurality of other trip platforms, that is, a plurality of second trip platforms, are aggregated in the first trip platform, and when a trip object needs to trip, a trip order is sent to the first trip platform, and the trip order is sent to the plurality of second trip platforms by the first trip platform, so as to obtain more information of candidate trip service providers capable of providing services, and provide faster and better trip services for the trip object. On the other hand, unlike the conventional method in which the first travel service provider (such as a driver) responding to a travel order directly triggers the opening of the preferred time window without considering the service quality of the travel service provider, in the present embodiment, whether the opening of the preferred time window can be triggered by the travel service provider is evaluated according to the service quality of the travel service provider and the preset preferred time window opening condition. Therefore, the starting time of the preferred time window can be ensured, so that the trip service provider meeting the requirement of the service quality can be ensured to start the preferred time window. Therefore, on one hand, the travel service provider with the service quality meeting the requirement can be selected in the preferred time window; on the other hand, the method also provides an opportunity for the travel service provider with slow response time and better service quality to respond to the travel order. Furthermore, the travel orders can be reasonably distributed, and the travel experience of travel objects (such as passengers) is improved.

EXAMPLE III

Referring to fig. 4, a flowchart illustrating steps of a travel order allocation method according to a third embodiment of the present application is shown.

In this embodiment, a travel order allocation method according to the embodiment of the present application is described in a manner of determining a time for opening a preferred time window according to service evaluation data of a second travel platform and a preset preferred window opening condition.

step S302: and receiving a travel order sent by the travel object through the first travel platform.

Step S304: and sending the travel orders to the second travel platforms, and receiving the information of the travel service provider returned by the second travel platforms in response to the travel orders.

The detailed implementation of the steps S302-S304 can refer to the description of the relevant parts in the first or second embodiment, and will not be described herein again.

Step S306: and determining the time for opening the preferred time window according to the service evaluation data of the second trip platform, the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives.

In this embodiment, whether the trip server is adapted to the preferred window opening condition is not determined only according to the information of the trip server, but also the factors of the second trip platform are fully considered. For some second travel platforms, the overall service of the platform may be good, and low-quality travel service providers rarely appear. Alternatively, the platform or device or network conditions it may use are not good enough, but the quality of service provided is good. Therefore, the service evaluation data of the second trip platform is considered, the service which is more consistent with the actual use scene can be provided for the second trip platform, and the aggregation experience of the second trip platform into the first trip platform is improved.

In one possible approach, the service valuation data includes: the service quality data of the second trip platform, and/or the response duration of the second trip platform responding to the trip order. Correspondingly, the preferred window opening conditions include: the service quality data of the second travel platform meet a preset service quality standard, and/or the response time of the second travel platform responding to the travel order is within a preset time range.

In an optional manner, the service quality data of the second travel platform may be determined based on the service quality of the travel service provider that can be provided by the second travel platform, and may be implemented as an estimated order completion probability of the platform, an order cancellation rate of the platform, and the like. But not limited thereto, other qos indicators (e.g., qos attitude, qos feedback, etc.) or qos data formed by combining the estimated singleton probability and other qos indicators are all applicable to the solution of the embodiment of the present application.

In practical applications, both the service quality standard and the preset duration range can be flexibly set by those skilled in the art according to practical situations, and the embodiment of the present application does not limit this.

Based on this, the present step can be implemented as: if the second travel platform is determined to be the travel platform meeting the preset preferable window opening condition according to the service evaluation data of the second travel platform, the time when the information of the first travel service provider returned by the second travel platform is received is determined as the time for opening the preferable time window, and the preferable time window is opened when the time arrives.

For example, for a certain second travel platform, although the response speed to the travel order is slower than that of other second travel platforms, the service quality of the platform is better, and thus the platform can be determined as the travel platform meeting the preset preferred window opening condition. For another example, for a certain second travel platform, although the response speed to the travel order is faster than that of other second travel platforms, the service quality of the platform is poor, and the platform cannot be determined as the travel platform meeting the preset preferred window opening condition.

It should be noted that, if there is no travel platform meeting the preset preferred window opening condition, it may be adjusted to the scheme in the second embodiment, that is, the opening timing of the preferred time window is determined based on the service quality of the travel service provider and the preset preferred window opening condition.

Step S308: and allocating the travel service providers to the travel orders according to the comparison result of the service quality data of the travel service providers in the opened preferred time window.

For the specific implementation of this step, reference may be made to the description of the relevant parts in the foregoing first or second embodiment, which is not described herein again.

Through the embodiment, on one hand, a plurality of other trip platforms, namely a plurality of second trip platforms, are aggregated in the first trip platform, and when a trip object needs to trip, a trip order is sent to the first trip platform, and the trip order is sent to the plurality of second trip platforms by the first trip platform, so that more information of candidate trip service providers capable of providing services is obtained, and faster and better trip services are provided for the trip object. On the other hand, the service evaluation data of the second trip platform is considered, so that the service which is more consistent with the actual use scene can be provided for the second trip platform, and the aggregation experience of the second trip platform aggregated into the first trip platform is also improved. Therefore, the travel orders can be reasonably distributed, and the travel experience of the travel object is improved.

Example four

Referring to fig. 5A, a flowchart illustrating steps of a travel order allocation method according to a fourth embodiment of the present application is shown.

In this embodiment, a travel order allocation method provided in this embodiment is described from the perspective of a travel terminal of a travel object. The travel order allocation method of the embodiment comprises the following steps:

step S402: and receiving travel information input by the travel object, and generating a travel order according to the travel information.

The trip information input by the trip subject includes basic information of the trip, and the basic information includes but is not limited to: information such as a trip departure place, a trip destination, trip time, trip object identification and the like.

Based on the received travel information, the travel terminal may generate a travel order, and the travel order carries the travel information and also carries an identifier of the travel terminal.

Step S404: the method comprises the steps of sending a travel order to a first travel platform, enabling the first travel platform to send the travel order to a plurality of second travel platforms which are aggregated to the first travel platform, receiving information of a travel service provider fed back by the second travel platforms for the travel order, determining a time for opening a preferred time window according to the information of the travel service provider and a preset preferred window opening condition, and opening the preferred time window when the time arrives, so as to distribute the travel service provider for the travel order through the preferred time window.

The specific implementation of this step on the first travel platform may refer to the description of relevant parts in the foregoing embodiments, and is not described herein again.

Step S406: and receiving the information of the travel service provider distributed for the travel order fed back by the first travel platform.

After the first travel platform allocates the travel service provider for the travel order, the information of the travel service provider is fed back to the travel terminal of the travel object. Further, the travel terminal may present information of the target travel service provider to a travel object.

An exemplary scenario of the above process is shown in fig. 5B, in this example, the travel object is implemented as a passenger and the travel service provider is implemented as a driver.

After a trip object inputs trip information such as trip time, destination and the like on a trip application interface provided by a first trip platform through a trip terminal, a trip application generates trip orders according to the trip information, and after the trip orders are sent to the first trip platform, the first trip platform sends the trip orders to a plurality of second trip platforms. Assume that travel order X consists of 13 at 1 month, 1 day 2021: 03: 30 from the first travel platform to each of the second travel platforms, through the travel service provider and up to the travel service provider. If the travel service provider wants to provide services for the travel order, the information of the travel service provider is fed back to the first travel platform through the travel service provider and the second travel platform. Assume, in response to this travel order X, that the first travel platform was, in 2021, 1 month, 1 day 13: 03: 35 receives information of driver 1, 1 month, 1 day, 13 in 2021: 03: 36 receives driver 2 information, 1 month, 1 day, 13, 2021: 03: 38 receives information of the driver 3, 1 month, 1 day, 13 in 2021: 03: 39 receives information of the driver 4, 1 month, 1 day, 13 in 2021: 03: 40 receive information from the driver 5. And, the driver's information returned to the first travel platform will continue to be received before the preferred time window for the travel order X is closed (including before the preferred time window is opened, and after it is opened until it is closed).

In this example, when the first trip platform receives the information of the driver 1, the service quality data of the driver 1 is obtained, which is indicated as the estimated order probability in this example, assuming that the estimated order probability of the driver 1 is 0.3 and the probability threshold is not satisfied, for example, 0.7, the driver 1 will be rejected by the first trip platform, and the opening of the preferred time window will not be triggered. And then, when the first trip platform receives the information of the driver 2, calculating the estimated order probability of the driver 2, if the estimated order probability of the driver 2 is 0.5 and still does not reach the probability threshold, the driver 2 is rejected by the first trip platform, and the preferred time window is not triggered to be opened. And then, the first trip platform continues to receive the returned information of the driver, when the information of the driver 3 is received, the estimated order completion probability of the driver 3 is calculated, if the estimated order completion probability of the driver 3 is 0.8 and reaches a probability threshold, the first trip platform determines the opening time of the arrival preference time window, and the driver 3 triggers the opening of the preference time window. Assuming again that the fixed duration of the preferred time window is 5 seconds, after the preferred time window is opened, drivers 3, 4, 5, and 13 at 1 month, 1 day 2021: 03: the driver's information received 42 seconds ago (including 13: 03: 42) will be involved in the comparison of the quality of service data. Assume that at 13: 03: 42, also the information of the drivers 6, 7, 8 has been received before, a comparison of the quality of service data will be made by the drivers 3, 4, 5, 6, 7, 8. If the estimated single probabilities corresponding to the drivers are respectively as follows: 0.8, 0.85, 0.7, 0.5, 0.6, 0.7, then 0.85 can be determined to be the maximum, its corresponding driver 4 wins, and travel order X will be assigned to driver 4. A specific illustration of the above process can be seen in fig. 3C, which in fig. 5B is simply illustrated as "determining from the driver's information that the driver 3 triggers the opening of a preferred time window in which the comparison of the quality of service data is made to the drivers 3, 4, 5, 6, 7, 8, determining that the driver 4 is assigned a travel order X".

After determining that the travel order X is allocated to the driver 4, the first travel platform sends information of the driver 4 to a travel terminal of the travel object, and after receiving the information, the travel terminal displays the travel object in a corresponding interface.

Therefore, through the embodiment, the travel object can obtain a better travel service provider through the first travel platform, and the travel experience of the travel object (such as a passenger) is improved.

EXAMPLE five

Referring to fig. 6A, a flowchart illustrating steps of a travel order allocation method according to a fifth embodiment of the present application is shown.

The present embodiment describes a travel order allocation method provided in the present embodiment from the perspective of a travel terminal of a travel service provider. The travel order allocation method of the embodiment comprises the following steps:

step S502: and receiving the travel order sent by the second travel platform.

The trip order is received by the second trip platform from the first trip platform, and a plurality of second trip platforms are aggregated in the first trip platform and comprise the second trip platform for sending the trip order.

The first or second travel platform provides a corresponding interface, such as a corresponding application program, to the travel terminal of the travel service provider. Therefore, the travel terminal can receive a travel order through the application program and display information of the travel order through an interface of the application program.

It should be noted that, in practical applications, the contract with the second travel platform may be a travel service provider, and therefore, this step may also be considered as receiving a travel order sent by the second travel platform through the travel service provider, but the interface may still be provided by the first travel platform or the second travel platform. Of course, it may also be provided by an travel service provider. But no matter which party provides it, timely interaction among the above parties can be achieved.

In this embodiment, the information carried in the travel order includes, but is not limited to: travel departure place, travel destination, travel time, travel object identification and the like.

Step S504: and generating a response message according to the receiving operation of the travel service provider on the travel order.

As described above, the interface of the application program displays the information of the corresponding travel order, and if the travel service provider is willing to provide travel service for the travel order, the receiving operation can be performed through the corresponding option in the interface, such as the "confirm" option or the "order grabbing" option. After receiving the receiving operation, the travel terminal in this embodiment generates a corresponding response message, where the response message carries information of the travel service provider.

Step S506: and feeding back the response message to the second trip platform so that the second trip platform feeds back the information of the trip service provider to the first trip platform according to the response message, determining the time for opening the preferred time window through the first trip platform based on the information of the trip service provider and the preset preferred window opening condition, opening the preferred time window when the time is up, and distributing the trip service provider for the trip order through the preferred time window.

And after receiving the response message, the second trip platform acquires the information of the trip service provider from the response message and feeds the information back to the first trip platform. The first travel platform may determine its corresponding quality of service data based on the information of the travel service provider. Further, a final travel service provider serving the travel order is determined based on the service quality data, and is fed back to the travel object. For specific implementation of the above processing of the first travel platform, reference may be made to the descriptions of corresponding parts in the first to third embodiments, and details are not described herein again.

Optionally, if the travel service provider is determined to be the final travel service provider, the travel terminal further receives and displays the selected message fed back by the first travel platform through the second travel platform and the travel service provider.

Hereinafter, the above process is exemplarily described as shown in fig. 6B by using a scenario example.

In this example, taking a travel service provider as a driver a as an example, the driver a displays an interface of an application program provided by the second travel platform 1 signed by the driver a through a travel terminal of the driver a, and displays corresponding travel information through the interface, including but not limited to current road information, current location information, account information of the driver a in the application program, and the like. And, the information of the travel order M sent by the second travel platform 1 through the travel service provider X can be received and displayed through the application program. In this example, as shown in fig. 6B, after the information of the travel order M is received, the information is presented through the interface of the application program. Corresponding operating buttons, in this example illustrated as "reject" and "accept" buttons, are also provided corresponding to the displayed information of the travel order M. If the driver A does not want to provide service for the travel order M, the information of the travel order M will not be displayed after clicking the "reject" button. If the driver a is willing to provide service for the travel order M, the "accept" button (in this example, "accept" is taken as an example) can be clicked, and after receiving the operation, the application program will generate a corresponding response message, in which the information of the driver a and the information of the travel order M are carried. Then, the response message is fed back to the second travel platform 1 through a travel service provider, exemplified as the travel service provider 11. The second trip platform 1 feeds back to the first trip platform after receiving the response message. After receiving the response message, the first trip platform determines the service quality data corresponding to the driver A based on the information carried in the response message, and determines the time for opening the preferred time window based on the service quality data of the driver A and the preset preferred window opening condition. Assuming that the service quality data of the driver a meets the preferred window opening condition, the first trip platform is triggered to open the preferred time window.

Assuming that the fixed duration of the preferred time window is 5 seconds, the driver B, C, D will receive information after the preferred time window is opened, and the driver A, B, C, D will compare the quality of service data. If the corresponding pre-estimated single probabilities of the drivers are respectively as follows: 0.8, 0.65, 0.7, 0.5, then 0.8 can be determined to be the maximum value, which corresponds to driver a winning, and then travel order M will be assigned to driver a.

Since the driver a is determined as the driver who finally provides the service, the first travel platform will feed back the information of the driver a to the travel terminal of the passenger (the travel object); on the other hand, the driver a is fed back his selected message through the second travel platform and the travel service provider. After the driver A clicks the confirmation, a navigation route is generated based on the current position of the driver A and the position of the passenger corresponding to the travel order M for the driver A to refer to and arrive at the travel position of the passenger in time, and travel service is provided for the passenger.

Therefore, according to the embodiment, the travel service provider can obtain more resources of the travel order through the first travel platform, and the travel service provider is screened by the first travel platform based on the service quality data of the travel service provider, so that the travel service provider can be effectively promoted to improve the service quality, the overall travel service quality is improved, and the travel experience of the travel object is also improved.

EXAMPLE six

Referring to fig. 7, a schematic structural diagram of an electronic device according to a fourth embodiment of the present application is shown, and the specific embodiment of the present application does not limit a specific implementation of the electronic device.

As shown in fig. 7, the electronic device may include: a processor (processor)602, a communication Interface 604, a memory 606, and a communication bus 608.

Wherein:

the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608.

A communication interface 604 for communicating with other electronic devices or servers.

The processor 602 is configured to execute the program 610, and may specifically execute relevant steps in any of the above embodiments of the trip order allocation method.

In particular, program 610 may include program code comprising computer operating instructions.

The processor 602 may be a CPU, or an application Specific Integrated circuit (asic), or one or more Integrated circuits configured to implement embodiments of the present application. The one or more processors included in the smart device may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 610 may be specifically configured to enable the processor 602 to execute operations corresponding to the travel order allocation method described in any of the foregoing method embodiments.

For specific implementation of each step in the program 610, reference may be made to corresponding steps and corresponding descriptions in units in the above embodiment of the trip order allocation method, and corresponding beneficial effects are provided, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.

The embodiment of the present application further provides a computer program product, which includes a computer instruction, where the computer instruction instructs a computing device to execute an operation corresponding to any one of the above travel order allocation methods in the multiple method embodiments.

It should be noted that, according to the implementation requirement, each component/step described in the embodiment of the present application may be split into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiment of the present application.

The above-described methods according to embodiments of the present application may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the methods described herein may be stored in such software processes on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that the computer, processor, microprocessor controller or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the travel order allocation method described herein. Further, when a general purpose computer accesses code for implementing the travel order allocation method shown herein, execution of the code transforms the general purpose computer into a special purpose computer for performing the travel order allocation method shown herein.

Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present application.

The above embodiments are only used for illustrating the embodiments of the present application, and not for limiting the embodiments of the present application, and those skilled in the relevant art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application, so that all equivalent technical solutions also belong to the scope of the embodiments of the present application, and the scope of the embodiments of the present application should be defined by the claims.

Claims

1. A travel order allocation method, comprising:

the method comprises the steps that a trip order sent by a trip object is received through a first trip platform, wherein the first trip platform is a polymerization platform which is polymerized with a plurality of second trip platforms;

sending the travel orders to the second travel platforms, and receiving information of the travel service providers returned by the second travel platforms in response to the travel orders;

determining the time for opening the preferred time window according to the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives;

and allocating a travel service provider to the travel order through the preferred time window.

2. The method of claim 1, wherein the determining a time for opening a preferred time window according to the information of the travel service provider and a preset preferred window opening condition, and opening the preferred time window when the time arrives comprises:

and determining the time for opening the preferred time window according to the service quality data of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives.

3. The method of claim 2, wherein the determining, according to the quality of service data of the travel service provider and a preset preferred window opening condition, a timing for opening a preferred time window, and opening the preferred time window when the timing arrives, comprises:

according to the time sequence of the response, obtaining the service quality data of the first one of the trip service providers;

and determining the time for opening the preferred time window according to the service quality data and a preset preferred time window opening condition, and opening the preferred time window when the time arrives.

4. The method of claim 3, wherein said assigning a travel service provider to said travel order through said preferred time window comprises:

and allocating a travel service provider to the travel order according to the comparison result of the opened travel service provider service quality data in the preferred time window.

5. The method of any of claims 2-4, wherein the preferred window opening condition comprises: the service quality data of the travel service provider meet the preset service quality standard; or the quantity of the information refusing the travel service provider is within a preset quantity range; or the waiting time for the travel order is within a preset time range.

6. The method of claim 5, wherein the determining, according to the quality of service data of the travel service provider and a preset preferred time window opening condition, a time for opening a preferred time window, and opening the preferred time window when the time arrives, comprises:

if the service quality data of the first trip service provider meet a preset service quality standard, determining the time for reaching the preferred time window, and triggering and opening the preferred time window;

and if the service quality data of the first travel service provider does not meet the service quality standard, rejecting and releasing the information of the first travel service provider, updating the next travel service provider to the first travel service provider according to the time sequence, returning to the operation of acquiring the service quality data of the first travel service provider in the travel service providers, and continuing to execute the operation until the travel service provider with the service quality data meeting the service quality standard is found under the condition specified by the preferred time window opening condition and the preferred time window is triggered to be opened.

7. The method of claim 6, wherein said rejecting and releasing the information of the first travel service provider if the quality of service data of the first travel service provider does not meet the quality of service standard comprises:

if the service quality data of the first travel service provider does not meet the service quality standard, predicting corresponding rejected travel income and allowed travel income for the first travel service provider, wherein the rejected travel income is used for indicating the travel income when the first travel service provider is rejected to trigger the opening of the preferred time window, and the allowed travel income is used for indicating the travel income when the first travel service provider triggers the opening of the preferred time window;

and if the rejected income is determined to be larger than the admittance travel income, rejecting and releasing the information of the first travel service provider.

8. The method of claim 7, wherein said predicting corresponding rejected and admitted travel revenues for said first travel service provider comprises:

generating a state feature vector of a travel state according to the information of the first travel service provider and the information of the travel order;

and inputting the state feature vector into a profit prediction model to obtain the rejected trip profit and the allowed trip profit output by the profit prediction model.

9. The method of claim 1, wherein the determining a time for opening a preferred time window according to the information of the travel service provider and a preset preferred window opening condition, and opening the preferred time window when the time arrives comprises:

and determining the time for opening the preferred time window according to the service evaluation data of the second trip platform, the information of the trip service provider and the preset preferred window opening condition, and opening the preferred time window when the time arrives.

10. The method of claim 9, wherein,

the service assessment data includes: service quality data of the second trip platform, and/or response duration of the second trip platform responding to the trip order;

the corresponding preferred window opening conditions include: the service quality data of the second trip platform meet preset service quality standards, and/or the response time of the second trip platform responding to the trip order is within a preset time range.

11. The method of claim 10, wherein the determining, according to the service evaluation data of the second travel platform, the information of the travel service provider, and a preset preferred window opening condition, a timing for opening a preferred time window, and opening the preferred time window when the timing arrives, comprises:

if the second travel platform is determined to be the travel platform meeting the preset optimal window opening condition according to the service evaluation data of the second travel platform, determining the time when the information of the first travel service provider returned by the second travel platform is received as the time for opening the optimal time window, and opening the optimal time window when the time arrives.

12. The method of claim 2 or 10,

the service quality data is the estimated singleton probability.

13. A travel order allocation method, comprising:

the method comprises the steps of receiving travel information input by a travel object, and generating a travel order according to the travel information;

sending the travel order to a first travel platform, so that the first travel platform sends the travel order to a plurality of second travel platforms aggregated to the first travel platform, receives travel service provider information fed back by the plurality of second travel platforms for the travel order, determines a time for opening a preferred time window according to the travel service provider information and preset preferred window opening conditions, and opens the preferred time window when the time arrives, so as to allocate a travel service provider to the travel order through the preferred time window;

and receiving the information of the travel service provider distributed for the travel order fed back by the first travel platform.

14. A travel order allocation method, comprising:

the method comprises the steps of receiving a travel order sent by a second travel platform, wherein the travel order is received by the second travel platform from a first travel platform, and a plurality of second travel platforms are aggregated in the first travel platform;

generating a response message according to the operation of the trip service provider on the trip order, wherein the response message carries the information of the trip service provider;

feeding back the response message to the second trip platform, so that the second trip platform feeds back the information of the trip service provider to the first trip platform according to the response message, and determining the time for opening a preferred time window through the first trip platform based on the information of the trip service provider and a preset preferred window opening condition, so as to open the preferred time window when the time arrives, and allocating the trip service provider to the trip order through the preferred time window.

15. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the travel order allocation method according to any one of claims 1-14.

16. A computer storage medium having stored thereon a computer program which, when executed by a processor, implements a travel order allocation method according to any one of claims 1 to 14.