CN111429235A

CN111429235A - Method, device and equipment for acquiring order thermodynamic information and storage medium

Info

Publication number: CN111429235A
Application number: CN202010306030.0A
Authority: CN
Inventors: 李海花; 汪倜羽
Original assignee: Hanhai Information Technology Shanghai Co Ltd
Current assignee: Hanhai Information Technology Shanghai Co Ltd
Priority date: 2020-04-17
Filing date: 2020-04-17
Publication date: 2020-07-17

Abstract

The application provides a method, a device, equipment and a storage medium for obtaining order thermodynamic information, and belongs to the technical field of internet. The method comprises the following steps: receiving an order thermodynamic information acquisition instruction sent by a first terminal; acquiring vehicle information and position information of a vehicle carried by an instruction; obtaining order information of passengers in a plurality of areas according to the position information; determining a first order quantity of each vehicle type in each region in a target riding time period according to order information of passengers; according to the first order quantity and the vehicle information, obtaining order thermodynamic information corresponding to the vehicle information in the target riding time period of each area; and sending the order heating power information of each area to the first terminal. Determining order thermodynamic information of each area in a target riding time period according to the first order quantity and the vehicle information of each vehicle type; the order thermodynamic information corresponding to different vehicle types is different, so that the granularity of the order thermodynamic information is reduced, and the prediction effect of the order thermodynamic information is improved.

Description

Method, device and equipment for acquiring order thermodynamic information and storage medium

Technical Field

The present application relates to the field of internet technologies, and in particular, to a method, an apparatus, a device, and a storage medium for obtaining thermal information of an order.

Background

With the development of the internet technology, more and more passengers select the network appointment car to go out, and a network appointment platform client can be installed on the terminal. When the passenger needs to go out, the passenger can reserve an order through the client of the network appointment platform, and a network appointment driver nearby the passenger receives the reserved order through the client of the network appointment platform to appoint a place to pick up the passenger. However, when no reservation order is made, the net car reservation driver can only blindly search for passengers on the road. In order to improve the order rate of the network car booking driver, the client side of the network car booking platform provides an order thermodynamic diagram for the network car booking driver. Wherein the order thermodynamic diagram is used to predict order quantities for a plurality of areas; when the online taxi booking driver does not receive the booking order, the online taxi booking driver can go to the order intensive area according to the order, so that the order transaction rate of the online taxi booking driver is improved.

In the related art, a thermodynamic diagram for predicting the current order amount of each area is created based on the historical order amount of passengers in the area. However, the difference of the reservation order quantity of the passengers is large in the peak trip period and the non-peak trip period; particularly, in the non-travel peak period, the randomness of the reservation order quantity of the passengers is very different, so that the prediction effect of the order thermodynamic diagram made through historical order quantity control is not ideal and the accuracy is poor.

Disclosure of Invention

The embodiment of the application provides a method, a device, equipment and a storage medium for obtaining order thermodynamic information, which can improve the prediction effect of the order thermodynamic information. The technical scheme is as follows:

according to an aspect of an embodiment of the present application, there is provided a method for obtaining order thermodynamic information, the method including:

receiving an order thermodynamic information acquisition instruction sent by a first terminal; the first terminal is a terminal used by a network car booking driver, and the acquisition instruction carries vehicle information and position information of a vehicle;

obtaining order information of passengers in a plurality of areas according to the position information; the plurality of regions are a plurality of regions within a preset distance range around the current position of the vehicle;

determining a first order quantity of each vehicle type in each area in a target riding time period according to the order information of the passengers;

according to the first order quantity and the vehicle information, obtaining order thermodynamic information corresponding to the vehicle information in the target riding time period of each area; and sending the order heating power information of each area to the first terminal.

In one possible implementation, the passengers include an un-reserved passenger and a reserved passenger; the determining the first order quantity of each vehicle type in each region in a target riding time period according to the order information of the passengers comprises the following steps:

acquiring order information of the un-reserved passenger within a first preset time before the current time, and determining the vehicle type selected to be reserved by the un-reserved passenger within the target riding time period according to the order information of the un-reserved passenger;

according to the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period, determining a first number of the un-reserved passengers corresponding to each vehicle type in each region in the target riding time period;

and determining the first order quantity of each vehicle type in the target riding time period of each region according to the first quantity and the second quantity of reserved passengers in a second preset time before the current time.

In another possible implementation, the order information includes passenger attribute information; the step of determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the order information of the un-reserved passenger comprises the following steps:

responding to historical order information of the un-reserved passenger, and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the historical order information; or,

responding to the situation that the un-reserved passenger does not have historical order information, and acquiring passenger attribute information of the un-reserved passenger according to the order information; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the passenger attribute information.

In another possible implementation manner, the historical order information includes historical booking times of each vehicle type; the step of determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the historical order information comprises the following steps:

determining a reserved expected value of each vehicle type in the target riding time period according to the historical reserved times of each vehicle type; selecting the vehicle type with the reservation expected value larger than a first preset expected value from the plurality of vehicle types according to the reservation expected value of each vehicle type; the selected vehicle type is used as the vehicle type selected to be reserved by the passenger not reserved; or,

and inputting the historical order information into a first thermal model to obtain the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period.

In another possible implementation manner, the determining, according to the passenger attribute information, that the passenger who does not reserve selects a reserved vehicle type in the target riding time period includes:

determining attribute characteristics of the un-reserved passenger according to the passenger attribute information;

determining a target group where the non-reserved passenger is located from a plurality of groups according to the attribute characteristics;

and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the vehicle type selected to be reserved by each passenger in the target group in the target riding time period.

According to another aspect of the embodiments of the present application, there is provided a method for obtaining order thermodynamic information, the method including:

acquiring vehicle information and current position information of a current vehicle;

sending an acquisition instruction of order thermodynamic information to a server, wherein the acquisition instruction carries the vehicle information and the position information, the server is used for acquiring the order thermodynamic information corresponding to the vehicle information in a target riding time period of the plurality of areas according to the vehicle information and the position information, and the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle;

receiving order heating power information corresponding to each area sent by the server;

and displaying the order thermodynamic information corresponding to each area.

In a possible implementation manner, the order thermodynamic information includes a second order quantity and a density level corresponding to the second order quantity; the displaying of the order thermodynamic information corresponding to each area includes:

displaying an electronic map, and marking each area in the electronic map;

for each area, marking a second order quantity corresponding to the area in the area;

and determining a mark icon corresponding to the density grade, and displaying the mark icon in the area.

In another possible implementation manner, the obtaining instruction further carries a target riding time period; before the sending the obtaining instruction of the order heating power information to the server, the method further includes:

displaying a target application interface, the target application interface including a time selection button;

responding to the triggering of the time selection button, acquiring the current time, and determining the target riding time period of the current time according to the current time; or,

and acquiring the input target riding time period in response to the triggering of the time selection button.

According to another aspect of the embodiments of the present application, there is provided an apparatus for obtaining order thermodynamic information, the apparatus including:

the receiving module is used for receiving an order thermodynamic information acquisition instruction sent by the first terminal; the first terminal is a terminal used by a network car booking driver, and the acquisition instruction carries vehicle information and position information of a vehicle;

the first acquisition module is used for acquiring the order information of passengers in a plurality of areas according to the position information; the plurality of regions are a plurality of regions within a preset distance range around the current position of the vehicle;

the determining module is used for determining the first order quantity of each vehicle type in each area in a target riding time period according to the order information of the passengers;

the second obtaining module is used for obtaining order thermodynamic information corresponding to the vehicle information in the target riding time period of each area according to the first order quantity and the vehicle information; and sending the order heating power information of each area to the first terminal.

In one possible implementation, the passengers include an un-reserved passenger and a reserved passenger; the determining module is further configured to acquire order information of the un-reserved passenger within a first preset time before the current time, and determine, according to the order information of the un-reserved passenger, a vehicle type selected to be reserved by the un-reserved passenger within the target riding time period; according to the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period, determining a first number of the un-reserved passengers corresponding to each vehicle type in each region in the target riding time period; and determining the first order quantity of each vehicle type in the target riding time period of each region according to the first quantity and the second quantity of reserved passengers in a second preset time before the current time.

In another possible implementation, the order information includes passenger attribute information; the determining module is further used for responding to historical order information of the un-reserved passenger, and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the historical order information; or,

In another possible implementation manner, the historical order information includes historical booking times of each vehicle type; the determining module is further configured to determine a reservation expected value of each vehicle type in the target riding time period according to the historical reservation times of each vehicle type; selecting the vehicle type with the reservation expected value larger than a first preset expected value from the plurality of vehicle types according to the reservation expected value of each vehicle type; the selected vehicle type is used as the vehicle type selected to be reserved by the passenger not reserved; or,

In another possible implementation manner, the determining module is further configured to determine attribute characteristics of the un-reserved passenger according to the passenger attribute information; determining a target group where the non-reserved passenger is located from a plurality of groups according to the attribute characteristics; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the vehicle type selected to be reserved by each passenger in the target group in the target riding time period.

the third acquisition module is used for acquiring the vehicle information and the current position information of the current vehicle;

the system comprises a sending module, a receiving module and a processing module, wherein the sending module is used for sending an acquisition instruction of order heating power information to a server, the acquisition instruction carries the vehicle information and the position information, the server is used for acquiring the order heating power information corresponding to the vehicle information in a target riding time period of a plurality of areas according to the vehicle information and the position information, and the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle;

the receiving module is used for receiving the order thermodynamic information corresponding to each area sent by the server;

and the display module is used for displaying the order thermodynamic information corresponding to each area.

In a possible implementation manner, the order thermodynamic information includes a second order quantity and a density level corresponding to the second order quantity; the display module is also used for displaying an electronic map and marking each area in the electronic map; for each area, marking a second order quantity corresponding to the area in the area; and determining a mark icon corresponding to the density grade, and displaying the mark icon in the area.

In another possible implementation manner, the display module is further configured to display a target application interface, where the target application interface includes a time selection button; responding to the triggering of the time selection button, acquiring the current time, and determining the target riding time period of the current time according to the current time; or,

According to another aspect of embodiments of the present application, there is provided a server, including: the order thermal information acquisition system comprises a processor and a memory, wherein at least one instruction is stored in the memory, and is loaded and executed by the processor to realize the operation in the method for acquiring order thermal information in any one of the possible implementation manners.

According to another aspect of the embodiments of the present application, there is provided a terminal, including: the order thermal information acquisition system comprises a processor and a memory, wherein at least one instruction is stored in the memory, and is loaded and executed by the processor to realize the operation in the method for acquiring order thermal information in any one of the possible implementation manners.

According to another aspect of the embodiments of the present application, there is provided a computer-readable storage medium having at least one instruction stored therein, where the at least one instruction is loaded by a processor and executed to implement the operations in the method for obtaining order thermal information according to any one of the above-mentioned possible implementation manners.

According to another aspect of the embodiments of the present application, there is provided a computer program product, which includes one or more computer programs that are loaded and executed by a processor to implement the operations in the method for obtaining order thermal information according to any one of the above-mentioned possible implementation manners.

In the embodiment of the application, an acquisition instruction of order thermodynamic information sent by a first terminal is received; the first terminal is a terminal used by a network car booking driver and used for acquiring the vehicle information and the position information of the vehicle carried by the instruction; obtaining order information of passengers in a plurality of areas according to the position information; the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle; determining a first order quantity of each vehicle type in each region in a target riding time period according to order information of passengers; according to the first order quantity and the vehicle information, obtaining order thermodynamic information corresponding to the vehicle information in the target riding time period of each area; and sending the order heating power information of each area to the first terminal. In the embodiment of the application, the order information of passengers in a plurality of areas is obtained according to the position information, the first order quantity of each vehicle type in the target riding time period of each area is determined according to the order information of the passengers, and then the order thermodynamic information corresponding to the vehicle information in the target riding time period of each area is determined; instead of predicting the order quantity of all vehicle types through historical orders, the influence of random change of the order quantity is reduced, and therefore the accuracy of order thermodynamic information is improved. In addition, the order thermal information corresponding to different vehicle information is different, so that the granularity of the order thermal information is reduced, and the accuracy of the order thermal information is improved. Therefore, the technical scheme improves the prediction effect of the order thermodynamic information.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;

fig. 2 is a flowchart of a method for obtaining order thermodynamic information according to an embodiment of the present disclosure;

FIG. 3 is a flowchart of another method for obtaining order thermal information according to an embodiment of the present disclosure;

FIG. 4 is a flowchart of another method for obtaining order thermal information according to an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of order information provided in an embodiment of the present application;

FIG. 6 is a flow chart of a method of training a first thermal model provided by an embodiment of the present application;

fig. 7 is a block diagram of an apparatus for obtaining order thermodynamic information according to an embodiment of the present disclosure;

fig. 8 is a block diagram of an apparatus for obtaining order thermodynamic information according to an embodiment of the present disclosure;

fig. 9 is a block diagram illustrating a structure of a terminal according to an embodiment of the present disclosure;

fig. 10 is a block diagram of a server according to an embodiment of the present disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application. Referring to fig. 1, the implementation environment includes a first terminal, a second terminal 102, and a server 103.

The first terminal 101 and the server 103 are connected through a wireless or wired network; the second terminal 102 and the server 103 are connected via a wireless or wired network. Moreover, the first terminal 101 and the second terminal 102 may be installed with a client that the server 103 provides services, and a user corresponding to the first terminal 101 and the second terminal 102 may implement functions such as data transmission and message interaction with the server 103 through the client. The client may be a client installed on the first terminal 101 and the second terminal 102 and including an online reservation function. Such as a web contract platform client.

The first terminal 101 and the second terminal 102 may be electronic devices with a positioning function, such as a mobile phone and a tablet computer. The server 103 may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center. In this embodiment, the first terminal 101 is a terminal used by a network car booking driver, and accordingly, the network car booking driver can obtain order thermodynamic information through a network booking platform client on the first terminal 101, and can check and receive a passenger's reservation order through the network booking platform client. The second terminal 102 is a terminal used by the passenger, and accordingly, the passenger can submit the reservation order through the client of the network reservation platform on the second terminal 102.

Fig. 2 is a flowchart for obtaining order thermodynamic information according to an embodiment of the present application. Referring to fig. 2, the method for obtaining order thermodynamic information includes the following steps:

201. the server receives an order heating power information acquisition instruction sent by the first terminal; the first terminal is a terminal used by a network car booking driver, and acquires vehicle information and position information of a vehicle carried by an instruction.

202. The server acquires order information of passengers in a plurality of areas according to the position information; the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle.

203. The server determines a first order quantity of each vehicle type in the target riding time period of each area according to the order information of the passengers.

204. The server acquires order thermal information corresponding to the vehicle information in the target riding time period of each area according to the first order quantity and the vehicle information; and sending the order heating power information of each area to the first terminal.

In one possible implementation, the passengers include an un-reserved passenger and a reserved passenger; determining a first order quantity of each vehicle type in each region in a target riding time period according to order information of passengers, wherein the method comprises the following steps:

the method comprises the steps of obtaining order information of an un-reserved passenger within a first preset time before the current time, and determining the vehicle type selected for reservation by the un-reserved passenger within a target riding time period according to the order information of the un-reserved passenger;

according to the vehicle type selected by the un-reserved passenger in the target riding time period, determining a first number of the un-reserved passenger corresponding to each vehicle type in each region in the target riding time period;

and determining the first order quantity of each vehicle type in each region in the target riding time period according to the first quantity and the second quantity of reserved passengers in a second preset time before the current time.

In another possible implementation, the order information includes passenger attribute information; according to the order information of the un-reserved passenger, determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period, wherein the method comprises the following steps:

responding to the situation that the non-reserved passenger does not have historical order information, and acquiring passenger attribute information of the non-reserved passenger according to the order information; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the passenger attribute information.

In another possible implementation manner, the historical order information includes historical booking times of each vehicle type; according to historical order information, determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period, wherein the method comprises the following steps:

determining a reserved expected value of each vehicle type in a target riding time period according to the historical reserved times of each vehicle type; selecting a vehicle type with a booking expected value larger than a first preset expected value from a plurality of vehicle types according to the booking expected value of each vehicle type; the selected vehicle type is used as the vehicle type selected to be reserved by the un-reserved passenger; or,

and inputting the historical order information into the first thermal model to obtain the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period.

In another possible implementation manner, determining that the non-reserved passenger selects the reserved vehicle type in the target riding time period according to the passenger attribute information includes:

determining a target group where the passenger is not reserved from the plurality of groups according to the attribute characteristics;

Fig. 3 is a flowchart of another method for obtaining order thermal information according to an embodiment of the present disclosure. Referring to fig. 3, the method for obtaining order thermodynamic information includes the following steps:

301. the first terminal acquires vehicle information and current position information of a current vehicle.

302. The first terminal sends an obtaining instruction of order thermal information to the server, the obtaining instruction carries vehicle information and position information, the server is used for obtaining the order thermal information corresponding to the vehicle information in a target riding time period in a plurality of areas according to the vehicle information and the position information, and the plurality of areas are a plurality of areas in a preset distance range around the current position of the vehicle.

303. The first terminal receives order heating power information corresponding to each area sent by the server.

304. The first terminal displays the order heating power information corresponding to each area.

In a possible implementation manner, the order thermodynamic information includes a second order quantity and a density level corresponding to the second order quantity; displaying order thermodynamic information corresponding to each area, including:

displaying the electronic map, and marking each area in the electronic map;

for each region, marking the region within the region corresponding to a second order quantity;

In another possible implementation manner, the acquisition instruction also carries a target riding time period; before sending the acquisition instruction of the order thermodynamic information to the server, the method further comprises the following steps:

displaying a target application interface, wherein the target application interface comprises a time selection button;

In the embodiment of the application, vehicle information and current position information of a current vehicle are acquired; sending an acquisition instruction of order thermodynamic information to a server, wherein the acquisition instruction carries vehicle information and position information, the server is used for acquiring the order thermodynamic information corresponding to the vehicle information in a target riding time period in a plurality of areas according to the vehicle information and the position information, and the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle; receiving order heating power information corresponding to each area sent by a server; and displaying the order thermodynamic information corresponding to each area. In the embodiment of the application, the order information of passengers in a plurality of areas is obtained according to the position information, the first order quantity of each vehicle type in the target riding time period of each area is determined according to the order information of the passengers, and then the order thermodynamic information corresponding to the vehicle information in the target riding time period of each area is determined; instead of predicting the order quantity of all vehicle types through historical orders, the influence of random change of the order quantity is reduced, and therefore the accuracy of order thermodynamic information is improved. In addition, the order thermal information corresponding to different vehicle information is different, so that the granularity of the order thermal information is reduced, and the accuracy of the order thermal information is improved. Therefore, the technical scheme improves the prediction effect of the order thermodynamic information.

Fig. 4 is a flowchart of another method for obtaining order thermal information according to an embodiment of the present disclosure. Referring to fig. 4, the method for obtaining order thermodynamic information includes the following steps:

401. the first terminal acquires vehicle information and current position information of a current vehicle.

In the embodiment of the application, the first terminal is a terminal used by a net appointment driver. In a possible implementation manner, when a vehicle reservation driver logs in a vehicle reservation platform client based on a first terminal, the electronic device acquires vehicle information and current position information of a current vehicle.

The vehicle information may be stored locally in the first terminal or in the server.

In a possible implementation manner, the vehicle information is stored locally in the first terminal, and accordingly, the obtaining, by the first terminal, the vehicle information of the current vehicle includes: the first terminal responds to a vehicle booking driver and generates an acquisition instruction for acquiring vehicle information based on a first terminal logging on a vehicle booking platform client; and the first terminal locally acquires the vehicle information from the first terminal according to the acquisition instruction.

In another possible implementation manner, the vehicle information of the current vehicle is associated with an account of a vehicle appointment driver, and the vehicle information can be stored in the server; the vehicle information may be stored in the server when the online car booking driver registers the account, or may be stored in the server after the online car booking driver registers the account. Correspondingly, the first terminal acquires the vehicle information of the current vehicle, and the method comprises the following steps: the method comprises the steps that a first terminal responds to a vehicle booking driver and sends an acquisition instruction for acquiring vehicle information to a server based on a first terminal logging in a vehicle booking platform client; the server receives the acquisition instruction, extracts the vehicle information of the current vehicle and returns the vehicle information to the first terminal; the first terminal acquires vehicle information of a current vehicle.

The first terminal can acquire the current position information through a GPS positioning function. Correspondingly, the first terminal acquires the current position information, and the method comprises the following steps: the first terminal responds to a network appointment driver and generates an acquisition instruction for acquiring current position information based on a first terminal logging-in network appointment platform client; and the first terminal acquires the current position information through the GPS positioning function according to the acquisition instruction.

In the embodiment of the present application, the vehicle information includes one or more of a service type of the vehicle and affiliate information of the vehicle.

The vehicle information may include, among other things, the type of service of the vehicle, e.g., economy, comfort, business, luxury, etc. The affiliate information of the vehicle may include an affiliate name; for example, a taxi, B taxi, C taxi, etc. In one possible implementation, the franchisee information may also include franchisee service information; referring to fig. 5, the service information of the franchisee includes basic information of the franchisee, for example, establishment time, registered funds; the service information of the franchisee includes passenger safety policy information of the franchisee, such as whether number protection is performed, whether car identification is performed, and whether recording is performed; the service information of the franchisee includes taxi taking price information of the franchisee, for example, an average estimated evaluation price per kilometer, an average value of a difference between an actual price per kilometer and the estimated price; the service information of the franchisee includes franchisee response and performance capability information, for example, franchisee response rate, franchisee response average time length, franchisee cancellation rate; the service information of the franchisee includes subsidy information of the franchisee, for example, a red envelope and a cash back amount; the service information of the franchisee includes service capability information of the franchisee, for example, a passenger complaint rate, and the like.

It should be noted that the vehicle information may also include both the service type of the vehicle and the affiliate information of the vehicle. For example, economy type a, economy type B, economy type C; comfortable type A, comfortable type B and the like.

The position information may be used to indicate the position of the vehicle on the electronic map, among other things. For example, the position information is used to represent a coordinate position of the vehicle on the electronic map, and for example, the position information is used to represent a street position of the vehicle on the electronic map. In another possible implementation, the location information may also be used to indicate a target location of the net car reservation driver based on the first terminal input.

402. The first terminal sends an acquisition instruction of the order heating power information to the server, and the acquisition instruction carries vehicle information and position information.

In the embodiment of the application, the first terminal can send an order thermal information acquisition instruction to the server based on a sending instruction triggered by a vehicle booking driver; the first terminal can also send an acquisition instruction of the order heating power information to the server according to a certain frequency.

In a possible implementation mode, the first terminal sends an order thermal information acquisition instruction to the server based on an operation instruction triggered by a vehicle booking driver; accordingly, the step may include: the first terminal detects the trigger operation and generates a sending instruction in response to the detection of the trigger operation; and the first terminal sends an acquisition instruction of the order heating power information to the server according to the sending instruction. The triggering operation may be a click operation on a send button in the first terminal display interface.

In the embodiment of the application, the first terminal can send the order thermal information acquisition instruction to the server based on the sending instruction triggered by the network car booking driver, and when the network car booking driver needs the order thermal information, the first terminal provides the order thermal information for the network car booking driver, so that the flexibility of acquiring the order thermal information is improved.

In another possible implementation manner, the first terminal sends an obtaining instruction for obtaining the order thermal information to the server every third preset time interval. Accordingly, the step may include: and the first terminal responds to the fact that the time interval between the current time and the time of sending the acquisition instruction last time reaches a third preset time length, and sends an acquisition instruction of the order thermodynamic information to the server. The third preset time period may be any value from 0s to 50s, for example, 5s, 10s, or 15 s; in the embodiment of the present application, the third preset time period is not specifically limited, and may be set and changed as needed.

In the embodiment of the application, the first terminal sends the order thermal information acquisition instruction to the server according to a certain frequency to acquire the order thermal information, so that the first terminal can provide the latest order thermal information for the taxi appointment driver, and the intelligence of the first terminal for acquiring the order thermal information is improved.

403. The server receives an acquisition instruction of the order heating power information sent by the first terminal.

404. The server acquires order information of passengers in a plurality of areas according to the position information; the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle.

In the embodiment of the present application, the preset distance range around the current position of the vehicle refers to a range in which the current position of the vehicle is used as a center of a circle and the preset distance is used as a radius. The plurality of areas are obtained by dividing a preset distance range around the current position of the vehicle.

In one possible implementation manner, the server obtains order information of passengers in a plurality of areas according to the position information, and the method includes: the server determines a preset distance range around the current position according to the position information; and dividing a preset distance range around the current position into a plurality of areas, and acquiring order information of passengers in each area.

The preset distance may be any value from 1 km to 20 km, for example, 5 km, 10 km or 15 km; in the embodiment of the present application, the preset distance is not specifically limited, and may be set and changed as needed.

In the embodiment of the application, the server may divide the preset distance range around the current position of the vehicle in the following three ways to obtain a plurality of areas.

The first mode is as follows: the server divides a plurality of areas according to the street information, and correspondingly, the server divides a preset distance range around the current position of the vehicle into a plurality of areas, including: the server acquires street information within a preset distance range around the current position, and divides the preset distance range around the current position of the vehicle into a plurality of areas according to the street information. The street information may be administrative streets, such as a region a, a region B, a region C, a region D, and the like. The street information may also be a street divided by road name, for example, an a-zone between a-way and B-way, a B-zone between B-way and C-way, a C-zone between C-way and d-way, and the like.

In the embodiment of the application, the server divides a plurality of areas according to the street information, and the network car booking driver can obtain order thermal information of different streets, so that the network car booking driver can navigate to a specific street to receive orders according to the order thermal information conveniently, and the reference of the order thermal information is improved.

The second mode is as follows: the server divides a plurality of areas according to the position information, and correspondingly, the server divides a preset distance range around the current position of the vehicle into a plurality of areas, including: the server acquires current azimuth information, and divides a preset distance range around the current position of the vehicle into a plurality of areas according to the azimuth information. Wherein, the azimuth information can be east, west, south and north; or east, west, south, north, southeast, northeast, southwest, and northwest.

In the embodiment of the application, the server divides a plurality of areas according to the direction information, and the network car booking driver can acquire order thermal information in different directions, so that the network car booking driver can navigate to a specific direction to receive orders according to the order thermal information conveniently, and the reference of the order thermal information is improved.

The third mode is as follows: the server divides a plurality of areas according to the angle information, and correspondingly, the server divides a preset distance range around the current position of the vehicle into a plurality of areas, including: the server acquires the angle information of each area, and divides a preset distance range around the current position of the vehicle into a plurality of areas according to the angle information of each area. The angle of each region may be the same or different. The server may equally divide a preset distance range around the current position into a plurality of regions according to the angle information. For example, the division into 4 regions on average; in this case, the angle of each zone is 90 degrees, and the plurality of zones may be a first quadrant zone of 0 to 90 degrees, a second quadrant zone of 90 to 180 degrees, a third quadrant zone of 180 to 270 degrees, and a fourth quadrant zone of 270 to 360 degrees.

In the embodiment of the application, the server divides a plurality of areas according to the angle information, and the network car booking driver can obtain order thermal information of different angles, so that the network car booking driver can navigate to a specific area to receive orders according to the order thermal information conveniently, and the reference of the order thermal information is improved.

In a possible implementation manner, a correspondence between the passenger identifier and the passenger order information is stored in the server, and accordingly, the server obtains the passenger order information of each area, including: the server acquires passenger identification of each regional passenger; and according to the passenger identification, obtaining the passenger order information of each area from the corresponding relation between the passenger identification and the passenger order information.

The server can acquire the passenger identification of the passenger when the passenger logs in the network contract platform client based on the second terminal. Accordingly, the server obtains passenger identification of the passenger in each area, including: the passenger logs in the client of the network contract platform based on the second terminal, and the second terminal sends a login request to the server; and the server receives the login request sent by the second terminal and acquires the passenger identification of the passenger in each area. Wherein the login request carries the passenger identification of the passenger.

In the embodiment of the application, the server acquires the passenger identification of the passenger when the passenger logs in the networking contract platform client based on the second terminal, further acquires the order information of the passenger in each area, and generates the order thermodynamic information.

In another possible implementation manner, the server may obtain the passenger identification of the passenger when the passenger selects the destination to generate the travel route based on the network platform client on the second terminal. Accordingly, the server obtains passenger identification of the passenger in each area, including: the passenger selects a destination to generate a trip journey based on the network contract platform client on the second terminal, and the second terminal sends trip journey information to the server; and the server receives the travel journey information sent by the second terminal and acquires the passenger identification of the passenger in each area. Wherein, carry passenger's passenger sign in the trip journey information.

In the embodiment of the application, when a passenger selects a destination to generate a trip route based on a network platform client on a second terminal, the server acquires a passenger identifier of the passenger, further acquires order information of the passenger in each area, and generates order thermodynamic information.

In the embodiment of the application, the order information comprises one or more of historical order information of the passenger and attribute information of the passenger.

In a possible implementation manner, the server may record the passenger order information each time the passenger finishes the order, and generate a corresponding relationship between the passenger identifier and the passenger's historical order information; the server stores the correspondence between the passenger identification and the passenger's historical order information.

The historical order information of the passenger can be one or more of the number of appointments of each vehicle type of the passenger in a fourth preset time length, the average expense per kilometer of the passenger in the fourth preset time length, the autonomous cancellation rate of the passenger in the fourth preset time length, the cancelled rate of the passenger in the fourth preset time length, the average waiting time length of the passenger in the fourth preset time length and the historical travel route of the passenger in the fourth preset time length. The historical travel route comprises starting point position information, terminal position information, path information and the like of the travel route. Wherein, the fourth preset time period can be one week, one month, three months, six months, etc.; in the embodiment of the present application, the fourth preset time period is not specifically limited, and may be set and changed as needed. For example, with continued reference to fig. 5, the fourth preset durations are one week, one month, and three months, respectively.

Wherein the attribute information of the passenger may include one or more of passenger account information and preference information of the passenger. With continued reference to fig. 5, the passenger account information includes the passenger's gender, the passenger's age, the passenger's region, the account period, the account registration duration, and the like. The preference information of the passenger includes price preference, price sensitivity, reward sensitivity, and weekday or holiday preference, etc.

In one possible implementation manner, when the passenger registers the account at the client of the network contract platform, the passenger inputs the passenger account information based on the second terminal. Correspondingly, the server stores the corresponding relation between the passenger identification and the passenger order information, and comprises the following steps: the second terminal sends a registration request to the server; the server receives a registration request sent by the second terminal; the registration request carries passenger account information; the server acquires passenger account information and generates a corresponding relation between the passenger identification and the passenger account information; the server stores the correspondence between the passenger identification and the passenger account information.

Note that the account cycle of the passenger includes a development period, a stabilization period, and a loss period; the server can also determine the account period of the passenger according to the using frequency of the passenger. Correspondingly, the server acquires the historical order information of the passenger; acquiring the vehicle using frequency of passengers according to historical order information; in response to the increase of the usage frequency of the passenger, determining the account period of the passenger as a development period; or, in response to the stable use frequency of the passenger, determining the account period of the passenger as a stable period; alternatively, in response to a passenger's reduced usage frequency, the passenger's account period is determined to be a loss of service period.

In the embodiment of the application, the server determines the account period of the passenger according to the passenger using frequency, and the authenticity of the account period of the passenger acquired by the server is increased.

Another point to be explained is that the server can determine the preference information of the passenger according to the historical order information of the passenger; generating a corresponding relation between the passenger identification and the preference information of the passenger; the server stores the correspondence between the passenger identification and the preference information of the passenger.

In one possible implementation manner, the preference information includes price preference, and the historical order information includes average consumption amount per kilometer within a fourth preset time length; correspondingly, the server acquires the historical order information of the passenger; according to historical order information, acquiring average consumption amount of passengers per kilometer; and determining the price preference of the passenger according to the average consumption amount per kilometer of the passenger.

Wherein the price preferences include a high price preference and a low price preference; correspondingly, the server determines the price preference of the passenger according to the average consumption amount per kilometer of the passenger, and comprises the following steps: the server responds that the average consumption amount of the passengers per kilometer exceeds a preset amount, and determines that the price preference of the passengers is a high price preference; or the average consumption amount per kilometer of the passengers exceeds the preset amount, and the price preference of the passengers is determined to be the low price preference. Wherein the preset amount can be any value between 2 and 5 yuan; in the embodiment of the present application, the value of the preset amount is not particularly limited.

In another possible implementation manner, the preference information includes price sensitivity, and the historical order information includes an average cost price change value per kilometer of each vehicle type and a change amount of times of reserving each vehicle type by the passenger within a fourth preset time length; correspondingly, the server acquires the historical order information of the passenger; acquiring the average consumption amount price change value of each vehicle type per kilometer and the number change of each vehicle type reserved by passengers within a fourth preset time length according to historical order information; and determining the price sensitivity of the passenger according to the average expense price change value per kilometer of each vehicle type and the change quantity of the times of reserving each vehicle type by the passenger.

It should be noted that, when the price change value of the average sum of money consumed per kilometer of each vehicle type is fixed, the larger the change amount of times of reserving each vehicle type by the passenger is, the higher the price sensitivity of the passenger is; the smaller the amount of change in the number of times that the passenger reserves each vehicle type is, the lower the price sensitivity of the passenger is.

In another possible implementation manner, the preference information includes reward sensitivity, and the historical order information includes a reward amount of the passenger within a fourth preset time period and a variation of the reservation times of the passenger; correspondingly, the server acquires the historical order information of the passenger; acquiring the reward amount of the passenger and the variation of the reservation times of the passenger within a fourth preset time length according to the historical order information; and determining the reward sensitivity of the passenger according to the reward amount of the passenger in the fourth preset time period and the variation of the reservation times of the passenger.

The point to be noted is that when the reward value of the passenger is fixed, the larger the variation of the passenger reservation times is, the higher the reward sensitivity of the passenger is; the smaller the amount of change in the passenger's reservation times, the lower the sensitivity of the passenger's reward.

In another possible implementation manner, the preference information includes a working day preference or a resting day preference, and the historical order information includes the booking times and the booking dates of the passengers within a fourth preset time length; correspondingly, the server acquires the historical order information of the passenger; acquiring the booking times and booking dates of passengers within a fourth preset time length according to historical order information; and determining date preference information of the passenger according to the booking times and the booking date of the passenger in the fourth preset time length.

The server determines date preference information of the passengers according to the booking times and the booking dates of the passengers in the fourth preset time length; the method comprises the following steps: the server acquires the average daily booking first times of the working days of the passengers and the average daily booking second times of the rest days according to the booking times and the booking dates of the passengers in the fourth preset time length; the server responds that the first times is larger than the second times; determining that the passenger is a weekday preference; or, in response to the first number of times being less than the second number of times; the passenger is determined to be a holiday preference.

In the embodiment of the application, the server determines the preference information of the passenger according to the historical order information of the passenger, so that the authenticity of the preference information of the passenger acquired by the server is improved.

405. The server determines a first order quantity of each vehicle type in the target riding time period of each area according to the order information of the passengers.

In the embodiments of the present application, a day includes a plurality of peak riding periods and a plurality of off-peak riding periods. The target riding time period may be a riding time period in which the current time is. The target riding time period can also be a target riding time period sent to the server by the network car booking driver based on the first terminal; the obtaining instruction can carry the target riding time period.

In one possible implementation manner, the first terminal may determine the target riding time period based on the current time of the network car booking driver sending the obtaining instruction. Correspondingly, the method for acquiring the input target riding time period by the first terminal comprises the following steps: the method comprises the steps that a first terminal displays a target application interface, and the target application interface comprises a time selection button; the first terminal responds to the triggering of the time selection button and acquires the current time; and the first terminal determines the target riding time period of the current time according to the current time.

With continued reference to fig. 5, the plurality of rush hour ride periods and the plurality of off-peak ride periods included in a day may be early peak, noon peak, late peak, and night periods. The riding time interval is a time interval which comprises starting time and ending time; the first terminal determines the riding time interval of the current time interval according to the time interval of the current time. The first terminal stores time interval information of each riding time period. For example, the time interval information stored in the first terminal is: the early peak period is 6 am to 9 am; the early peak-evening time period is from 9 am to 12 pm, the noon peak-evening time period is from 12 pm to 5 pm, and the late peak time period is from 5 pm to 8 pm; the nighttime hours were 8 pm to 6 pm.

In another possible implementation manner, the network car booking driver may also directly input the target riding time period, and accordingly, the server acquires the target riding time period, including: the method comprises the steps that a first terminal displays a target application interface, and the target application interface comprises a time selection button; the first terminal acquires the input target riding time period in response to the triggering of the time selection button. The first terminal sends the target riding time period to the server, and the server acquires the target riding time period. The target riding time period can be carried in the acquired instruction.

In one possible implementation, the passengers include an un-reserved passenger and a reserved passenger, and accordingly, the steps can be implemented by the following steps (1) to (3):

(1) the server acquires order information of the un-reserved passenger within a first preset time before the current time, and determines the vehicle type selected for reservation by the un-reserved passenger within the target riding time period according to the order information of the un-reserved passenger.

The first preset time period may be any value from 0s to 50s, for example, 5s, 10s, or 15 s; in the embodiment of the present application, the first preset duration is not specifically limited, and may be set and changed as needed.

In one possible implementation, the un-reserved passenger is an old passenger with historical order information. Accordingly, the step may include: the server responds to the fact that the un-reserved passenger has historical order information, and determines that the un-reserved passenger selects the reserved vehicle type within the target riding time period according to the historical order information.

The historical order information may include historical booking times of each vehicle type, and correspondingly, the server determines the vehicle type selected for booking by the un-booked passenger in the target riding time period according to the historical order information, and the method includes the following steps: the server determines the reservation expected value of each vehicle type in the target riding time period according to the historical reservation times of each vehicle type; selecting a vehicle type with a booking expected value larger than a first preset expected value from a plurality of vehicle types according to the booking expected value of each vehicle type; and taking the selected vehicle type as the vehicle type selected to be reserved by the un-reserved passenger.

The historical booking frequency of each vehicle type can be a booking frequency in a first historical preset time length; the first historical preset time period may be 1 week, 1 month, 3 months, etc. prior to the current time. In the embodiment of the present application, the first preset time period is not particularly limited. For example, the first historical preset duration may be 1 week, 1 month, and 3 months prior to the current time; accordingly, the historical reservation times of each vehicle type include the reservation times within 1 week before the current time, the reservation times within 1 month before the current time, and the reservation times within 3 months before the current time.

In one possible implementation manner, the server determines the expected reservation value of each vehicle type in each riding time period according to the historical reservation times of each vehicle type, and the method includes the following steps: the server determines the reservation probability of each vehicle type in each riding time period in the first historical preset time period according to the number of days in the first historical preset time period and the reservation times of each vehicle type in each riding time period in the first historical preset time period; according to the number of days of the first historical preset time and the reservation probability of each vehicle type in each riding time period in the first historical preset time; and determining the expected reservation value of each vehicle type in each riding time period.

The reservation probability of each vehicle type in the target riding time period can be the ratio of the reserved times of each vehicle type in the target riding time period of the un-reserved passengers to the number of days of the first historical preset time period.

In one possible implementation, the server may determine a reservation probability for each vehicle type according to a plurality of target riding time periods; and determining the expected reservation value of each vehicle type in the target riding time period.

When the number of the first historical preset time lengths is set to be n, referring to formula 1, the specific calculation logic of the reserved expected value of each vehicle type in the target riding time period is shown as formula 1:

equation 1:

wherein i is more than or equal to 1 and less than or equal to n, and i is an integer; n represents the value number of the first historical preset time; t is_iDays representing a first historical preset duration; p_iRepresenting the booking probability of each vehicle type in the first historical preset time of the un-booked passenger.

For example, n is 3, that is, the number of values of the first historical preset time duration is 3, and is 1 week before the current time; 1 month before the current time and 3 months before the current time. Wherein, the target riding time period is the early peak time period.

As can be seen from equation 1: the expected value E1 for economy type a at early peak hours is T1P1+ T2P2+ T3P 3. Wherein T1 is the number of days 1 week prior to the current time, i.e., 7; t2 is the number of days 1 month before the current time, i.e., 30; t3 is the number of days 3 months prior to the current time, i.e., 90; p1 is the booking probability of economy type a at the early peak hour 1 week before the current time of the un-booked passenger; p2 is the booking probability of economy type a at the early peak hour within 1 month before the current time of the un-booked passenger; p3 is the booking probability for economy type a at the early rush hour 3 months before the current time of the un-booked passenger.

In one possible implementation manner, the server selects a vehicle type with the expected reservation value larger than the first preset expected value from a plurality of vehicle types according to the expected reservation value of each vehicle type, and selects the reserved vehicle type for the un-reserved passenger in the riding time period. Wherein, the first preset expected value can be any one of 50 to 80, such as 50, 60 or 70; in the embodiment of the present application, the first preset expected value is not particularly limited, and may be set and changed as needed.

For example, the reservation expectation value of each vehicle type of the un-reserved passenger at the early peak hours is calculated by formula 1, as shown in table 1 below, see table 1:

TABLE 1

Vehicle type number	Vehicle model	Appointment expectation
			0	Economic type A	30
1	Economic type B	60
			2	Economic type C	40
3	Comfortable A type	40
			4	Comfortable type B	55
5	Business type A	30

When the first preset expected value is 50, the server determines that the vehicle type selected to be reserved by the un-reserved passenger is the vehicle type with the expected value more than 50 as follows: economic type B type and comfortable type B type, the motorcycle type serial number that corresponds is: 1 and 4.

It should be noted that, the server may further determine, through the first thermal model, a vehicle type that the passenger who is not reserved selects to reserve in the target riding time period, and correspondingly, the server determines, according to the historical order information, the vehicle type that the passenger who is not reserved selects to reserve in the target riding time period, including: and the server inputs the historical order information into the first thermal model, and obtains the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the historical travel information.

In another possible implementation manner, the un-reserved passenger is a new passenger without a historical order, the order information includes passenger attribute information of the un-reserved passenger, and accordingly, the step may include: the server responds to the situation that the un-reserved passenger does not have historical order information, and obtains passenger attribute information of the un-reserved passenger according to the order information; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the passenger attribute information.

In one possible implementation mode, the server determines a new passenger group according to passenger attribute information of the new passenger, and determines a vehicle type selected to be reserved by the new passenger according to a vehicle type selected to be reserved by a passenger with a historical travel record in the group. Correspondingly, the server determines the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the passenger attribute information, and the method comprises the following steps: the server determines attribute characteristics of the un-reserved passenger according to the passenger attribute information; determining a target group where the passenger is not reserved from the plurality of groups according to the attribute characteristics; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the vehicle type selected to be reserved by each passenger in the target group in the target riding time period.

In one possible implementation, the passenger attribute information includes passenger account information; the passenger account information comprises one or more of passenger gender, passenger age, passenger region, account period and account registration time. Correspondingly, the server determines the attribute characteristics of the un-reserved passenger according to the passenger attribute information; the method comprises the following steps: the server determines one or more of a gender attribute feature of the un-reserved passenger, an age attribute feature of the passenger, a region attribute feature of the passenger, an account cycle attribute feature of the passenger and an account registration duration attribute feature of the passenger according to the passenger attribute information.

In a possible implementation manner, the server divides passengers with historical travel orders into a same group according to the attribute characteristics of the passengers, and obtains a plurality of groups.

For example, the server acquires passenger gender attribute characteristics, passenger age attribute characteristics and passenger region attribute characteristics of passengers with historical travel orders; and classifying passengers with the same or similar gender attribute characteristics, age attribute characteristics and region attribute characteristics into the same group.

The server may select a group having the same passenger attribute characteristics as the target group from the plurality of groups according to the passenger attribute characteristics of the passenger who does not reserve.

For example, the passenger attribute characteristics of the un-reserved passenger are male, 25 years old, Beijing; the server selects a group of male, 25 years old, Beijing from a plurality of groups as a target group according to the passenger attribute characteristics of the passenger not reserved.

In one possible implementation manner, determining a vehicle type selected to be reserved by an un-reserved passenger in a target riding time period according to a vehicle type selected to be reserved by each passenger in a target group in the target riding time period comprises: and the server selects the reserved vehicle type according to the target riding time period of each passenger in the group, and takes the vehicle type with the largest number of reserved vehicle types as the vehicle type selected and reserved by the un-reserved passenger in the target riding time period.

(2) The server selects reserved vehicle types according to the reserved vehicles of the non-reserved passengers in the target riding time period, and determines the first number of the non-reserved passengers corresponding to each vehicle type in each region in the target riding time period.

In one possible implementation, the step may include: the server obtains the vehicle type selected by the un-reserved passenger in each region in the target riding time period, and counts the number of the un-reserved passengers in each region in the target riding time period according to the vehicle type to obtain the first number of the un-reserved passengers corresponding to each vehicle type in each region in the target riding time period.

(3) And the server determines the first order quantity of each vehicle type in the target riding time period of each area according to the first quantity and the second quantity of reserved passengers in a second preset time before the current time.

Wherein, the second preset time period may be any value from 1min to 50min, for example, 5min, 10min or 15 min; in the embodiment of the present application, the second preset duration is not specifically limited, and may be set and changed as needed.

In one possible implementation manner, the server determines a third number of reserved passengers corresponding to each vehicle type in each region in the target riding time period according to the ratio of the non-reserved passengers to the reserved passengers; and taking the third quantity and the second quantity of the reserved passengers in a second preset time before the current time as the first order quantity of each vehicle type in the target riding time period of each region.

Wherein, the specific calculation logic of the first order quantity is shown in formula 2, see formula 2,

equation 2:

wherein h represents a first order quantity;

a first number representing the number of non-reserved passengers corresponding to each vehicle type in each region; vt represents the ratio of the non-reserved passenger converted to the reserved passenger;

representing a second number of reserved passengers within a second preset time period before the current time.

For example, the first preset time period is set to be 15s, and the second preset time period is set to be 15 min; and calculating the first order quantity h1 of the economic type A in the area A from 7 o 'clock 01 min 00 s to 7 o' clock 01 min 15s in the early peak. Among them, of the passengers not reserved for the economical type A of the zone A

The first number is 100; the ratio Vt of the non-reserved passenger converted to the reserved passenger is 0.7; within 15min before 7 o 'clock and 01 min 00 sec, i.e. 6 o' clockSecond number of passengers having reserved economy type A between 46 minutes 00 seconds and 7 o' clock 01 minutes 00 seconds

Is 10; as can be seen from equation 1: h1 ═ 100 × 0.7+ 10; i.e. the first order quantity h1 is 80.

406. The server acquires order thermal information corresponding to the vehicle information in the target riding time period of each area according to the first order quantity and the vehicle information; and sending the order heating power information of each area to the first terminal.

In one possible implementation, the order thermodynamic information includes a second order quantity. Accordingly, the step may include: the server determines a second order quantity of the vehicle type corresponding to the vehicle information according to the first order quantity of each vehicle type in each regional target riding time period; and sending the second order quantity of each region of the vehicle type to the first terminal.

In another possible implementation manner, the order thermodynamic information further includes a density level corresponding to the second order quantity. Accordingly, the step may include: the server determines a vehicle type corresponding to the vehicle information according to the vehicle information; determining a second order quantity of the vehicle type corresponding to the vehicle information according to the first order quantity of each vehicle type in each regional target riding time period; determining a density grade corresponding to the second order quantity according to the second order quantity; and sending the density grade corresponding to the second order quantity of each region of the vehicle type to the first terminal.

In a possible implementation manner, the density levels may be divided into a plurality of density levels according to different order numbers, and a corresponding relationship between the order numbers and the density levels may be stored in the server; correspondingly, the server determines the density grade corresponding to the second order quantity according to the second order quantity, and the method comprises the following steps: and the server determines the density grade corresponding to the second order quantity from the stored corresponding relation between the order quantity and the density grade according to the second order quantity.

For example, the density levels may be classified into 1, 2, 3, 4, and 5 levels; the corresponding relationship between the density grade and the order quantity is shown in formula 3:

equation 3:

wherein H represents a density grade; h represents the order quantity; threshold2 (threshold 2) represents a second density level threshold; threshold3 (threshold 3) represents a third density level threshold; threshold4 (threshold 4) represents a fourth density level threshold; threshold5 (threshold 5) represents a fifth density level threshold.

407. The first terminal receives order heating power information corresponding to each area sent by the server.

408. The first terminal displays the order heating power information corresponding to each area.

In a possible implementation manner, the order thermodynamic information includes a second order quantity and a density level corresponding to the second order quantity; accordingly, the step may include: the method comprises the steps that a first terminal displays an electronic map, and each area is marked in the electronic map; for each region, marking the region within the region corresponding to a second order quantity; and determining a mark icon corresponding to the density grade, and displaying the mark icon in the area.

In one possible implementation manner, the marker icons may be different colors, and the first terminal may represent different density levels by the different colors; the first terminal may have a color to density level correspondence stored therein. Correspondingly, the first terminal determines the marker icon corresponding to the density level, and the determining includes: and the first terminal determines the color corresponding to each area density grade from the stored correspondence between the color and the density grade according to each area density grade.

For example, thermal level 1 corresponds to yellow, thermal level 2 corresponds to orange, thermal level 3 corresponds to light red, thermal level 4 corresponds to red, and thermal level 5 corresponds to deep red.

In the embodiment of the application, an acquisition instruction of order thermodynamic information sent by a first terminal is received; the first terminal is a terminal used by a network car booking driver and used for acquiring the vehicle information and the position information of the vehicle carried by the instruction; obtaining order information of passengers in a plurality of areas according to the position information; the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle; determining a first order quantity of each vehicle type in each region in a target riding time period according to order information of passengers; according to the first order quantity and the vehicle information, obtaining order thermodynamic information corresponding to the vehicle information in the target riding time period of each area; and sending the order heating power information of each area to the first terminal. In the embodiment of the application, the order information of passengers in a plurality of areas is obtained according to the position information, the first order quantity of each vehicle type in the target riding time period of each area is determined according to the order information of the passengers, and then the order thermodynamic information corresponding to the vehicle information in the target riding time period of each area is determined; instead of predicting the order quantity of all vehicle types through historical orders, the influence of the randomness of the order quantity is reduced, and therefore the accuracy of order thermodynamic information is improved. In addition, the order thermal information corresponding to different vehicle information is different, so that the granularity of the order thermal information is reduced, and the accuracy of the order thermal information is improved. Therefore, the technical scheme improves the prediction effect of the order thermodynamic information.

Fig. 6 is a flowchart of a method for training a first thermal model according to an embodiment of the present disclosure. In the embodiment of the present application, the example in which the server trains the first thermal model through deep learning is taken as an example for explanation. Referring to fig. 6, the method includes the steps of:

601. the server acquires sample data, wherein the sample data comprises order information of passengers.

In an embodiment of the present application, the sample data may include training data and test data; and the order information of the passengers in the training data is used for obtaining a second thermal value model through correlation analysis for training to obtain a first thermal value model. And the passenger order information in the test data is used for training the second thermal value model through deep learning to obtain the first thermal value model.

The passenger order information comprises one or more of historical order information of the passenger and attribute information of the passenger. The method for obtaining the passenger order information in this step is the same as that in step 304, and is not described herein again.

602. And the server determines the vehicle type selected to be reserved by the passenger in each riding time period according to the order information.

The step is the same as the method for determining the vehicle type selected by the passenger to be reserved in the riding time period according to the order information in the step 405, and is not repeated herein.

603. And the server performs characteristic correlation analysis on the order information of the passengers in the training data and the vehicle types selected and reserved by the passengers in each riding time period to obtain a second thermal model.

In one possible implementation, the passenger's order information includes passenger account information and passenger preference information. Accordingly, this step may include; the server determines a first weight of the passenger account information in the second thermal value model according to the correlation between the passenger account information and the vehicle type selected to be reserved, and determines a second weight of the passenger preference information in the second thermal value model according to the correlation between the vehicle type selected to be reserved and the passenger preference information; and obtaining a second thermal value model according to the passenger account information, the passenger preference information, the first weight and the second weight.

In one possible implementation manner, the passenger account information includes passenger gender information, passenger age information, passenger region information, account cycle information, account registration duration information, and other pieces of passenger account information. The server respectively determines a plurality of correlations between each piece of passenger account information and the vehicle type selected for reservation, such as passenger gender information, passenger age information, passenger region information, account period information, account registration duration information and the like, and determines the weight of each piece of passenger account information according to the strength of the correlation of each piece of passenger account information; and taking the average value of the plurality of weights as a first weight of the passenger account information in the second thermal value model.

In one possible implementation, the passenger preference information includes a plurality of passenger preference information including price preference information, price sensitivity information, reward sensitivity information, and weekday or holiday preference information. The server respectively determines a plurality of correlations between each piece of passenger preference information and the vehicle type selected for reservation, such as price preference information, price sensitivity information, reward sensitivity information, weekday or holiday preference information and the like, and determines the weight of each piece of passenger preference information according to the strength of the correlation of each piece of passenger preference information; and taking the average value of the plurality of weights as a second weight of the passenger preference information in the second thermal value model.

The server performs noise, deficiency processing and feature normalization processing on the order information of the passengers in the training data before performing feature correlation analysis on the order information of the passengers in the training data and the vehicle type selected and reserved by the passengers in each riding time period. The server processes the order information of the passenger in noise and deficiency, namely the server deletes error data in the order information of the passenger. For example, if the passenger age information is 180, the server deletes the data of which the passenger age information is 180. The server normalizes the order information characteristics of the passengers, so that the weights determined by the server according to the order information of different passengers can be added to calculate the average value of the weights.

604. And the server trains the second thermal value model through deep learning according to the test data to obtain a first thermal value model.

In the embodiment of the application, the order information of the passenger comprises historical order information of the passenger and attribute information of the passenger; accordingly, the step may include: the server inputs the attribute information of the passengers with the test data into a second thermal value model to obtain first vehicle type information selected and reserved by the passengers in a target riding time period; determining second vehicle type information actually reserved by the passenger in the target riding time period through historical order information of the test data; and adjusting the first weight of the passenger account information and the second weight of the passenger preference information according to the first vehicle type information and the second vehicle type information to obtain a first thermal value model. The first vehicle type information is used for predicting and selecting a reserved vehicle type through a second thermal value model by the server; the second vehicle type information is a vehicle type actually selected from the historical order information.

In one possible implementation manner, the server adjusts a first weight of the passenger account information and a second weight of the passenger preference information according to the first vehicle type information and the second vehicle type information to obtain a first thermal value model, including: the server adjusts a first weight of the passenger account information and a second weight of the passenger preference information in the second thermal value model in response to the first vehicle type information and the second vehicle type information being different; inputting the attribute information of the passengers of the test data into the second thermal value model again to obtain the information of a third vehicle type selected and reserved by the passengers in the target riding time period; determining a first weight of passenger account information and a second weight of passenger preference information to obtain a first thermal value model in response to the first vehicle type information and the third vehicle type information being the same; and in response to the fact that the first vehicle type information is different from the third vehicle type information, continuously adjusting the first weight of the passenger account information and the second weight of the passenger preference information in the second thermal value model until the second thermal value model obtains that the vehicle type information selected and reserved by the passenger in the target riding time period is the same as the first vehicle type information.

Fig. 7 is a schematic structural diagram of a network isolation device according to an embodiment of the present application. Referring to fig. 7, the apparatus includes:

the receiving module is used for receiving an order thermodynamic information acquisition instruction sent by the first terminal; the first terminal is a terminal used by a network car booking driver and used for acquiring the vehicle information and the position information of the vehicle carried by the instruction;

the first acquisition module is used for acquiring the order information of passengers in a plurality of areas according to the position information; the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle;

the determining module is used for determining the first order quantity of each vehicle type in the target riding time period of each area according to the order information of the passengers;

the second acquisition module is used for acquiring order thermal information corresponding to the vehicle information in the target riding time period of each area according to the first order quantity and the vehicle information; and sending the order heating power information of each area to the first terminal.

In one possible implementation, the passengers include an un-reserved passenger and a reserved passenger; the determining module is further used for acquiring order information of the un-reserved passenger within a first preset time before the current time, and determining the vehicle type selected to be reserved by the un-reserved passenger within the target riding time period according to the order information of the un-reserved passenger; according to the vehicle type selected by the un-reserved passenger in the target riding time period, determining a first number of the un-reserved passenger corresponding to each vehicle type in each region in the target riding time period; and determining the first order quantity of each vehicle type in each region in the target riding time period according to the first quantity and the second quantity of reserved passengers in a second preset time before the current time.

In another possible implementation, the order information includes passenger attribute information; the determining module is further used for responding to historical order information of the un-reserved passenger, and determining the vehicle type selected for reservation by the un-reserved passenger in the target riding time period according to the historical order information; or,

In another possible implementation manner, the historical order information includes historical booking times of each vehicle type; the determining module is further used for determining a reserved expected value of each vehicle type in a target riding time period according to the historical reserved times of each vehicle type; selecting a vehicle type with a booking expected value larger than a first preset expected value from a plurality of vehicle types according to the booking expected value of each vehicle type; the selected vehicle type is used as the vehicle type selected to be reserved by the un-reserved passenger; or,

In another possible implementation manner, the determining module is further configured to determine attribute characteristics of the un-reserved passenger according to the passenger attribute information; determining a target group where the passenger is not reserved from the plurality of groups according to the attribute characteristics; and determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the vehicle type selected to be reserved by each passenger in the target group in the target riding time period.

Fig. 8 is a schematic structural diagram of a network isolation device according to an embodiment of the present application. Referring to fig. 8, the apparatus includes:

the system comprises a sending module, a server and a control module, wherein the sending module is used for sending an acquisition instruction of order thermodynamic information to the server, the acquisition instruction carries vehicle information and position information, the server is used for acquiring the order thermodynamic information corresponding to the vehicle information in a target riding time period in a plurality of areas according to the vehicle information and the position information, and the plurality of areas are a plurality of areas within a preset distance range around the current position of the vehicle;

the receiving module is used for receiving order thermodynamic information corresponding to each area sent by the server;

In a possible implementation manner, the order thermodynamic information includes a second order quantity and a density level corresponding to the second order quantity; the display module is also used for displaying the electronic map and marking each area in the electronic map; for each region, marking a second order quantity corresponding to the region within the region; and determining a mark icon corresponding to the density grade, and displaying the mark icon in the area.

The points to be explained are: in the above-described embodiment, when acquiring the order thermodynamic information, the apparatus for acquiring the order thermodynamic information is only illustrated by dividing the functional modules, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the server is divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus for obtaining order thermodynamic information and the method for obtaining order thermodynamic information provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

Fig. 9 is a block diagram of a terminal 900 according to an embodiment of the present disclosure, where the terminal 900 may be a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio L layer III, mpeg Audio layer 3), an MP4 player (Moving Picture Experts Group Audio L layer IV, mpeg Audio layer 4), a notebook computer, or a desktop computer.

In general, terminal 900 includes: a processor 901 and a memory 902.

The processor 901 may include one or more Processing cores, such as a 4-core processor, an 8-core processor, etc., the processor 901 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), a P L a (Programmable logic Array), the processor 901 may also include a main processor and a coprocessor, the main processor being a processor for Processing data in a wake-up state, also known as a CPU (Central Processing Unit), the coprocessor being a low-power processor for Processing data in a standby state, in some embodiments, the processor 901 may be integrated with a GPU (Graphics Processing Unit) for rendering and rendering content desired for a display screen, in some embodiments, the processor 901 may also include an intelligent processor for learning about AI operations.

Memory 902 may include one or more computer-readable storage media, which may be non-transitory. The memory 902 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 902 is used for storing at least one program code for execution by the processor 901 to implement the method for obtaining order thermal information provided by the method embodiments in the present application.

In some embodiments, terminal 900 can also optionally include: a peripheral interface 903 and at least one peripheral. The processor 901, memory 902, and peripheral interface 903 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 903 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 904, a touch display screen 905, a camera assembly 906, an audio circuit 907, a positioning assembly 908, and a power supply 909.

The peripheral interface 903 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 901 and the memory 902. In some embodiments, the processor 901, memory 902, and peripheral interface 903 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 901, the memory 902 and the peripheral interface 903 may be implemented on a separate chip or circuit board, which is not limited by this embodiment.

The Radio Frequency circuit 904 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 904 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 904 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 904 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 904 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 904 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.

The Display 905 is used to Display a UI (User Interface), which may include graphics, text, icons, video, and any combination thereof, when the Display 905 is a touch Display, the Display 905 also has the ability to capture touch signals on or over the surface of the Display 905, which may be input to the processor 901 for processing as control signals.

The camera assembly 906 is used to capture images or video. Optionally, camera assembly 906 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 906 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

Audio circuit 907 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 901 for processing, or inputting the electric signals to the radio frequency circuit 904 for realizing voice communication. For stereo sound acquisition or noise reduction purposes, the microphones may be multiple and disposed at different locations of the terminal 900. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 901 or the radio frequency circuit 904 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuit 907 may also include a headphone jack.

The positioning component 908 is used to locate the current geographic location of the terminal 900 to implement navigation or L BS (L geographic based Service). the positioning component 908 can be a positioning component based on the united states GPS (global positioning System), the beidou System of china, the graves System of russia, or the galileo System of the european union.

Power supply 909 is used to provide power to the various components in terminal 900. The power source 909 may be alternating current, direct current, disposable or rechargeable. When power source 909 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 900 can also include one or more sensors 910. The one or more sensors 910 include, but are not limited to: acceleration sensor 911, gyro sensor 912, pressure sensor 913, fingerprint sensor 914, optical sensor 915, and proximity sensor 916.

The acceleration sensor 911 can detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the terminal 900. For example, the acceleration sensor 911 may be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 901 can control the touch display 905 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 911. The acceleration sensor 911 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 912 may detect a body direction and a rotation angle of the terminal 900, and the gyro sensor 912 may cooperate with the acceleration sensor 911 to acquire a 3D motion of the user on the terminal 900. The processor 901 can implement the following functions according to the data collected by the gyro sensor 912: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 913 may be disposed on the side bezel of terminal 900 and/or underneath touch display 905. When the pressure sensor 913 is disposed on the side frame of the terminal 900, the user's holding signal of the terminal 900 may be detected, and the processor 901 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 913. When the pressure sensor 913 is disposed at a lower layer of the touch display 905, the processor 901 controls the operability control on the UI interface according to the pressure operation of the user on the touch display 905. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 914 is used for collecting fingerprints of a user, the identity of the user is identified by the processor 901 according to the fingerprints collected by the fingerprint sensor 914, or the identity of the user is identified by the fingerprint sensor 914 according to the collected fingerprints, when the identity of the user is identified as a credible identity, the user is authorized by the processor 901 to execute relevant sensitive operations, the sensitive operations comprise screen unlocking, encrypted information viewing, software downloading, payment, setting change and the like, the fingerprint sensor 914 can be arranged on the front side, the back side or the side of the terminal 900, when a physical key or a manufacturer L ogo is arranged on the terminal 900, the fingerprint sensor 914 can be integrated with the physical key or the manufacturer L ogo.

The optical sensor 915 is used to collect ambient light intensity. In one embodiment, the processor 901 may control the display brightness of the touch display 905 based on the ambient light intensity collected by the optical sensor 915. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 905 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 905 is turned down. In another embodiment, the processor 901 can also dynamically adjust the shooting parameters of the camera assembly 906 according to the ambient light intensity collected by the optical sensor 915.

Proximity sensor 916, also known as a distance sensor, is typically disposed on the front panel of terminal 900. The proximity sensor 916 is used to collect the distance between the user and the front face of the terminal 900. In one embodiment, when the proximity sensor 916 detects that the distance between the user and the front face of the terminal 900 gradually decreases, the processor 901 controls the touch display 905 to switch from the bright screen state to the dark screen state; when the proximity sensor 916 detects that the distance between the user and the front surface of the terminal 900 gradually becomes larger, the processor 901 controls the touch display 905 to switch from the breath screen state to the bright screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 9 does not constitute a limitation of terminal 900, and may include more or fewer components than those shown, or may combine certain components, or may employ a different arrangement of components.

Fig. 10 is a schematic structural diagram of a server provided in this embodiment of the present application, where the server 1000 may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 1001 and one or more memories 1002, where the memory 1002 stores at least one instruction, and the at least one instruction is loaded and executed by the processors 1001 to implement the method for obtaining order thermal information provided in the foregoing method embodiments. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server may also include other components for implementing the functions of the device, which are not described herein again.

The embodiment of the present application further provides a computer-readable storage medium, where at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is loaded and executed by a processor to implement the operations in the method for acquiring order thermal information according to any one of the foregoing possible implementation manners.

The present application further provides a computer program product, which includes one or more computer programs that are loaded by a processor and executed to implement the operations in the method for obtaining order thermal information according to any of the above-mentioned possible implementation manners.

It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a storage medium, and the storage medium may be a read-only memory, a magnetic disk, an optical disk, or the like.

The above description is only an alternative embodiment of the present application and should not be construed as limiting the present application, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for obtaining order thermal information, the method comprising:

2. The method of claim 1, wherein the passengers include an unsubscribed passenger and a reserved passenger; the determining the first order quantity of each vehicle type in each region in a target riding time period according to the order information of the passengers comprises the following steps:

3. The method of claim 2, wherein the order information includes passenger attribute information; the step of determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the order information of the un-reserved passenger comprises the following steps:

4. The method of claim 3, wherein the historical order information includes historical booking times for each vehicle model; the step of determining the vehicle type selected to be reserved by the un-reserved passenger in the target riding time period according to the historical order information comprises the following steps:

5. The method of claim 3, wherein the determining that the un-reserved passenger selects the reserved vehicle type within the target riding time period according to the passenger attribute information comprises:

6. A method for obtaining order thermal information, the method comprising:

and displaying the order thermodynamic information corresponding to each area.

7. The method of claim 6, wherein the order thermodynamic information comprises a second order quantity and a density level corresponding to the second order quantity; the displaying of the order thermodynamic information corresponding to each area includes:

displaying an electronic map, and marking each area in the electronic map;

8. The method of claim 6, wherein the acquisition instruction further carries a target ride time period; before the sending the obtaining instruction of the order heating power information to the server, the method further includes:

9. An apparatus for obtaining thermodynamic information for an order, the apparatus comprising:

10. An apparatus for obtaining thermodynamic information for an order, the apparatus comprising:

11. A server, characterized in that the server comprises:

a processor and a memory, the memory having stored therein at least one instruction, the at least one instruction being loaded and executed by the processor to implement operations in the method of obtaining order thermal information of any of claims 1 to 5.

12. A terminal, characterized in that the terminal comprises:

a processor and a memory, the memory having stored therein at least one instruction, the at least one instruction being loaded and executed by the processor to carry out operations in the method of obtaining order thermal information of any of claims 6 to 8.

13. A computer-readable storage medium having stored therein at least one instruction, which is loaded and executed by a processor to perform the operations performed in the method for obtaining order thermal information as claimed in any one of claims 1 to 8.