CN110837518B

CN110837518B - Track data processing method and device

Info

Publication number: CN110837518B
Application number: CN201911108629.7A
Authority: CN
Inventors: 陈世伟
Original assignee: Guangzhou Xiaopeng Motors Technology Co Ltd
Current assignee: Guangzhou Xiaopeng Motors Technology Co Ltd
Priority date: 2019-11-13
Filing date: 2019-11-13
Publication date: 2022-12-13
Anticipated expiration: 2039-11-13
Also published as: CN110837518A

Abstract

The embodiment of the invention provides a track data processing method and a device, wherein the method comprises the following steps: the method comprises the steps of obtaining the running track data of a vehicle, determining response data of the vehicle corresponding to a terminal when an obtaining request sent by the terminal is received, generating feedback data based on the response data and sending the feedback data to the terminal, wherein the response data comprise historical running track data of the vehicle corresponding to the terminal. By storing the driving track data of the vehicle at the server side, the server side can generate feedback data according to the historical driving track data of the vehicle and send the feedback data to the terminal, so that a user can check the complete driving track of the vehicle.

Description

Track data processing method and device

Technical Field

The present invention relates to the field of vehicle trajectory technologies, and in particular, to a trajectory data processing method and a trajectory data processing apparatus.

Background

With the rapid development of the automobile industry, automobiles become indispensable transportation tools for people. The usability, safety, usability and comfort of the automobile are increasingly becoming important bases for measuring the added value of the automobile at present.

At present, automobiles are generally provided with a navigation device, and route navigation is performed through the navigation device, so that convenience of a user in driving the automobile is improved. In an application scene of an automobile, a user may need to check a complete route through which the user drives the automobile, however, the user cannot check the complete historical driving track of the user, and the user cannot perform interactive application on the historical driving track, so that the interest and the playability of daily driving behaviors of the user are low.

Disclosure of Invention

In view of the above problems, embodiments of the present invention are proposed to provide a trajectory data processing method and a corresponding trajectory data processing apparatus that overcome or at least partially solve the above problems.

In order to solve the above problem, an embodiment of the present invention discloses a trajectory data processing method, including:

acquiring running track data of a vehicle;

when an acquisition request sent by a terminal is received, determining response data of a vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

and generating feedback data based on the response data, and sending the feedback data to the terminal.

Optionally, the determining response data of the vehicle corresponding to the terminal includes:

searching historical driving track data of a vehicle corresponding to the terminal in a preset database;

the generating feedback data based on the response data comprises:

and generating historical driving track feedback data by adopting the historical driving track data of the vehicle corresponding to the terminal.

Optionally, the response data further includes historical driving track data in a preset area; the determining response data of the vehicle corresponding to the terminal further includes:

determining a target preset area where a vehicle corresponding to the terminal is located from the preset area;

searching historical driving track data in the target preset area in a preset database;

the generating feedback data based on the response data comprises:

and generating regional running track feedback data by adopting the historical running track data in the target preset region.

Optionally, the response data further includes: the degree of match between vehicles; the determining response data of the vehicle corresponding to the terminal further includes:

respectively calculating the matching degree between the vehicle corresponding to the terminal and the vehicle in the target preset area; the matching degree is the contact degree of the historical driving track data of the vehicle;

the generating feedback data based on the response data comprises:

determining users corresponding to vehicles with matching degrees larger than or equal to a preset threshold value as recommended friends;

and generating friend feedback data by adopting the recommended friends and the corresponding matching degrees.

Optionally, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the determining response data of the vehicle corresponding to the terminal further includes:

searching accumulated information of a vehicle corresponding to the terminal in a preset database;

the generating feedback data based on the response data comprises:

determining task point information and/or ranking information of the vehicle corresponding to the terminal by adopting the accumulated information of the vehicle corresponding to the terminal;

and generating integral feedback data by adopting the accumulated information and the task integral information and/or the ranking information.

Optionally, the response data further includes energy consumption information, and the determining the response data of the vehicle corresponding to the terminal includes:

acquiring energy consumption information corresponding to historical driving track data of a vehicle corresponding to the terminal;

the generating feedback data based on the response data comprises:

and generating energy consumption feedback data by adopting energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal.

Optionally, after acquiring the driving track data of the vehicle, the method further includes:

determining historical driving track data of the vehicle in a preset database;

and merging the running track data of the vehicle with the historical running track data to generate new historical running track data.

The embodiment of the invention also discloses a track data processing method, which is applied to the terminal side and comprises the following steps:

sending an acquisition request to a server;

after the server responds to the acquisition request and determines response data of a vehicle corresponding to the terminal, feedback data generated based on the response data are received; the response data comprises historical driving track data of a vehicle corresponding to the terminal;

generating a first view using the feedback data;

the first view is shown.

Optionally, the first view includes a first trajectory curve formed by historical travel trajectory data of a vehicle corresponding to the terminal; the generating a first view using the response data includes:

and generating the first view by adopting the first track curve.

Optionally, the response data further includes: historical driving track data in a preset area, wherein the first view comprises a second track curve formed by the historical driving track data in the preset area; the generating a first view using the response data further comprises: and generating the first view by adopting the generated second track curve.

Optionally, the response data further includes energy consumption information, and the generating a first view by using the feedback data further includes:

and generating the first view by adopting the energy consumption information.

Optionally, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the generating a first view using the feedback data includes:

and generating the first view by adopting the accumulated information of the vehicle corresponding to the terminal.

Optionally, the response data further includes: task point information and/or ranking information determined for the accumulated information; the generating a first view using the feedback data includes:

and generating the first view by adopting the task point information and/or the ranking information determined aiming at the accumulated information.

Optionally, the response data further includes: the degree of match between vehicles; the generating a first view using the response data includes:

and generating a first view by adopting the recommended friends determined according to the matching degree between the vehicles and the corresponding matching degree.

Optionally, the method further includes:

and adding friends in a preset friend recommending interface, and adding the recommended friends into friends.

Optionally, the method further includes:

receiving point pickup operation of a user when the historical driving track data of the vehicle corresponding to the terminal meets a point pickup condition;

updating the first view according to the integral obtaining operation to generate a second view;

the second view is shown.

The embodiment of the invention also discloses a track data processing device, which comprises:

the track acquisition module is used for acquiring the driving track data of the vehicle;

the data determining module is used for determining response data of a vehicle corresponding to a terminal when an acquisition request sent by the terminal is received; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

and the data sending module is used for generating feedback data based on the response data and sending the feedback data to the terminal.

Optionally, the data determining module includes:

the first searching submodule is used for searching the historical driving track data of the vehicle corresponding to the terminal in a preset database;

the data transmission module comprises:

and the first feedback data generation submodule is used for generating historical driving track feedback data by adopting the historical driving track data of the vehicle corresponding to the terminal.

Optionally, the response data further includes historical driving track data in a preset area; the data determination module further comprises:

the target preset area determining submodule is used for determining a target preset area where a vehicle corresponding to the terminal is located from the preset area;

the second searching submodule is used for searching the historical driving track data in the target preset area in a preset database;

the data transmission module comprises:

and the second feedback data generation submodule is used for generating regional running track feedback data by adopting the historical running track data in the target preset region.

Optionally, the response data further includes: the degree of match between vehicles; the data determination module further comprises:

the matching degree calculation operator module is used for calculating the matching degree of the vehicle corresponding to the terminal and the vehicle in the target preset area respectively; the matching degree is the contact degree of the historical driving track data of the vehicle;

the data transmission module comprises:

the friend recommendation determining sub-module is used for determining users corresponding to the vehicles with the matching degree larger than or equal to a preset threshold value as friend recommendations;

and the third feedback data generation sub-module is used for generating friend feedback data by adopting the recommended friends and the corresponding matching degrees.

Optionally, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the data determination module further comprises:

the third searching submodule is used for searching the accumulated information of the vehicle corresponding to the terminal in a preset database;

the data transmission module comprises:

the fourth feedback data generation submodule is used for determining task point information and/or ranking information of the vehicle corresponding to the terminal by adopting the accumulated information of the vehicle corresponding to the terminal;

Optionally, the response data further includes energy consumption information, and the data determining module includes:

the acquisition submodule is used for acquiring energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal;

the data transmission module comprises:

and the fifth feedback data generation submodule is used for generating energy consumption feedback data by adopting energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal.

Optionally, the apparatus further includes the following modules:

the data determination module is used for determining historical driving track data of the vehicle in a preset database;

and the data merging module is used for merging the running track data of the vehicle with the historical running track data to generate new historical running track data.

The embodiment of the invention also discloses a track data processing device, which is applied to a terminal and comprises the following components:

the request sending module is used for sending a track acquisition request to the server;

the data receiving module is used for receiving feedback data generated based on the response data after the server responds to the acquisition request and determines the response data of the vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

the view generation module is used for generating a first view by adopting the feedback data;

and the view display module is used for displaying the first view.

Optionally, the first view includes a first trajectory curve formed by historical travel trajectory data of a vehicle corresponding to the terminal; the view generation module comprises:

and the first view generation submodule is used for generating the first view by adopting the first track curve.

Optionally, the response data further includes: historical driving track data in a preset area, wherein the first view comprises a second track curve formed by the historical driving track data in the preset area; the view generation module further includes:

and the second view generation submodule is used for generating the first view by adopting the generated second track curve.

Optionally, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the view generation module comprises:

and the third view generation submodule is used for generating the first view by adopting the accumulated information of the vehicle corresponding to the terminal.

and the fourth view generation submodule is used for generating the first view by adopting the task point information and/or the ranking information determined aiming at the accumulated information.

Optionally, the response data further includes: the degree of match between vehicles; the view generation module comprises:

and the fifth view generation submodule is used for generating the first view by adopting the recommended friends determined according to the matching degree between the vehicles and the corresponding matching degree.

Optionally, the view generating module further includes:

and the sixth view generation submodule is used for generating the first view by adopting the energy consumption information.

Optionally, the method further includes:

and the friend adding module is used for adding friends in a preset friend recommending interface and adding the recommended friends into friends.

Optionally, the apparatus may further include the following modules:

the terminal comprises an integral obtaining operation receiving module, a judging module and a judging module, wherein the integral obtaining operation receiving module is used for receiving the integral obtaining operation of a user when the historical driving track data of the vehicle corresponding to the terminal meets an integral obtaining condition;

the view updating module is used for updating the first view according to the point obtaining operation and generating a second view;

and the second view display module is used for displaying the second view.

The embodiment of the invention also discloses a vehicle, which comprises:

one or more processors; and

one or more machine readable media having instructions stored thereon which, when executed by the one or more processors, cause the vehicle to perform one or more of the method steps as described in embodiments of the invention.

Embodiments of the invention also disclose a computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform one or more of the method steps as described in embodiments of the invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, by acquiring the running track data of the vehicle, when an acquisition request sent by a terminal is received, the response data of the vehicle corresponding to the terminal is determined, wherein the response data comprises the historical running track data of the vehicle corresponding to the terminal, the feedback data is generated based on the response data, and the feedback data is sent to the terminal. By storing the driving track data of the vehicle at the server side, the server side can generate feedback data according to the historical driving track data of the vehicle and send the feedback data to the terminal, so that a user can check the complete driving track of the vehicle.

Drawings

FIG. 1 is a flow chart of the steps of one embodiment of a trajectory data processing method of the present invention;

FIG. 2 is a flow chart of steps in another embodiment of a trajectory data processing method of the present invention;

FIG. 3 is a schematic illustration of a first view of the present invention;

FIG. 4 is a schematic view of another first view of the present invention;

FIG. 5 is a schematic view of another first view of the present invention;

FIG. 6 is a schematic view of another first view of the present invention;

FIG. 7 is a schematic view of another first view of the present invention;

FIG. 8 is a schematic view of another first view of the present invention;

FIG. 9 is a block diagram of an embodiment of a trajectory data processing device according to the present invention;

FIG. 10 is a flow chart of steps in another embodiment of a trajectory data processing method of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a trajectory data processing method according to the present invention is shown, which may specifically include the following steps:

step 101, acquiring running track data of a vehicle;

in the embodiment of the present invention, the trajectory data processing method may be applied to the server side. The server side may deploy a database for storing information of the vehicle, for example, storing historical driving track data of the vehicle, accumulated information of the vehicle, and the like.

In the driving process of the vehicle, the driving track data of the vehicle can be collected in real time through a terminal on the vehicle, wherein the driving track data can be track data formed by a plurality of position information in the driving process of the vehicle. Specifically, a TCU (Transmission Control Unit) may be installed on the vehicle, and the running track data of the vehicle is continuously collected by the TCU. It should be noted that, if the vehicle does not have the function of acquiring the driving track data, the driving track data of the vehicle may also be acquired through the mobile terminal of the driver, an APP (Application, application program) capable of acquiring positioning data is installed on the mobile terminal, and the APP is allowed to acquire the position information of the vehicle, so that the track data of the mobile terminal is acquired by using the APP, and at this time, the track data of the mobile terminal acquired by the APP may be equivalent to the driving track data of the vehicle.

In the embodiment of the invention, after the terminal acquires the driving track data of the vehicle, the driving track data of the vehicle can be sent to the server, so that the server can acquire and store the driving track data of the vehicle.

In a specific implementation, the driving trace data of the vehicle may carry a vehicle identifier, where the vehicle identifier is used to uniquely identify the vehicle corresponding to the driving trace data. When the server side stores the driving track data of the vehicle, the vehicle identification can be used as a Key word, so that when the driving track data of the vehicle is inquired, inquiry operation can be carried out according to the vehicle identification.

Step 102, when an acquisition request sent by a terminal is received, determining response data of a vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

when a user needs to acquire the driving track data of the user or other users, or when the user needs to acquire data such as task/ranking/point information of the user or other users, friend recommendation information and the like, an acquisition request can be sent to the server through the terminal. Specifically, the terminal may include a display screen, a User Interface (UI) Interface may be provided on the display screen of the terminal, the UI Interface may include an information input box and a submit button, and when the User inputs request information on the information input box of the User Interface and clicks the submit button, the terminal sends an acquisition request to the server side.

In the embodiment of the present invention, when the server side receives the acquisition request sent by the terminal, the server side may determine the response data of the vehicle corresponding to the terminal according to the acquisition request.

The obtaining request can include a vehicle identifier, and the server side can extract the vehicle identifier in the obtaining request and then determine response data of a vehicle corresponding to the terminal according to the vehicle identifier. The response data may include historical driving track data of the vehicle corresponding to the terminal, and the historical driving track data may refer to track data formed by a plurality of pieces of position information of the vehicle in the past time period of the vehicle.

And 103, generating feedback data based on the response data, and sending the feedback data to the terminal.

In the embodiment of the present invention, after the server side determines the response data of the vehicle corresponding to the terminal, the server side may generate feedback data based on the response data, and send the feedback data to the terminal.

By storing the driving track data of the vehicle at the server side, when a user needs to check the driving track data of the vehicle of the user or other users, the server side can determine the historical driving track data of the vehicle of the user or other users, render the historical driving track data into a track curve, and send the track curve to the terminal as feedback data, so that the user can check the complete track curve of the vehicle of the user or other users.

In addition, other information determined according to the traveling track data can be stored on the server side, wherein the information comprises task/ranking/point information, friend recommendation information and the like, when a user needs to check data such as task/ranking/point information, friend recommendation information and the like of the user or other users, the server side can determine data such as corresponding target task/target ranking/target point information, target friend recommendation information and the like according to an acquisition request, then feedback data is determined according to the data such as the target task/target ranking/target point information, the target friend recommendation information and the like, and the feedback data is sent to the terminal, so that the user can check the data such as the task/ranking/point information, the friend recommendation information and the like of the user or other users.

In a preferred embodiment of the present invention, the step 102 may include the following sub-steps:

and searching historical driving track data of the vehicle corresponding to the terminal in a preset database.

The preset database may be a database deployed on the server side, and the historical travel track data of the vehicle is stored in the preset database.

In a specific implementation, the track acquisition request may carry a vehicle identifier, and historical driving track data of a vehicle corresponding to the terminal may be searched in a preset database according to the vehicle identifier by extracting the vehicle identifier in the track acquisition request.

Generally, when data is stored in a preset database, a vehicle identifier is used as a Key primary Key value of each record in the preset database, and historical driving track data of a vehicle corresponding to a terminal can be searched by retrieving the Key value. For example, the vehicle identification may be: 11015, historical travel track data in records with a Key value of 11015 can be searched, namely historical travel track data of a vehicle corresponding to the terminal.

The step 103 may comprise the following sub-steps:

In the embodiment of the present invention, the server side may generate the historical travel track feedback data by using the historical travel track data of the vehicle corresponding to the terminal. Specifically, the server side may render the historical travel track data of the vehicle corresponding to the terminal, generate a track curve, and use the track curve as the historical travel track feedback data.

In a preferred embodiment of the present invention, the response data further includes historical travel track data in a preset area; the step 102 may further comprise the sub-steps of:

determining a target preset area where a vehicle corresponding to the terminal is located from the preset area; and searching historical driving track data in the target preset area in a preset database.

The preset area may be an area within a preset range in which the historical travel track data of the vehicle is located. For example, the preset area may be an area within a city where the historical driving trace data of the vehicle is located, or may be an area within a range of a regular pattern (e.g., a square, a circle) covering the historical driving trace data of the vehicle.

The target preset area where the vehicle corresponding to the terminal is located can be determined from the preset area according to the historical driving track data of the vehicle. For example, when the preset area is an area within a city where the historical travel track data of the vehicle is located, position information in the historical travel track data may be acquired, and the city where the historical travel track data of the vehicle is located may be determined as a target city according to the position information, so that the preset area corresponding to the target city may be a target preset area where the vehicle corresponding to the terminal is located. When the preset area is an area within a regular graph range covering the historical driving track data of the vehicle, the boundary of the range covered by the historical driving track data of the vehicle can be determined, the area within the regular graph range is determined as a target area according to the boundary, and therefore the preset area corresponding to the target area is determined as the target preset area where the vehicle corresponding to the terminal is located.

In the embodiment of the invention, after the target preset area where the vehicle corresponding to the terminal is located is determined, historical driving track data in the target preset area can be searched in the preset database. The historical driving track data in the target preset area can be as follows: historical travel track data of all vehicles in the target preset area.

The step 103 may comprise the following sub-steps:

In the embodiment of the invention, the server side can adopt the historical travel track data in the target preset area to generate the historical travel track feedback data. Specifically, the server side may render the historical travel track data in the target preset area, generate a track curve in the target preset area, and use the track curve in the target preset area as the travel track feedback data.

In a preferred embodiment of the present invention, the response data further includes: the degree of match between vehicles; the step 102 may further comprise the sub-steps of:

respectively calculating the matching degree between the vehicle corresponding to the terminal and the vehicle in the target preset area; and the matching degree is the contact degree of the historical driving track data of the vehicle.

In the embodiment of the invention, the server side can calculate the matching degree of the vehicle corresponding to the terminal and the vehicle in the target preset area. Specifically, a first road segment passing through in the historical driving track data of the vehicle corresponding to the terminal and a second road segment passing through in the historical driving track data of the vehicle in the target preset area may be determined, and a coincidence degree of the first road segment and the second road segment, which is a matching degree of two vehicles corresponding to the first road segment and the second road segment, is calculated.

The step 103 may comprise the following sub-steps:

and generating friend feedback data by adopting the recommended friends and the corresponding matching degree.

The recommended friends can be friends recommended to the user of the vehicle corresponding to the terminal, and the user of the vehicle corresponding to the terminal can add the recommended friends as friends.

The preset threshold may be a preset threshold of the degree of matching. For example, the preset threshold may be 80%.

In the embodiment of the invention, the user corresponding to the vehicle with the matching degree greater than or equal to the preset threshold value can be determined as the recommended friend. For example, when the preset threshold is 80%, if the calculated matching degree between the vehicle corresponding to the terminal and the vehicle in the target preset area is 90%, the user corresponding to the vehicle in the target preset area may be determined as a recommended friend. After the recommendation friends are determined, the server side can generate friend feedback data by adopting the recommendation friends and the matching degrees corresponding to the recommendation friends, wherein each recommendation friend has a corresponding matching degree.

In a preferred embodiment of the present invention, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the step 102 may further comprise the sub-steps of:

and searching the accumulated information of the vehicle corresponding to the terminal in a preset database.

The accumulated information may be mileage information determined based on the historical driving trace data, or integral information of the vehicle completing a preset task determined based on the historical driving trace data. The predetermined task may be a task of a point play mechanism provided for a vehicle user.

In the embodiment of the present invention, the server side may store the accumulated information of the vehicle in a preset database. Specifically, the vehicle identifier may be stored as the Key value. And searching the accumulated information of the vehicle corresponding to the terminal by retrieving the Key value in a preset database.

The step 103 may comprise the following sub-steps:

determining task point information and/or ranking information of the vehicle corresponding to the terminal by adopting the accumulated information of the vehicle corresponding to the terminal; and generating integral feedback data by adopting the accumulated information and the task integral information and/or the ranking information.

In the embodiment of the invention, the server side can adopt the accumulated information of the vehicle corresponding to the terminal to determine the task point information and/or the ranking information of the vehicle corresponding to the terminal, wherein the task point information can be the task points provided in a track data playing mechanism, and when the historical driving track data of the user meets the task conditions, the user can obtain the task points. The ranking information may be ranking information determined by sorting according to the task point information obtained by the user.

In the embodiment of the invention, the accumulated information, and the task point information and/or the ranking information can be returned to the terminal as point feedback data.

In a preferred embodiment of the present invention, the response data further includes energy consumption information, and the step 102 may include the following sub-steps:

and acquiring energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal.

The energy consumption information may be energy consumed by the vehicle, such as consumed gasoline or electric quantity information, when the vehicle is driven to travel a distance corresponding to the historical travel track data. In the embodiment of the invention, the server side can acquire the energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal.

In addition, the server side can also obtain the recording information of the energy consumption influence factors corresponding to the historical driving track data of the vehicle, and the recording information comprises the following steps: energy recovery, speed, energy consumption in the vehicle, etc.

The step 103 may comprise the following sub-steps:

In the embodiment of the invention, the server side can generate the energy consumption feedback data by adopting the energy consumption information corresponding to the historical driving track data of the vehicle corresponding to the terminal. Specifically, the server side may determine a color value, that is, an RBG value, when rendering the energy consumption information according to the energy consumption information of the vehicle on the predetermined driving track, and generate the energy consumption feedback data according to the color value when rendering the energy consumption information, wherein the more the energy consumption information on the predetermined driving track, the smaller the RBG value is. Alternatively, the server side may determine the energy consumption ranking of the vehicle and other vehicles in the same track according to the energy consumption information of the vehicle in the predetermined driving track, for example, determine that the energy consumption information of the vehicle in the predetermined driving track is the first few in all vehicles, or is in the first few hundredths of positions in all vehicles, and the like. By ranking the energy consumption information according to the vehicle in the predetermined driving track, the driving habit of the user can be improved.

In a preferred embodiment of the present invention, after the step 102, the following steps may be further included:

determining historical driving track data of the vehicle from a preset database; and combining the running track data of the vehicle with the historical running track data to generate new historical running track data.

After the server side acquires the travel track data of the vehicle, the historical travel track data of the vehicle may be determined in a preset database. Specifically, a vehicle identifier in the travel track data of the vehicle may be extracted, and historical travel track data corresponding to the vehicle identifier may be searched in a preset database.

In the embodiment of the present invention, the travel track data of the vehicle may be combined with the historical travel track data to generate new historical travel track data.

Referring to fig. 2, a flowchart illustrating steps of an embodiment of a trajectory data processing method according to the present invention is shown, and applied to a terminal, the method specifically includes the following steps:

step 201, sending an acquisition request to a server;

specifically, the terminal may include a display screen, and a User Interface (UI) Interface may be provided on the display screen of the terminal, and the UI Interface may include an information input box and a submit button. When a user inputs request information on an information input box of a UI interface and clicks a submit button, the terminal equivalently sends a track acquisition request to the server.

The track obtaining request can carry a vehicle identifier, and the vehicle identifier is used for uniquely identifying a vehicle corresponding to the running track data.

Step 202, after receiving the server response to the acquisition request and determining the response data of the vehicle corresponding to the terminal, generating feedback data based on the response data; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

after receiving the acquisition request sent by the terminal, the server may respond to the acquisition request, determine response data of the vehicle corresponding to the terminal, and return the feedback data to the terminal based on feedback data generated by the response data. The response data may include historical driving track data of the vehicle corresponding to the terminal.

Step 203, generating a first view by using the feedback data;

in the embodiment of the present invention, after receiving the feedback data returned by the server, the terminal may generate the first view by using the response data.

In a preferred embodiment of the present invention, the first view includes a first trajectory curve formed by historical driving trajectory data of a vehicle corresponding to the terminal, and the step 203 may include the following sub-steps:

and adopting the first track curve and the first view.

Specifically, the server side may have a rendering template, and after the response data of the vehicle corresponding to the terminal is determined according to the acquisition request, the response data may be added to the rendering template to generate the first view. For example, the historical travel track data of the vehicle corresponding to the terminal is added to the rendering template, and a first track curve is generated. The server side may return the first trajectory curve to the terminal as feedback data. The terminal can be provided with a rendering template, and after receiving the first trajectory curve, the terminal can generate the first view by adopting the first trajectory curve.

Referring to fig. 3, which is a schematic diagram illustrating a first view of the present invention, the track curve corresponding to the label 11 in the label 1 in fig. 3 may be a first track curve corresponding to the historical driving track data of the vehicle corresponding to the terminal.

Step 204, the first view is shown.

In the implementation of the invention, the terminal can display the first view on the UI interface, so that the user can view the first view displayed on the UI interface.

In a preferred embodiment of the present invention, the response data further includes energy consumption information, and the generating the first view by using the feedback data further includes:

and generating the first view by adopting the energy consumption information.

In the embodiment of the present invention, the server side may return the feedback data to the terminal as the feedback data, and the terminal may generate the first view by using the energy consumption information after receiving the energy consumption information.

In a preferred embodiment of the present invention, the response data further includes: historical driving track data in a preset area; the first view includes a second track curve formed by the historical travel track data in the preset area.

The preset area may be an area within a preset range where the historical travel track data of the vehicle is located. For example, the preset area may be an area within a city where the historical travel track data of the vehicle is located, or may be an area within a range of a regular pattern (e.g., a square, a circle) covering the historical travel track data of the vehicle. The trajectory curve corresponding to the label 12 in the label 1 in fig. 3 may be a second trajectory curve corresponding to the historical travel trajectory data in the preset area.

In the embodiment of the present invention, the server side may have a rendering template, and after determining the historical travel track data in the preset area according to the acquisition request, the historical travel track data in the preset area may be added to the rendering template to generate a second track curve, and the second track curve is returned to the terminal as feedback data.

Said step 203 may comprise the sub-steps of:

and generating the first view by adopting the second track curve.

In the embodiment of the present invention, the terminal may have a rendering template, and after receiving the first trajectory curve, the terminal may generate the first view by using the first trajectory curve.

In a preferred embodiment of the present invention, the response data further includes: the accumulated information of the vehicle corresponding to the terminal; the accumulated information is the driving mileage information determined based on the historical driving track data, and may also be accumulated integral information of the vehicle completing a preset task. The predetermined task may be a task of a point play mechanism provided for a vehicle user.

Said step 203 may comprise the sub-steps of:

Specifically, the terminal may have a rendering template, and after receiving the accumulated information of the vehicle corresponding to the terminal returned by the server, the terminal may add the accumulated information of the vehicle corresponding to the terminal to the rendering template to generate the first view.

In the implementation of the present invention, the response data may further include: the method comprises the steps that the historical driving track data of a vehicle corresponding to the terminal is in proportion to all historical driving track data in a preset area, the historical driving track data of other users in the preset area is in proportion to all historical driving track data in the preset area.

Fig. 3, reference 2, is the cumulative information of the vehicle in the first view. Wherein 5762km is the total number of the driving mileage of the vehicle, and 1900 is the integral information of the vehicle completing the preset task.

As indicated by reference numeral 3 in fig. 3, the historical travel track data of the vehicle corresponding to the terminal in the first view is the proportion information of all the historical travel track data in the preset area, and the historical travel track data of other users in the preset area is the proportion information of all the historical travel track data in the preset area. Wherein, 1.25% is the ratio information of the historical driving track data of the vehicle corresponding to the terminal and all the historical driving track data in the preset area; 42.73% is the ratio information of the historical travel track data of other users in the preset area and all the historical travel track data in the preset area.

In a preferred embodiment of the present invention, the response data further includes: the degree of match between vehicles; and the matching degree is the contact degree of the historical driving track data of the vehicle.

Said step 203 may comprise the sub-steps of:

The recommended friends may be friends recommended to users of vehicles corresponding to the terminal, and the users of the vehicles corresponding to the terminal may add the recommended friends as friends. The server side can determine that the vehicles are recommended friends according to the matching degree between the vehicles and when the matching degree between the vehicles is larger than or equal to a preset threshold value, the users corresponding to the vehicles are determined to be the recommended friends, and the recommended friends determined according to the matching degree between the vehicles and the matching degree corresponding to the recommended friends are used as feedback data to be returned to the terminal. After receiving the recommended friends determined according to the matching degree between the vehicles and the corresponding matching degree, the terminal can generate a first view.

Specifically, the terminal may have a rendering template, and after receiving the recommended friends and the corresponding matching degrees determined according to the matching degrees between the vehicles, the terminal may add the recommended friends and the corresponding matching degrees determined according to the matching degrees between the vehicles to the rendering template to generate the first view.

In a preferred embodiment of the present invention, the method may further comprise the steps of:

The preset friend recommending interface can be an interface used for displaying friend information in a preset terminal. In the embodiment of the invention, a user can check the recommended friends in a preset recommended friend interface, and when a certain user in the preset recommended friend interface is required to be added as a friend, friend adding operation can be performed in the preset recommended friend interface, for example, each recommended friend has a corresponding adding control, and the user can click the adding control corresponding to the target recommended friend to add the target recommended friend as a friend.

As shown in fig. 4, in another schematic diagram of a first view, a label 4 is a recommended friend, and a user can open an interface of the recommended friend by triggering an area corresponding to the recommended friend. As shown in fig. 5, in another schematic diagram of a first view, a label 6 is a matching degree corresponding to a recommended friend in an open interface for recommending friends, and in the interface for recommending friends, a user may perform a friend adding operation to add the recommended friend as a friend.

In a preferred embodiment of the embodiments of the present invention, the method may further include the steps of:

receiving point picking operation of a user when the historical driving track data of the vehicle corresponding to the terminal meets a point picking condition; updating the first view according to the integral obtaining operation to generate a second view; the second view is shown.

In the embodiment of the invention, when the historical driving track data of the vehicle corresponding to the terminal meets the point obtaining condition, the terminal can receive the point obtaining operation of a user; and updating the first view according to the integral obtaining operation to generate a second view.

The point pickup condition may be a condition of a total mileage value reached by the driving mileage of the vehicle, for example, the point pickup condition is that the mileage reaches 500km. The point acquisition condition may be a condition that the vehicle completes driving of the specified trajectory route, for example, the point acquisition condition is that a matching degree of a pattern formed by the historical travel trajectory data of the vehicle and a preset pattern reaches 80%.

As an example, when the point pickup condition is that the mileage reaches 500km, if the accumulated driving distance information of the vehicle corresponding to the terminal is 600km, the historical driving track data of the vehicle corresponding to the terminal meets the point pickup condition, the point pickup operation of the user may be received, the original accumulated information is accumulated according to the point pickup operation, the accumulated information is used to update the first view, the second view is generated, and the second view is displayed.

As shown in fig. 4, reference numeral 5 denotes a mileage task and an advance task in the first view, in which the mileage task is a task in which the driving mileage of the vehicle reaches the total mileage value, a first-class expeditioner task in which the driving mileage reaches 500km, a second-class expeditioner task in which the driving mileage reaches 1000km, and a third-class expeditioner task in which the driving mileage reaches 1500 km. In another schematic diagram of the first view shown in fig. 6, the label 7 is all tasks of the mileage task in the first view, including the first-level explorer task, the second-level explorer task, the third-level explorer task, the fourth-level explorer task, the fifth-level explorer task, the sixth-level explorer task, the seventh-level explorer task, the eighth-level explorer task, and the ninth-level explorer task. When the user completes the corresponding task, the points can be picked up by clicking a "completed" button in the interface.

In another schematic diagram of the first view shown in fig. 7, the labels 8 are all tasks of the advanced tasks in the first view, and the advanced tasks are tasks for the vehicle to complete driving along the specified trajectory route, including a primary painter task, a middle-level painter task, a high-level painter task, a senior painter task, and a senior painter task. In the first view, the user can open the secondary interface of the advanced task by clicking the corresponding task, so as to search the pattern of the task vehicle needing to complete the designated track route. In another first view schematic diagram, shown in FIG. 8, callout 9 is a secondary interface that opens the advanced artist task, which when the user completes the pattern task for the trajectory path specified by the advanced artist task, may earn 2000 points.

In the embodiment of the invention, the acquisition request is sent to the server, the server response track acquisition request is received, and after the response data of the vehicle corresponding to the terminal is determined, the feedback data is generated based on the response data; and the response data comprise historical driving track data of the vehicle corresponding to the terminal, a first view is generated by adopting the feedback data, the first view comprises a first track map formed by the historical driving track data of the vehicle corresponding to the terminal, and the first view is displayed. Therefore, the user can check the complete driving track of the vehicle through the terminal.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 9, a block diagram of a track data processing apparatus according to an embodiment of the present invention is shown, which may specifically include the following modules:

a track obtaining module 901, configured to obtain driving track data of a vehicle;

a data determining module 902, configured to determine response data of a vehicle corresponding to a terminal when an acquisition request sent by the terminal is received; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

a data sending module 903, configured to generate feedback data based on the response data, and send the feedback data to the terminal.

In a preferred embodiment of the present invention, the data determining module 902 includes:

the data sending module 903 may include the following sub-modules:

In a preferred embodiment of the present invention, the response data further includes historical travel track data in a preset area; the data determining module 902 further includes:

the data sending module 903 may include the following sub-modules:

In a preferred embodiment of the present invention, the response data further includes: the degree of match between vehicles; the data determining module 902 further includes:

the matching degree calculation operator module is used for calculating the matching degree of the vehicle corresponding to the terminal and the vehicle in the target preset area respectively; the matching degree is the contact ratio of the historical driving track data of the vehicle;

the data sending module 903 may include the following sub-modules:

the friend recommendation determining submodule is used for determining users corresponding to vehicles with the matching degree larger than or equal to a preset threshold as friend recommendations;

In a preferred embodiment of the present invention, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the data determining module 902 further includes:

the data sending module 903 may include the following sub-modules:

In a preferred embodiment of the present invention, the response data further includes energy consumption information, and the data determining module 902 includes:

the data sending module 903 may include the following sub-modules:

In a preferred embodiment of the present invention, the apparatus may further include the following modules:

the data determining module is used for determining historical driving track data of the vehicle from a preset database;

Referring to fig. 10, a block diagram of a track data processing apparatus according to an embodiment of the present invention is shown, and applied to a terminal side, the track data processing apparatus may specifically include the following modules:

a request sending module 1001, configured to send an acquisition request to a server;

a data receiving module 1002, configured to receive feedback data generated based on response data after the server responds to the obtaining request and determines response data of a vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal;

a view generating module 1003, configured to generate a first view by using the feedback data;

a view displaying module 1004 for displaying the first view.

In a preferred embodiment of the present invention, the first view includes a first trajectory curve formed by historical travel trajectory data of a vehicle corresponding to the terminal; the view generating module 1003 includes:

In a preferred embodiment of the present invention, the response data further includes: historical driving track data in a preset area, wherein the first view comprises a second track curve formed by the historical driving track data in the preset area; the view generating module 1003 further includes:

In a preferred embodiment of the present invention, the response data further includes: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the view generating module 1003 includes:

In a preferred embodiment of the present invention, the response data further includes: task point information and/or ranking information determined for the accumulated information; the generating a first view using the feedback data includes:

In a preferred embodiment of the present invention, the response data further includes: the degree of match between vehicles; the view generating module 1003 includes:

and the fifth view generation submodule is used for generating a first view by adopting the recommended friends determined according to the matching degree between the vehicles and the corresponding matching degree.

In a preferred embodiment of the present invention, the view generating module 1003 further includes:

In a preferred embodiment of the present invention, the method further includes:

and the second view display module is used for displaying the second view.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

An embodiment of the present invention further provides a vehicle, including:

one or more processors; and

one or more machine readable media having instructions stored thereon, which when executed by the one or more processors, cause the vehicle to perform the steps of the method as described in embodiments of the invention.

Embodiments of the present invention also provide a computer-readable storage medium having stored thereon instructions, which, when executed by one or more processors, cause the processors to perform the steps of the method according to embodiments of the present invention.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or terminal apparatus that comprises the element.

The above detailed description is provided for a track data processing method and a track data processing apparatus, and the principle and the implementation of the present invention are explained by applying specific examples, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A trajectory data processing method, comprising:

acquiring running track data of a vehicle;

when an acquisition request sent by a terminal is received, determining response data of a vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal; the response data also comprises historical driving track data in a preset area; the response data also comprises matching degree between the vehicles, and the matching degree is the contact ratio of the historical driving track data of the vehicles; the response data further comprises accumulated information of a vehicle corresponding to the terminal, and the accumulated information is mileage information determined based on the historical driving track data;

generating feedback data based on the response data, and sending the feedback data to the terminal; the feedback data comprises historical driving track feedback data, regional driving track feedback data and friend feedback data; the friend feedback data is generated based on the matching degree; the feedback data further includes integral feedback data, the integral feedback data being generated based on the cumulative information, task integral information, and/or ranking information, the task integral information and/or ranking information being determined based on the cumulative information.

2. The method of claim 1, wherein the determining response data of the vehicle to which the terminal corresponds comprises:

the generating feedback data based on the response data comprises:

3. The method of claim 1, wherein determining response data of the vehicle to which the terminal corresponds further comprises:

the generating feedback data based on the response data comprises:

4. The method of claim 3, wherein determining response data for the vehicle to which the terminal corresponds further comprises:

respectively calculating the matching degree between the vehicle corresponding to the terminal and the vehicle in the target preset area;

the generating feedback data based on the response data comprises:

determining users corresponding to vehicles with matching degrees larger than or equal to a preset threshold as recommended friends;

5. The method of claim 1, wherein determining response data of the vehicle to which the terminal corresponds further comprises:

the generating feedback data based on the response data comprises:

6. The method of claim 1, wherein the response data further comprises energy consumption information, and the determining the response data of the vehicle corresponding to the terminal comprises:

the generating feedback data based on the response data comprises:

7. The method of claim 1, after acquiring the travel track data of the vehicle, further comprising:

determining historical driving track data of the vehicle from a preset database;

8. A trajectory data processing method is applied to a terminal side, and comprises the following steps:

sending an acquisition request to a server;

after the server responds to the acquisition request and determines response data of a vehicle corresponding to the terminal, feedback data generated based on the response data are received; the response data comprise historical driving track data of the vehicle corresponding to the terminal; the response data also comprises historical driving track data in a preset area; the response data also comprises matching degree between the vehicles, and the matching degree is the contact ratio of the historical driving track data of the vehicles; the feedback data comprises historical driving track feedback data, area driving track feedback data and friend feedback data; the friend feedback data is generated based on the matching degree; the response data further comprises accumulated information of a vehicle corresponding to the terminal, and the accumulated information is mileage information determined based on the historical driving track data; the feedback data further comprises integral feedback data, the integral feedback data is generated based on the accumulated information, task integral information and/or ranking information, and the task integral information and/or ranking information is determined based on the accumulated information;

generating a first view using the feedback data;

the first view is shown.

9. The method according to claim 8, wherein the first view comprises a first track curve formed by historical travel track data of a vehicle corresponding to the terminal; the generating a first view using the feedback data includes: and generating the first view by adopting the first track curve.

10. The method of claim 8, wherein the response data further comprises energy consumption information, wherein generating the first view using the feedback data further comprises:

and generating the first view by adopting the energy consumption information.

11. The method according to claim 8, wherein the first view comprises a second trajectory curve formed by historical travel trajectory data within the preset area; the generating a first view using the feedback data further comprises:

and generating the first view by adopting the generated second track curve.

12. The method of claim 8, wherein the response data further comprises: the accumulated information of the vehicle corresponding to the terminal is the travelling mileage information determined based on the historical travelling track data; the generating a first view using the feedback data includes:

13. The method of claim 12, wherein the response data further comprises: task point information and/or ranking information determined for the accumulated information; the generating a first view using the feedback data includes:

14. The method of claim 8, wherein the response data further comprises: the degree of match between vehicles; the generating a first view using the feedback data includes:

15. The method of claim 14, further comprising:

16. The method of claim 8, further comprising:

receiving point picking operation of a user when the historical driving track data of the vehicle corresponding to the terminal meets a point picking condition;

the second view is shown.

17. A trajectory data processing device, characterized by comprising:

the data determining module is used for determining response data of a vehicle corresponding to a terminal when an acquisition request sent by the terminal is received; the response data comprise historical driving track data of the vehicle corresponding to the terminal; the response data also comprises historical driving track data in a preset area; the response data also comprises matching degree between the vehicles, and the matching degree is the contact ratio of the historical driving track data of the vehicles; the response data also comprises accumulated information of a vehicle corresponding to the terminal, and the accumulated information is mileage information determined based on the historical travel track data;

the data sending module is used for generating feedback data based on the response data and sending the feedback data to the terminal; the feedback data comprises historical driving track feedback data, area driving track feedback data and friend feedback data; the friend feedback data is generated based on the matching degree; the feedback data further includes integral feedback data, the integral feedback data being generated based on the cumulative information, task integral information, and/or ranking information, the task integral information and/or ranking information being determined based on the cumulative information.

18. A trajectory data processing apparatus, applied to a terminal side, the apparatus comprising:

the request sending module is used for sending an acquisition request to the server;

the data receiving module is used for receiving feedback data generated based on the response data after the server responds to the acquisition request and determines the response data of the vehicle corresponding to the terminal; the response data comprise historical driving track data of the vehicle corresponding to the terminal; the response data also comprises historical driving track data in a preset area; the response data also comprises matching degree between the vehicles, and the matching degree is the contact ratio of the historical driving track data of the vehicles; the feedback data comprises historical driving track feedback data, area driving track feedback data and friend feedback data; the friend feedback data is generated based on the matching degree; the response data also comprises accumulated information of a vehicle corresponding to the terminal, and the accumulated information is mileage information determined based on the historical travel track data; the feedback data further comprises integral feedback data, the integral feedback data is generated based on the accumulated information, task integral information and/or ranking information, and the task integral information and/or ranking information is determined based on the accumulated information;

and the view display module is used for displaying the first view.

19. A vehicle, characterized by comprising:

one or more processors; and

one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the vehicle to perform the steps of the method of any of claims 1-8 or 9-16.

20. A computer-readable storage medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the steps of the method of any one of claims 1-8 or 9-16.