Traveling track classification method and device, electronic equipment and storage medium

A technology of driving trajectory and classification method, which is applied in the Internet field, and can solve problems that affect the classification effect of user trajectory, cannot classify user trajectory, and cannot simulate driving scenes, etc.

Active Publication Date: 2019-08-06
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are great limitations in the artificial simulation method, and it is impossible to simulate the real road driving scene, which will lead to the inability to accurately classify user trajectories and affect the classification effect of user trajectories.
[0004] In addition, in the existing classification methods o

Method used

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  • Traveling track classification method and device, electronic equipment and storage medium
  • Traveling track classification method and device, electronic equipment and storage medium
  • Traveling track classification method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] figure 1 It is a schematic flowchart of the method for classifying driving trajectories provided in Embodiment 1 of the present invention. The method can be executed by a device or electronic device for classifying driving trajectories. The device or electronic device can be implemented by software and / or hardware. The device Or the electronic device can be integrated in any smart device with network communication function. Such as figure 1 As shown, the classification method of driving trajectory may include the following steps:

[0059] S101. Receive a track log of the user's driving track points.

[0060] In a specific embodiment of the present invention, the electronic device may receive the track log of the user's driving track points. Specifically, when the user is driving on the driving track, the electronic device may receive the user's track log on each driving track point sent by the user through the client device; wherein, the track log may include: the us...

Embodiment 2

[0068] figure 2 It is a schematic flowchart of the method for classifying driving trajectories provided in Embodiment 2 of the present invention. Such as figure 2 As shown, the classification method of driving trajectory may include the following steps:

[0069] S201. Receive a track log of the user's driving track points.

[0070] In a specific embodiment of the present invention, the electronic device may receive the track log of the user's driving track points. Specifically, when the user is driving on the driving track, the electronic device may receive the user's track log on each driving track point sent by the user through the client device; wherein, the track log may include: the user's track log on each driving track point Longitude, latitude, time stamp and the identification ID corresponding to the track log.

[0071] S202. According to the received track log, extract the position of the user at each driving track point and the time of the user at each driving...

Embodiment 3

[0081] image 3 It is a schematic flowchart of the method for classifying driving trajectories provided by Embodiment 3 of the present invention. Such as image 3 As shown, the classification method of driving trajectory may include the following steps:

[0082] S301. Receive a track log of the user's driving track points.

[0083] In a specific embodiment of the present invention, the electronic device may receive the track log of the user's driving track points. Specifically, when the user is driving on the driving track, the electronic device may receive the user's track log on each driving track point sent by the user through the client device; wherein, the track log may include: the user's track log on each driving track point Longitude, latitude, time stamp and the identification ID corresponding to the track log.

[0084] S302. According to the received track log, extract the position of the user at each driving track point and the time of the user at each driving t...

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PUM

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Abstract

The embodiment of the invention discloses a driving track classification method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a track log of a user driving track point; calculating track characteristics corresponding to each driving track point, track characteristics corresponding to every two adjacent driving track points and track characteristics corresponding to all the driving track points according to the track logs; according to the track characteristics corresponding to each driving track point, the track characteristics corresponding to every two adjacent driving track points and the track characteristics corresponding to all the driving track points, and the track characteristics corresponding to the sample track points,the track characteristics corresponding to every two adjacent sample track points and the track characteristics corresponding to all the sample track points which are determined in advance, determining the track type of the driving track. Therefore, the user tracks can be accurately classified, and the labor cost and the time cost can be saved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of the Internet, and in particular, to a classification method, device, electronic equipment, and storage medium for driving trajectories. Background technique [0002] When a user uses a map application APP product, such as driving navigation, walking navigation, cycling navigation and other scenarios, the server will generate the user's trajectory data according to the coordinates of the user's real-time positioning. The trajectory data of these users, as the basic data of users in map products, contains rich user information and is widely used in scenarios such as road congestion prediction, user travel habit mining, user travel model establishment, and road traffic discovery. . However, when generating the user's trajectory data, different trajectory types such as motor vehicle trajectory, electric vehicle trajectory, walking trajectory, bus trajectory, and subway trajectory wi...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/214
Inventor 李烜赫李曼
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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