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Clustering-based road condition calculation method, device and equipment, and medium

A computing method and clustering technology, applied in computing, computer components, traffic control systems of road vehicles, etc., can solve problems such as long distances on long roads

Active Publication Date: 2020-10-02
TENCENT TECH (SHENZHEN) CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problem that it is difficult to use a unified road condition to describe the road condition of the entire long section section due to the long distance in the prior art, the embodiment of the present invention provides a cluster-based road condition calculation method, device, equipment and medium

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  • Clustering-based road condition calculation method, device and equipment, and medium
  • Clustering-based road condition calculation method, device and equipment, and medium
  • Clustering-based road condition calculation method, device and equipment, and medium

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrate...

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Abstract

The invention discloses a clustering-based road condition calculation method, device and equipment, and a medium. The method comprises the steps: obtaining driving tracks of a preset number of vehicles in a long road section; segmenting along the vehicle passing direction of the long road section to obtain a corresponding short road section sequence; obtaining an interval driving track set corresponding to each short road section according to the short road section sequence; obtaining a comprehensive vehicle speed sequence corresponding to the short-circuit section sequence according to the interval driving track set corresponding to each short-circuit section; scanning the comprehensive vehicle speed sequence, and performing vehicle speed clustering along the element arrangement directionof the comprehensive vehicle speed sequence to obtain a clustering result set; clustering the short road sections in the short road section sequence according to the clustering result set to obtain atarget road section sequence; and calculating the road condition of each target road section in the target road section sequence according to the clustering result set. The forming basis of the target road section is more objective and conforms to the real situation of the real world, so the accurate road condition service is provided for users, and the viscosity of the users is increased.

Description

technical field [0001] The present invention relates to the field of road condition calculations, in particular to a clustering-based road condition calculation method, device, equipment and medium. Background technique [0002] Vehicle traffic status data is important data required for map navigation. In the prior art, the vehicle traffic status corresponding to a road segment or road segment group can be determined by calculating the vehicle speed of each road segment or road segment group in the map, and then the road conditions of the road segment or road segment group can be obtained. . [0003] Compared with road section groups, the division granularity of road sections is finer. Therefore, the determination of vehicle traffic status at the granularity of road sections is conducive to providing users with more accurate vehicle traffic status data and increasing user viscosity. However, the length of different road sections varies greatly. For example, the length of a ...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/052G06K9/62
CPCG08G1/0125G08G1/0133G08G1/052G06F18/23
Inventor 王志军
Owner TENCENT TECH (SHENZHEN) CO LTD