Road quality detection method based on crowd computing

Abstract

The invention discloses a road quality detection method based on crowd computing. The method comprises the following steps of 1: acquiring road quality information in a vehicle driving process based on mobile crowd computing technology; 2, constructing a sample set by data with marked road quality categories based on an information processing method using crowd computing technology, and extracting a road quality category characteristic; 3, cleaning, fusing and classifying the acquired data, marking unknown road quality by using the road quality category characteristic to obtain the actual road quality information; and 4, enabling the actual road quality information to provide service for vehicle drivers, who can adjust driving strategies according to received road condition information, through the WebGIS, and to provide data support for the road maintenance plan establishment of a road maintenance unit. The method can improve driving safety to a certain extent, reduce the incidence of traffic accidents, and provide data support for the road maintenance plan establishment of the road maintenance unit.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a road quality detection method based on crowd intelligence calculation. Background technique [0002] The existing mainstream navigation systems include Baidu Maps, Gaode Maps and other map navigation software. The main functions focus on positioning and navigation, road congestion information, etc., but do not provide road quality information, mainly including road speed bumps and expansion joints. Clear labeling of facilities, indication of road damage and potholes, fence markings for temporary road repairs, damaged or missing manhole covers, etc. Contents of the invention [0003] The purpose of the present invention is to provide a road quality detection method based on crowd intelligence computing, which can effectively improve driving safety and reduce the incidence of traffic accidents to a certain extent, and at the same time provide data...

AI Technical Summary

Problems solved by technology

[0002] The existing mainstream navigation systems include map navigation software such as Baidu map and Gaode map. The main functions focus on positioning and navigation, traffic congestion information, etc., but they do not provide information on road quality, mainly including road speed bumps and expansion joints. Clear labeling of facilities, indication of road damage and potholes, fence markings for temporary road repairs, damaged or missing manhole covers, etc.

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