Road quality detection method based on crowd computing

A technology of road quality and detection method, applied in the field of intelligent transportation, can solve problems such as failure to provide road quality information, damage to manhole covers, etc., and achieve the effects of reducing the incidence of traffic accidents, reducing construction costs, and improving driving safety.

Active Publication Date: 2017-08-29
XIAN UNIV OF TECH
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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.

Method used

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  • Road quality detection method based on crowd computing
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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] A road quality detection method based on crowd intelligence computing of the present invention is specifically implemented according to the following steps, as figure 1 Shown:

[0035] Step 1: Based on mobile group intelligence technology, collect road quality information during vehicle driving, specifically:

[0036] Step 1.1: The mobile terminal (the mobile terminal is a mobile terminal with built-in GPS, acceleration, gyroscope, magnetic sensor, gravity sensor and linear acceleration sensor, etc.) APP collects basic data information through the built-in sensor of the mobile terminal, and mainly obtains 4 kinds of data:

[0037] ① Acceleration of driving vehicle: the data information is obtained through the three-axis acceleration sensor of the mobile terminal;

[0038] ② Vibration amplitude of driving vehicles: the data informatio...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/0967G08G1/01
CPCG08G1/0112G08G1/0125G08G1/0141G08G1/096775
Inventor 王怀军霍娜李军怀于蕾丁东
Owner XIAN UNIV OF TECH
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