A road condition detection system based on vehicle gps data

Abstract

The invention provides a road condition detection system based on vehicle GPS data, and the road condition detection system makes the best of the big data thinking and has the advantages of low cost, easy promotion, stability, reliability and the like. The road condition detection system based on the vehicle GPS data comprises a timer, a GPS data acquisition module, a map matching module, a vehicle unit speed calculation module and a comprehensive statistic module. GPS coordinates of different floating vehicles driving in a road network and marked time stamps are acquired in real time, the GPS coordinates are matched with coordinates in a preset road section in a map, then time and distance differences of the vehicles driving on the road section are calculated based on the GPS coordinates of the floating vehicles and the marked time stamps, thus the average driving speed of the floating vehicles on an original matching road section can be obtained, and statistics are conducted on the average driving speed of all the floating vehicles on the road section. In this way, the road condition of the road section is determined.

Description

Technical field [0001] The invention relates to a road condition detection method. Background technique [0002] With the development of economy and society, the scale of cities is expanding, and the travel demand of urban residents is also increasing, making the traffic congestion problem that plagues major cities more serious. Traffic congestion not only reduces the capacity of roads, decreases driving speed, and increases traffic delays, but also causes huge economic losses. Therefore, how to obtain and publish road traffic status in a timely and accurate manner is very important for both traffic managers and travelers. [0003] At present, according to the different detection methods, there are many road condition detection systems put into use in practice, but the main problems are as follows: [0004] 1. High cost. In order to achieve the coverage of the main road network in the city, a large number of detectors need to be installed, and the high cost restricts its promotion...

AI Technical Summary

Problems solved by technology

[0004] 1. High cost

In order to achieve the coverage of the city's main road network, a large number of detectors need to be installed, and the high cost restricts its promotion in the city to a certain extent;

[0005] 2. Many coverage blind spots

In order to save costs and reduce damage to the road surface, most detectors can only detect on the cross-section, resulting in many blind spots in the entire road network;

[0006] 3. Many faults, not stable enough

Due to the long-distance transmission between the front-end detectors, data forwarding stations, and background data centers, unpredictable external factors often cause network failures, which affect the timely release of background data, and troubleshooting is time-consuming and labor-intensive

[0007] 4. Low precision

Affected by the installation method, the road state obtained from the data of a single detector installed on the cross-section has more contingencies, and it is difficult to reflect the average state of the entire road network

[0008] Therefore, in view of the complex urban road network, high cost of detector installation, easy failure, many coverage blind spots, and unstable detection results, it is urgent to realize a low-cost, easy-to-promote, stable and reliable road condition detection method

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