Traffic flow state judgment method based on multiple-cross-section vision sensing clustering analysis

A state discrimination and traffic flow technology, which is applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc. It can solve the problems of coil damage, low traffic data accuracy, and poor equipment working environment, and achieve accurate and Comprehensive performance, simplified clustering results, and the effect of avoiding clustering errors

Active Publication Date: 2014-06-04
NANJING UNIV
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AI Technical Summary

Problems solved by technology

[0039] The problem to be solved by the present invention is: most of the traffic data used in the existing traffic flow state discrimination method comes from the ring coil detector, but the coil is seriously damaged and the working environment of the equipment is bad, which leads to low accuracy of the traffic data obtained

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  • Traffic flow state judgment method based on multiple-cross-section vision sensing clustering analysis
  • Traffic flow state judgment method based on multiple-cross-section vision sensing clustering analysis
  • Traffic flow state judgment method based on multiple-cross-section vision sensing clustering analysis

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Embodiment Construction

[0062] The flow of the present invention's operating state discrimination method based on cluster analysis is as follows: figure 1 As shown, the traffic flow data is obtained through the PTZ video camera on the side of the road. When the light condition is not good, the infrared camera and the laser profiler are combined. Based on the obtained data, the cluster analysis method is used to judge the traffic flow state. The whole process includes the following steps:

[0063] 1) Video traffic flow data detection: Set up virtual detectors by lanes on the video image through software. When the vehicle passes through the virtual detectors, a detection signal will be generated, and then digitally processed by software and calculated to obtain the required traffic flow data. , such as vehicle type, traffic volume, vehicle speed, vehicle distance, occupancy rate, etc. [21] ;

[0064] 2) Feature data selection: Establishing a scientific and objective evaluation index system is the prem...

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Abstract

The invention discloses a traffic flow state judgment method based on multiple-cross-section vision sensing clustering analysis. Traffic flow data are acquired by a PTZ video camera arranged on the road side and are adopted to judge the expressway road traffic flow state according to a clustering analysis method. By means of the traffic flow state judgment method, traffic flow data easy to acquire like speeds and flow are combined with upstream traffic flow data and downstream traffic flow data to achieve clustering analysis, acquired clustering results are clear, and certain fault tolerance exists. In practical application, the clustering number can be modified according to specific conditions, and clustering results are simplified. By means of the method, traffic condition division methods and critical data suitable for characteristics of current expressways are provided, and traffic flow conditions are accurately and comprehensively reflected.

Description

technical field [0001] The invention belongs to the technical field of data mining, relates to the automatic discrimination of traffic state on traffic data, and is a traffic flow state discrimination method based on cluster analysis. Background technique [0002] In recent years, traffic congestion has seriously affected the sustainable development of cities and people's daily work and life. How to alleviate congestion has become the focus of common attention and an important problem that needs to be solved urgently in all countries in the world. In fact, the road network does not operate at full capacity at all times and locations. If the traffic information on the road network can be obtained in time, the traffic status of the road network can be accurately grasped, and scientific traffic management and control decisions can be made accordingly. , making full use of the space-time resources of the road traffic system can improve the operational efficiency and safety of th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065G06F19/00
Inventor 许榕蒋士正吴聪缪李囡王双阮雅端陈启美
Owner NANJING UNIV
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