Traffic state thermogram visualization method based on traffic saturation

Abstract

The invention relates to a traffic state thermogram visualization method based on traffic saturation, and belongs to the technical field of traffic. The method includes acquiring the point data of a video, a coil, a geomagnetic field in the traffic management, and calculating the saturation of the intersection and the road section in the road network, adopting an average clustering analysis method, dividing the class of all the saturation in the road network, and calculating the values of the saturation in various classes again, and selecting the point distribution density degree of the thermogram according to the saturation average value so as to obtain the traffic state thermogram based on the traffic saturation. The method has the advantages that the operation is simple, the calculationis convenient, and the defect that the proportion of the track data is small, the precision is low or the traffic state cannot be effectively displayed under the condition of ineffective acquisitioncan be made up, and meanwhile, the condition of the traffic bearing capacity of the intersection and the road section is considered, the traffic state can be visually displayed more fully and reasonably, and a support is provided for the scheme decision of the traffic manager.

Description

technical field [0001] The invention relates to a traffic saturation heat map visualization method, which belongs to the technical field of traffic. Background technique [0002] Traffic heat map is a macroscopic visualization method of road network traffic congestion. Scientific and reasonable visualization of traffic situation can help traffic managers control the traffic state, and make effective decisions on traffic plans according to the traffic state to alleviate traffic congestion. , the purpose of optimizing the travel environment. Most of the existing traffic situation heat map visualization methods are obtained from trajectory data such as floating car data and map navigation. However, when the proportion of trajectory data is small or cannot be effectively collected, it will not be able to effectively display the traffic situation; in addition, When the proportion of trajectory data is small, the estimated parameters (travel time, flow rate, queue length, etc.) r...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the limitation that the traffic situation cannot be effectively displayed when the proportion of trajectory data is small or cannot be effectively collected, and the visualization of trajectory data mostly estimates the traffic situation on road sections, the present invention provides a traffic saturation-based The traffic situation heat map visualization method uses the point data collected by video, coils, geomagnetism, etc. in traffic management, and comprehensively considers the traffic congestion status of intersections and road sections in the road network, so as to effectively visualize the traffic situation

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