A Congestion Point Discrimination Method Based on Real-time Traffic Conditions

Abstract

The invention discloses a real-time-road-condition-based congestion point determination method. The method comprises: a city or a regional range needing to obtain road condition is determined and a needed map level is selected; a download time interval is set, map slices are downloaded and splicing and storing are carried out, thereby forming a real-time road condition map; the real-time road condition map is guided into a geographic information system to carry out road network vectorization; the vectorized road network is broken into points and stored real-time road condition coloring matter information is assigned to discrete points; according to a traffic flow direction, a topological relation between the discrete points is constructed; and on the basis of space-time differences between secondary congestion and primary congestion, a congestion point determination criterion is constructed and a spatial visual congestion point map is obtained. According to the method provided by the invention, a congestion spreading process and distribution situations of a congestion point and a congestion section can be expressed visually and clearly, thereby indicating a direction for congestion treatment and providing a technical support for congestion alleviation.

Description

Technical field [0001] The present invention relates to the field of urban design and planning, and more specifically, to a method for judging congestion points based on real-time road conditions. Background technique [0002] With the rapid economic development and the acceleration of urbanization, the number of cars has increased sharply, and the requirements of urban residents on road conditions have become more complicated and diversified. As a result, vehicles cannot be effectively evacuated in time, traffic organization is weak, and traffic congestion is formed. Congestion has become an urgent problem for cities. The key to alleviating traffic congestion is the accurate and effective identification of urban congestion points, congested roads and congested areas. At present, the identification of congestion points and congested roads is generally through traffic surveys and residents interviews. The above methods have certain contingency, subjectivity, and limitations, and ...

AI Technical Summary

Problems solved by technology

However, in practice, it is found that there is no technology for downloading and storing real-time traffic conditions, and the information in real-time traffic conditions cannot be effectively mined

Images