A traffic safety early warning method based on expressway traffic flow mutation

Abstract

A traffic safety early warning method based on sudden changes in expressway traffic flow. By judging the sudden change in traffic flow, abnormal traffic conditions can be found, which can help traffic management departments to detect abnormal traffic events early and effectively formulate management and dredging measures; According to the obtained basic information, the data is processed according to the four characteristics of road, time, road flow and weather, and the long-short memory model is applied to predict the traffic flow at the downstream intersection; the actual flow at the downstream intersection is obtained and the predicted flow is compared and analyzed , to judge the traffic state; according to the analysis results of sudden changes in traffic flow, it is judged whether there is an abnormal situation between the two collection points, and a timely warning is given for possible traffic incidents. The present invention analyzes and studies the state of road traffic flow, and timely and accurately identifies the current and future traffic flow state, which is an important prerequisite for formulating correct induction and control measures.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a traffic safety early warning method based on expressway traffic flow mutation. Background technique [0002] Sudden changes in traffic flow are mostly directly related to abnormal events such as road traffic incidents and traffic accidents. Through the real-time analysis and judgment of sudden changes in traffic flow, and timely warning of traffic incidents, the speed of discovering traffic anomalies can be effectively improved. [0003] At present, the detection methods for sudden changes in traffic flow are mainly analyzed around factors such as vehicle speed and distance between vehicles. However, in the current actual road operation and traffic management applications, it has not been able to obtain and analyze the vehicle speed and the distance between the fronts of the vehicle relatively well, and it cannot be applied to actual life and production. Contents of t...

AI Technical Summary

Problems solved by technology

However, in the current actual road operation and traffic management applications, it has not been able to obtain and analyze the vehicle speed and the distance between the fronts of the vehicle, and it cannot be applied to actual life and production.

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