An early warning method for highway congestion

Abstract

The invention discloses an early warning method for expressway congestion. 1. Obtain the traffic flow data of the expressway section L within time W, and establish a matrix; 2. Establish a linear discriminant function Z for the matrix S based on the Fisher discriminant analysis method, and set Class A is traffic flow, and Class B is congestion. The known historical traffic flow data corresponding to the results of Class A and Class B are respectively brought into Z to obtain Z A and Z B , calculate Z A and Z B the mean of Z AB ; 3. When the distance between the vehicle and the road segment L is Q, obtain the traffic flow data of the current expressway segment L within the first two minutes, and establish a matrix S v , the matrix S v Bring it into the linear discriminant function Z to get the result z v , when Z v ≤Z AB , then the current highway section L traffic flow is smooth, when Z v > Z AB , the driver will be informed that there is congestion in the current highway section L, and the congestion situation of the section in front of the vehicle can be estimated, which is convenient for the driver to change the itinerary in advance.

Description

technical field [0001] The invention belongs to the field of road safety and relates to an early warning method for expressway congestion. Background technique [0002] When a road traffic accident occurs or a major traffic safety hazard is discovered, the traditional traffic safety improvement method is mainly through the adoption of passive management measures to improve traffic safety. In recent years, with the development of road intelligent equipment and the improvement of road traffic data collection The focus of research in the field of traffic safety in all countries in the world is developing towards the field of active safety prevention and control. Active safety prevention and control means that researchers need to think about how to make predictions about future traffic safety incidents based on the current point of time. Take measures. Most of the current highway risk assessment methods are based on road alignment. According to various road alignment indicators...

AI Technical Summary

Problems solved by technology

[0003] Factors that affect the normal driving of vehicles on the expressway are not only caused by traffic accidents, but also often caused by the large number of vehicles or the weather. The existing risk assessment methods for expressways only predict whether there will be traffic accidents ahead, and cannot real-time Reflect to the driver the congestion situation of the road ahead under the current traffic flow state, and at the same time, the traffic flow prediction accuracy of the road ahead is low

Images