Estimation method and system of traffic state discrimination indexes, storage medium, and application of system

Abstract

The invention belongs to the technical field of traffic information processing, and discloses an estimation method and system for traffic state discrimination indexes, a storage medium and an application of the system. The estimation method for the traffic state discrimination index comprises the following steps: selecting the queuing length, the traffic flow and the average speed as the traffic state discrimination indexes of an intersection; establishing and realizing an estimation model of each index according to radar data features; and performing feature extraction through actual measurement data, and verifying whether the queuing length, the traffic flow and the average speed obtained through a feature extraction algorithm are correct or not according to the change condition of the discrimination indexes and the relative error of the estimated values and the actual values of the discrimination indexes. According to the invention, the data analysis model is established according to the features of data acquired by the radar, the road traffic condition is monitored in real time, and the defects that a camera is limited by special weather, a ground induction coil has strong destructiveness to the ground, the floating car data permeability is insufficient and the sampling frequency is low can be eliminated.

Description

technical field [0001] The invention belongs to the technical field of traffic information processing, and in particular relates to an estimation method, system, storage medium and application of a traffic state discrimination index. Background technique [0002] At present, the main collection methods of traffic information are: camera detection, loop coil detection, radar detection, GPS detection. The video is easily affected by weather such as rain, snow, smog, and sandstorms during the detection process, and the detection accuracy is greatly affected by the weather. The induction coil will cause great damage to the road surface during the installation process, and it is easily damaged by road maintenance, water leakage and vehicle rolling, and the maintenance cost in the later period is relatively high. Due to the insufficient penetration rate of floating vehicles, the sample size is insufficient, and the vehicle coordination is difficult and the accuracy is not high. ...

AI Technical Summary

Problems solved by technology

In addition, there are few studies on the establishment of queue length models based on traffic radar detection data.

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