Vehicle queuing prediction method at toll booth

Abstract

The present invention provides a toll gate vehicle queuing prediction method. The method comprises the following steps: S1, collecting toll lane information and the traffic information of the toll lane of a toll gate; S2, collecting real-time traffic information Qi and real-time queuing length information of the toll gate at the Ti moment in real time; and S3, predicting the average queuing length and the average number of queuing vehicles at the (Ti+TT) moment according to the toll lane information, the traffic volume information, the real-time traffic flow information Qi and the real-time queuing length information, and predicting the obstruction degree according to the average queuing length and the average number of the queuing vehicles at the (Ti+TT) moment. According to the invention, the toll gate vehicle queuing prediction method can realize the accurate prediction of the queuing state and the traffic state of the toll gate for a long period in the future so as to help traffic control departments to make out accurate coordination management measures according to prediction results and improve the pass efficiency of the toll gate.

Description

technical field [0001] The invention relates to a traffic prediction method, in particular to a vehicle queuing prediction method at a toll station. Background technique [0002] Tollbooths are generally used for the toll management of expressways at the entrances and exits of high-speed roads. As part of the road network, tollbooths also need to detect and manage their traffic status, such as queue length and congestion status. There is no such method in the prior art. For the effective method of toll station queuing prediction and congestion state prediction, the existing vehicle queuing prediction is generally used at intersections, and the traffic conditions at intersections are collected through image acquisition equipment, and then detected by a combination of grayscale and edge detection Vehicle queuing length, although it can detect the queuing status of the intersection, it cannot set the queuing status of the intersection in the future, which is not conducive to ma...

AI Technical Summary

Problems solved by technology

[0002] Tollbooths are generally used for the toll management of expressways at the entrances and exits of high-speed roads. As part of the road network, tollbooths also need to detect and manage their traffic status, such as queue length and congestion status. There is no such method in the prior art. For the effective method of toll station queuing prediction and congestion state prediction, the existing vehicle queuing prediction is generally used at intersections, and the traffic conditions at intersections are collected through image acquisition equipment, and then detected by a combination of grayscale and edge detection Vehicle queuing length, although it can detect the queuing status of the intersection, it cannot set the queuing status of the intersection in the future, which is not conducive to making accurate traffic coordination measures, and the existing intersection vehicle queuing prediction The method is not suitable for toll stations, because toll stations implement different toll channels for different types of vehicles, and toll stations have the influence of human factors, so the existing methods cannot be applied to toll station vehicle queuing prediction

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