Video-based main road cooperative signal machine control method

Abstract

The present application discloses a video-based main road cooperative signal machine control method, which includes: installation of video detectors at each intersection of the main road; data acquisition and communication of a single intersection; data acquisition and storage of multiple intersections; data processing of the main road coordination signal control; signal command release service and signal light control. The application adopts active video detection technology, which can accurately detect the traffic state of multiple intersections of the main road, formulate an optimized signal control scheme, provide optimal decision and emergency plan for the control of traffic light of the main road, improve the traffic efficiency of intersections and effectively alleviate traffic congestion on trunk roads.

Description

[0001]This application claims priority to Chinese Patent Application No. 201810238071.3, filed to the Chinese Patent Office on Mar. 22, 2018, entitled “Video-based main road cooperative signal machine control method”, the entire disclosure of which is incorporated herein by reference.FIELD OF THE INVENTION[0002]The present invention relates to the technical field of traffic signal optimization control, and in particular, to video-based main road cooperative signal machine control method.DESCRIPTION OF RELATED ART[0003]Urban congestion and accidents are increasingly frequent. In particular, traffic congestion at intersections is severe. If traffic flows cannot be effectively channeled in real time, road congestion will spread, and the efficiency of intersections will be reduced, causing great time and economic losses to the public. Video vehicle detection technology is to install video capture equipment on roads with complicated conditions or easy to form congestion, detect the numbe...

AI Technical Summary

Benefits of technology

The patent text describes a method for optimizing signal control at intersections by combining an objective function with a dynamic traffic flow density variation model. The method can accurately detect the traffic status and formulate an optimal signal control scheme for the main road, providing real-time decision-making and emergency response information. This can improve traffic operation efficiency and service level, leading to better traffic flow management and control.

Problems solved by technology

Urban congestion and accidents are increasingly frequent.

In particular, traffic congestion at intersections is severe.

If traffic flows cannot be effectively channeled in real time, road congestion will spread, and the efficiency of intersections will be reduced, causing great time and economic losses to the public.

The traditional model algorithm is too rigid to set the threshold according to the change of a certain traffic parameter to optimize the signal, which will cause the system to state.

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