Urban intelligent traffic signal control system and method

Abstract

The invention relates to an urban intelligent traffic signal control system and method. According to the present invention, the real-time hierarchical control over the area is achieved on the basis ofa hierarchical reinforcement learning method, the adaptive flow control and the data feedback of the intersection are achieved on the basis of the deep reinforcement learning method, the abnormal flow monitoring is achieved, the calculation efficiency is greatly improved, and the intelligent control, adaptive flow and emergency situations of the intersection in the area are achieved. By dependingon the data to generate a reliable scheme, a closed loop of the traffic signal control key three-factor data, the scheme and the signal equipment is formed, so that the requirements of the travelersfor the traffic control that the traffic flow change can be responded real-timely and the red light waiting time is shortened, can be realized.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to a city-level intelligent traffic signal control system and method. Background technique [0002] With the rapid increase of car ownership and traffic flow, and the scale of urban ground transportation network infrastructure is almost unchanged, the traditional traffic control system has been greatly challenged. How to rationally use existing traffic facilities and give full play to their capabilities without increasing construction capital is the key to traffic management at this stage. Establishing a sound intelligent transportation system is the most effective way to solve the contradiction between the slow growth of traffic infrastructure construction and the rapid growth of the number of motor vehicles. [0003] Intelligent urban traffic control is a key element of urban management and control, whether it is the joint control of city-level signal intersections in layers an...

AI Technical Summary

Problems solved by technology

[0003]Smart urban traffic control is a key element of urban management and control, whether it is the joint control of city-level signal intersections hierarchically and regionally or the signal control of a single intersection, congestion There is still a lot of room for optimization of urban traffic control problems due to the emergence of regular congestion, the anxiety of travelers, etc.; the mutual influence of traffic flow between adjacent intersections, dynamic fluctuations, and irregularities of traffic waves conduction, etc., making the problem more complex and challenging

In particular, the urban traffic network environment in my country has typical dynamics and randomness, the non-linear arrival of motor vehicles, the large number and variety of non-motor vehicles, and the unstable road network caused by urban construction. Can not meet the increasingly complex traffic environment

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