Intersection traffic signal control method and device

Abstract

The invention relates to a traffic signal control method at an intersection, which can learn through environmental feedback according to the traffic state, so as to realize self-adaptive control of the traffic signal. The method includes: defining system parameters; establishing an Action network and a Critic network; initializing a controller; obtaining corresponding system control parameters according to the system state; obtaining performance indicators according to the state and action; alternately training the Critic network and the Action network; recording the network after reaching the training target weights; and use the trained Critic network and Action network for online control. The invention provides an effective way for the self-adaptive control of the intersection traffic signal by using the ADHDP method.

Description

technical field [0001] The invention relates to the field of urban traffic signal control, in particular to a traffic signal control method and equipment at an intersection. Background technique [0002] With the rapid growth of China's economy and the acceleration of urbanization, a large number of people are pouring into cities. The speed of construction and improvement of transportation facilities is far behind people's growing transportation needs, and the problem of traffic congestion has become increasingly prominent. [0003] There are many reasons for traffic congestion. In addition to factors such as insufficient traffic facilities, unreasonable traffic planning, and weak public traffic awareness, a very important factor is that the existing urban traffic signal control system has not fully functioned. Due to the particularity of urban traffic problems, it is difficult to establish an accurate mathematical model. Simple timing control and induction control methods ...

AI Technical Summary

Problems solved by technology

[0003] There are many reasons for traffic congestion. In addition to factors such as insufficient traffic facilities, unreasonable traffic planning, and weak public traffic awareness, a very important factor is that the existing urban traffic signal control system has not fully played its role.

Due to the particularity of urban traffic problems, it is difficult to establish an accurate mathematical model

Simple timing control and induction control methods are difficult to adapt to increasingly complex traffic conditions

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