Intelligent traffic light control system based on wireless sensor network

Abstract

The invention relates to an intelligent traffic light control system based on a wireless sensor network. Multiple sensors are installed on an existing illumination electric pole so as to improve the sensing quality, more accurate vehicle flow identification and more accurate data are obtained, in this way, the traffic light conversion time can be automatically adjusted according to the vehicle flow passage condition of vehicles, the passage efficiency is improved, and accordingly the traffic jam of crossings is prevented; four gateway coordinators and four main controllers are arranged at theeast, west, south and north crossings respectively, the gateway coordinators are responsible for data gathering, and the main controllers are responsible for control over communication of the gatewaycoordinators and an external network and control over traffic lights; the gateway coordinators and the main controllers are installed in a traffic signal control box of an intersection, the main controllers output signals for controlling original traffic light controllers to achieve the traffic light conversion time, and meanwhile the main controllers can send collected data to a traffic command center through a 4G / 5G module; the gateway coordinators can be in communication with gateway coordinators of surrounding crossings, in this way, vehicle flow data of other crossings of the periphery ofthe crossing can be known through the gateway coordinators, so that the traffic light conversion time is better controlled, and the vehicle passage efficiency is improved.

Description

technical field [0001] The invention relates to the field of road transportation monitoring, in particular to an intelligent traffic light control system based on a wireless sensor network. Background technique [0002] With the growth of population, the pressure on traffic is increasing. The rapid economic growth has caused the growth of car ownership in various cities far exceeding the speed of urban traffic road construction in my country, which has caused urban traffic congestion to increase and traffic accidents to increase. , environmental pollution and a series of problems. At present, traditional timed traffic light control methods simply cannot cope with the huge and complex random situations in urban traffic, the main reasons are as follows: [0003] 1. Lack of sufficient traffic flow information. Traffic flow detection is the basis for realizing dynamic control of traffic lights. Traditional traffic flow detection methods mainly include methods such as magnetic in...

AI Technical Summary

Problems solved by technology

However, the traffic flow control system is a nonlinear system with great randomness. At any time, the green light time of the lane with heavy traffic flow may be short, while the green light time of the lane with small traffic flow is long. Unequal distribution of traffic lights for left and right turns leads to traffic congestion and high risk of traffic accidents

[0005] 3. In the prior art, the method of using traffic flow to control traffic lights is mainly to install traffic flow sensors at some key intersections to detect passing vehicles. There is no scientific, reasonable and effective urban traffic monitoring system

Images