Urban Intelligent Traffic Signal Optimization Control And Simulation

With the development of economy and rise in level of urbanization, the traffic problems become more and more serious. How to manage and control the existing traffic effectively is a very important problem in traffic and transportation field. Along with the movement of Intelligent Transportation System, traffic signal control remains one of the most important research fields and development items. This paper discusses that how to use advanced science methods to control traffic signal. Through the analysis of the basic theory of traffic, the analysis of traffic flow in an intersection, two real-time models of four –phase traffic signal control according to the objective function of vehicle queue length in an intersection are presented. One is about how to distribute the phase green duration of traffic signal, the other is about how to forecast the traffic flow. The objects of these two models are respectively single intersection and traffic network that comprise four intersections. In this dissertation, the principle of the traffic signal control based on intelligent optimization, the basic optimal theories is presented. The simulation tests of phase green duration in the mode are conducted using Genetic algorithm method. The simulation results show that the optimal method of Genetic Algorithm is superior to tradition methods, and it is suitable for determining the green split in a single intersection.