A GA based Intelligent Traffic Signal Scheduling Model

Abstract

A GA based intelligent traffic signal scheduling model is proposed in this paper. There are two layers in this model. The upper layer decides which direction of intersection should have the priority to go. The intersection signal controller in the lower layer will execute its instruction. The upper layer has to make a decision in a very short time limit, or the signal in the lower layer will response to a wrong traffic pattern. It is as if what the fixed time signal scheduling strategy did before. This paper shows this idea through a simulation model. Our simulation results show that it saves 71 seconds from the fixed time signal scheduling strategy. The lost time might be even higher in our real world. If one intersection is jam-packed, our simulation result also shows that all cars will be redirected within a short time. This model can bring the travelers a better experience of traffic facility for keeping their transportation efficient