Traffic Signal Predictive Control Based on Cellular Automata Prediction Model and Non-Analytical Optimization

Abstract

The effective control strategies of traffic signal can increase the passing-through traffic volume and decrease the total queue delay. Based on the prediction model of cellular automata, the corresponding non-analytical optimization procedure utilizing genetic algorithm is established for the traffic signal predictive control. The inductive predictive control for traffic signal is proposed which has certain practical importance. The simulation results demonstrate the advantages of proposed predictive control strategy over the conventional methods.