Control Strategies for Urban Traffic Tested in a Co-Simulation Framework

Abstract

The management of urban traffic is a challenging task due to its complexity and importance in modern cities. This work propoeses two control strategies for a study case developed in a co-simulation platform between a specialized traffic simulator (VISSIM) and Matlab to implement the control methods. The proposed strategies (Particle Swarm Optimization and Replicator Dynamics) are compared with a fixed-time technique (Webster) to analize the influence of the adaptive methods on some performance indexes such as queue lenghts, vehicle fluxes, and fuel consumption in a real network.