Distributed urban traffic signal optimization based on macroscopic model.

In this work an analysis of a distributed algorithm for the optimization of signal setting on urban network is proposed. The Traffic Signal Synchronization is a traffic engineering technique of matching the green light times for a series of intersections to enable the maximum number of vehicles to pass through, thereby reducing stops and delays experienced by motorists. Synchronizing Traffic Signals ensures a better flow of traffic and minimizes gas consumption and pollutant emissions. In this paper we compare a decentralized optimization approach with a global one. The analyse is done via simulation. The objective function used in this work is a weighted sum of the delays caused by the signalized intersections, and it is calculated via simulation by CTM-UT model. We used a classification method to reduce the network, and also a cooperation between signal setting is considered. The synchronisation of the signal setting is done by the surrogate approach, and an analysis on this approach is done. Numerical experiments on test network are reported.