Optimization of traffic lights timing based on Artificial Neural Networks

This paper presents a neural networks based traffic light controller for urban traffic road intersection called EOM-ANN Controller (Environment Observation Method based on Artificial Neural Networks Controller). EOM is a very interesting mathematical method for determining traffic lights timing. However, this method has some implications which artificial neural networks were proposed to improve such problems. To evaluate the proposed traffic control system, an isolated intersection was built in simulation software named SUMO (Simulation of Urban Mobility).