This project aims to improve urban traffic flow in the city of Turin through a multi-agent system implemented on the GAMA platform. Traffic lights are modeled as intelligent agents capable of inter-agent communication based on the FIPA protocol.
Three operational modes were developed for traffic lights: fixed-timing, locally reactive, and communication-based coordination. Simulations evaluate traffic efficiency using cumulative positive acceleration as a proxy for fuel consumption and emissions. Results show significant improvements in traffic flow and reductions in unnecessary acceleration thanks to adaptive and cooperative strategies.
The system proves especially effective under high-traffic conditions, highlighting the potential of intelligent, communication-driven infrastructure for sustainable and efficient urban mobility.