Present day traffic networks are unable to efficiently handle the daily car traffic through urban areas. We think that multiagent systems are an excellent way of doing microscopic simulation and thus provide possible solutions to the traffic control problem. In this paper, we present our simulation-based study to simulate traffic networks and optimize them via a multiagent cooperative system for traffic light control. This system simulates the traffic on an intersection, minimizing the time that each car has to wait in order to be served. Light agents can communicate each other in order to negotiate and share their light times. Our experimental results have shown how our approach can decrease the average car delay while the spawn probability is increased varying the service time and the number of traffic lights sets at a specific intersection. These results show important improvements using our multiagent light control system.
Towards Traffic Light Control Through a Cooperative Multiagent System: A Simulation-Based Study
Francisco Guzmán, and Leonardo Garrido. In Proceedings of the 2005 Agent-Directed Simulation Symposium (ADS05) at the 2005 Spring Simulation Multiconference (SpringSim'05), pages 29-35, 2005.
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