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An optimization approach for intersection signal timing based on Multi-Objective Particle Swarm Optimization
2008
2008 IEEE Conference on Cybernetics and Intelligent Systems
Intersection signal timing is one of the key techniques in intelligent transportation system (ITS). Both the average delay and stop frequency are important indices for evaluating the level of service (LOS) for signalized intersections. Traditional signal timing models either optimize only one of them or deal with them as a single objective using weighted average methods. In this paper, a Multi-Objective Particle Swarm Optimization (MOPSO) method is proposed to optimize the both evaluation
doi:10.1109/iccis.2008.4670973
fatcat:sjdwxtnwmbdapck3dv2hga2i24