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Optimal Cycle Program of Traffic Lights
Optimal scheduling of traffic lights, and in particular optimal light cycle programs, is also a crucial task in actual cities with potential benefits in terms of energy consumption, traffic flow management, pedestrian safety, and environmental issues. Unlike new decentralized self-regulated lights, or traditional queue based systems, the use of metaheuristic algorithms to find successful cycle programs of traffic lights is still an open issue. |
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References and Supporting Material
- J. García-Nieto, A. C. Olivera, E. Alba Optimal Cycle Program of Traffic Lights with Particle Swarm Optimization. IEEE Transaction of Evolutionary Computation (TEC). 17(6):823-839, December 2013. DOI: http://dx.doi.org/10.1109/TEVC.2013.2260755
- J. García-Nieto, E. Alba, A. C. Olivera. Swarm intelligence for traffic light scheduling: Application to real urban areas. Engineering Applications of Artificial Intelligence. 25(2):274-283, March 2012. DOI: http://dx.doi.org/10.1016/j.engappai.2011.04.011
- José García-Nieto, Ana C. Olivera, and Enrique Alba. Enhancing the Urban Road Traffic with Swarm Intelligence: A Case Study of Cordoba City Downtown. In IEEE Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA'2011). pp. 368-373, Córdoba, Spain, November 2011
- J. García-Nieto, E. Alba, and A. C. Olivera Particle swarm optimizatión aplicado a la programación de los ciclos de semáforos en Bahía Blanca. XVIII Congreso Argentino de Ciencias de la Computación (CACIC'12). Bahía Blanca, 8 a 12 de octubre, 2012.
- J. García-Nieto, E. Alba, and A. C. Olivera Planificación de Ciclos en Semáforos con PSO: Casos de Estudio sobre Málaga y Sevilla. VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pp. 117-124. Albacete, 8 a 10 de febrero, 2012.
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