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http://hdl.handle.net/10553/44292
Título: | Numerical simulation and natural computing applied to a realworld traffic optimization case under stress conditions: "la almozara" district in saragossa | Autores/as: | Galán, Moreno J. Medina, Sánchez J. Álvarez, Álvarez Rubio Royo, Enrique |
Clasificación UNESCO: | 120304 Inteligencia artificial | Palabras clave: | Genetic algorithms Intelligent transportation systems Traffic congestion Traffic modelling |
Fecha de publicación: | 2009 | Publicación seriada: | CMES - Computer Modeling in Engineering and Sciences | Resumen: | Urban traffic is a key factor for the development of a city. There exist many different approaches facing traffic optimization. In our case we have focused on traffic lights optimization. We have designed and tested a new architecture to optimize traffic light cycle times. The purpose of this research is to demonstrate the good performance of our architecture in a congested scenario. We have simulated several congestion situations for a very large real world traffic network - "La Almozara" in Zaragoza, Spain. Our results seem encouraging in this extreme situation. As we increase the load in the network we get a the better traffic behavior of our architecture. Finally, new research directions are presented. | URI: | http://hdl.handle.net/10553/44292 | ISSN: | 1526-1492 | Fuente: | CMES - Computer Modeling in Engineering and Sciences[ISSN 1526-1492],v. 50 (3), p. 191-224 |
Colección: | Artículos |
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