Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44292
Title: Numerical simulation and natural computing applied to a realworld traffic optimization case under stress conditions: "la almozara" district in saragossa
Authors: Galán, Moreno J.
Medina, Sánchez J. 
Álvarez, Álvarez
Rubio Royo, Enrique
UNESCO Clasification: 120326 Simulación
332907 Transporte
120304 Inteligencia artificial
Keywords: Genetic algorithms
Intelligent transportation systems
Traffic congestion
Traffic modelling
Issue Date: 2009
Journal: CMES - Computer Modeling in Engineering and Sciences 
Abstract: 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
Source: CMES - Computer Modeling in Engineering and Sciences[ISSN 1526-1492],v. 50 (3), p. 191-224
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