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Numerical Simulation and Natural Computing applied to a Real World Traffic Optimization Case under Stress Conditions:

M.J. Galán Moreno, J.J. Sánchez Medina, L. Álvarez Álvarez E. Rubio Royo1
M.J. Galán Moreno, J.J. Sánchez Medina, L. Álvarez and E. Rubio Royo are members of CICEI, ULPGC, SPAIN.

Computer Modeling in Engineering & Sciences 2009, 50(3), 191-226. https://doi.org/10.3970/cmes.2009.050.191

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.

Keywords

Intelligent Transportation Systems, Traffic Modelling, Genetic Algorithms, Traffic Congestion.

Cite This Article

Moreno, M. G., Medina, J. S., Álvarez, L. (2009). Numerical Simulation and Natural Computing applied to a Real World Traffic Optimization Case under Stress Conditions:. CMES-Computer Modeling in Engineering & Sciences, 50(3), 191–226.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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