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Title: Stochastic vs deterministic traffic simulator. Comparative study for its use within a traffic light cycles optimization architecture
Authors: Medina, Javier Sánchez 
Moreno, Manuel Galán
Royo, Enrique Rubio 
UNESCO Clasification: 120304 Inteligencia artificial
120326 Simulación
332702 Análisis del trafico
Keywords: Model
Issue Date: 2005
Journal: Lecture Notes in Computer Science 
Conference: 1st International Work-Conference on the Interplay Between Natural and Artificial Computation 
Abstract: Last year we presented at the CEC2004 conference a novel architecture for traffic light cycles optimization. The heart of this architecture is a Traffic Simulator used as the evaluation tool (fitness function) within the Genetic Algorithm. Initially we allowed the simulator to have a random behavior. Although the results from this sort of simulation were consistent, it was necessary to run a huge amount of simulations before we could get a significant value for the fitness of each individual of the population. So we assumed some simplifications to be able to use a deterministic simulator instead of the stochastic one. In this paper we will confirm that it was the right decision; we will show that there is a strong linear correlation between the results of both simulators. Hence we show that the fitness ranking obtained by the deterministic simulator is as good as the obtained with the stochastic one.
ISBN: 978-3-540-26319-7
ISSN: 0302-9743
DOI: 10.1007/11499305_64
Source: Mira J., Álvarez J.R. (eds) Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. IWINAC 2005. Lecture Notes in Computer Science, vol 3562. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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