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Stochastic vs Deterministic Traffic Simulator. Comparative Study for its Use Within a Traffic Lightt Cycles Optimazation Architecture

Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
  • Autor(es)
    J. Sánchez | M. Galán | E. Rubio
  • Editorial
    Springer-Verlag
  • Lugar
    Alemania
  • Tipo de libro
    Capítulo de libro
  • Título del libro
    Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
  • Volumen
    3562
  • ISBN
    978-3-540-26319-7
  • Idioma
    Inglés
  • Fecha
    Jun/2005
  • Páginas
    622-631

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

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