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Title: A visual and statistical study of a real world traffic optimization problem
Authors: Sánchez, J. J. 
Galán, M. J.
Rubio, E. 
UNESCO Clasification: 120304 Inteligencia artificial
332702 Análisis del trafico
Keywords: Cellular automata
Non-deterministic optimisation
Genetic algorithms
Traffic lights programming
Traffic simulation
Issue Date: 2006
Conference: 5th International Conference on Engineering Computational Technology, ECT 2006 
Abstract: In our group we have been dealing with the Traffic Lights programming problem for a couple of years. We have designed a new architecture to cope with this problem. In our system we use a Genetic Algorithm for performing this NP-Complete non-deterministic optimisation. Through this work our aim is to give an inside view -by means of a visual and statistical study - of what is happening during the evolution of the algorithm until it converges. Recently, we have been provided of real traffic data from the Santa Cruz de Tenerife local government for our research. A wide set of tests have been performed with these data, varying some algorithm parameters. In this paper we present some remarkable conclusions from all those tests as well as a new visual approach to the Genetic Algorithm tuning process.
ISBN: 978-1-905088-09-6
DOI: 10.4203/ccp.84.147
Source: Proceedings of the 5th International Conference on Engineering Computational Technology
Appears in Collections:Actas de congresos
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