DocumentCode
3399516
Title
Genetic algorithms and cellular automata: a new architecture for traffic light cycles optimization
Author
Sánchez, Javier J. ; Galan, Manuel ; Rubio, E.
Author_Institution
Centro de Innovacion para la Sociedad de la Informacion, Las Palmas de GC Univ., Las Palmas de Gran Canaria, Spain
Volume
2
fYear
2004
fDate
19-23 June 2004
Firstpage
1668
Abstract
We present a new architecture for the optimization of traffic light cycles in a traffic network. The model is based on three basic design items: the use of genetic algorithms as an optimization technique, the use of cellular automata simulators within the evaluation function, and the use of a Beowulf cluster as parallel execution environment for this architecture. We also present some tests to demonstrate that this new architecture is suitable for the problem it solves.
Keywords
cellular automata; genetic algorithms; lighting control; parallel programming; road traffic; traffic engineering computing; Beowulf cluster; cellular automata simulators; genetic algorithms; parallel execution environment; traffic light cycles optimization; traffic network; Algorithm design and analysis; Artificial neural networks; Design optimization; Feedback; Genetic algorithms; Optimization methods; Telecommunication traffic; Testing; Traffic control; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1331096
Filename
1331096
Link To Document