DocumentCode
2911408
Title
Decentralised urban traffic control using genetic algorithm and cellular automata
Author
Kelly, Martin
Author_Institution
ICL Ltd., London
fYear
2008
fDate
1-6 June 2008
Firstpage
945
Lastpage
950
Abstract
This paper describes a traffic control simulation based on exchange of messages between local intersections which incorporate dynamically assembled cellular automata. A genetic algorithm is employed to determine parameters governing the messaging and cellular behaviour. This paper reports both on the convergence of the genetic algorithm towards fittest solutions; and on the performance of the genetic algorithm plus cellular automata combination, under various configurations.
Keywords
cellular automata; decentralised control; genetic algorithms; road traffic; traffic control; cellular behaviour; decentralised urban traffic control; dynamically assembled cellular automata; genetic algorithm; local intersections; messaging behaviour; traffic control simulation; Evolutionary computation; Genetic algorithms; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630910
Filename
4630910
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