DocumentCode :
708622
Title :
Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton
Author :
Aarab, Ilham ; Madani, Abdellah ; Kissi, Mohamed
Author_Institution :
Fac. of Sci., Dept. of Comput., LAROSERI, Chouaib Doukkali Univ., El-Jadida, Morocco
fYear :
2015
fDate :
25-26 March 2015
Firstpage :
1
Lastpage :
5
Abstract :
Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the PSO algorithm to get the appropriate values of parameters for self-organizing method. We will demonstrate that PSO algorithm provides an optimal solution in order to improve the global flow.
Keywords :
cellular automata; particle swarm optimisation; road traffic control; self-organising feature maps; PSO algorithm; cellular automaton; global flow; global flow optimization; optimizing self-organizing method; single junction; traffic jam; traffic lights control; traffic lights optimization; Automata; Computational modeling; Junctions; Optimization; Roads; Switches; Vehicles; PSO algorithm; cellular automaton models; self-organizing method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Computer Vision (ISCV), 2015
Conference_Location :
Fez
Print_ISBN :
978-1-4799-7510-5
Type :
conf
DOI :
10.1109/ISACV.2015.7105537
Filename :
7105537
Link To Document :
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