Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44298
Title: A visual and statistical study of a real world traffic optimization problem
Authors: Sánchez, J. J. 
Galán, M. J.
Rubio, E. 
UNESCO Clasification: 1203 Ciencia de los ordenadores
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.
URI: http://hdl.handle.net/10553/44298
ISBN: 978-1-905088-09-6
1-905088-09-4
DOI: 10.4203/ccp.84.147
Source: Proceedings of the 5th International Conference on Engineering Computational Technology
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

2
checked on Sep 13, 2020

Page view(s)

10
checked on Sep 13, 2020

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.