Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44297
Title: Study of correlation among several traffic parameters using evolutionary algorithms: traffic flow, greenhouse emissions and network occupancy
Authors: Medina, Javier Sánchez 
Moreno, Manuel Galán
Royo, Enrique Rubio 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Genetic algorithms
Cellular automata
Traffic optimisation
Greenhouse emission
Multicriteria optimisation
Issue Date: 2007
Project: Gestor de Conocimiento, Personal y Corporativo, Orientado A Procesos: Plataforma Suricata. 
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 
Abstract: During the last two years we have been working on the optimisation of traffic lights cycles. We designed an evolutionary, distributed architecture to do this. This architecture includes a Genetic Algorithm for the optimisation. So far we have performed a single criterion optimisation – the total volume of vehicles that left the network once the simulation finishes. Our aim is to extend our architecture towards a multicriteria optimisation. We are considering Network Occupancy and Greenhouse Emissions as suitable candidates for our purpose. Throughout this work we will share a statistical based study about the two new criteria that will help us to decide whether to include them or not in the fitness function of our system. To do so we have used data from two real world traffic networks.
URI: http://hdl.handle.net/10553/44297
ISBN: 978-3-540-75866-2
ISSN: 0302-9743
DOI: 10.1007/978-3-540-75867-9_142
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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