|Title:||Global speed vs. mean travel time. Polynomial dependence analysis in traffic signals optimization using genetic algorithms and parallel computing||Authors:||Sánchez-Medina, Javier J.
Galán-Moreno, M. J.
|UNESCO Clasification:||120304 Inteligencia artificial
332702 Análisis del trafico
Cellular automata microsimulation
Traffic flow optimization
|Issue Date:||2009||Conference:||2009 International Conference on Artificial Intelligence, ICAI 2009||Abstract:||In our group we have developed a traffic lights programming optimization model based on the combination of Genetic Algorithms and Microsimulation running over a Beowulf Cluster parallel computer. So far, in this architecture we have used a single variable for the fitness function. In this research our aim is to explore any polynomial dependence - up to a 12 th degree - between two candidate variables as potential participants in the fitness function: Global Speed and the Mean Travel Time. All tests have been fulfilled using data from a real world scenario located in Saragossa, Spain. We have used the supplied traffic lights provided, and also traffic statistics from the zone.||URI:||http://hdl.handle.net/10553/44294||ISBN:||978-1-60132-109-1||Source:||Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, v. 2, p. 980-986|
|Appears in Collections:||Actas de congresos|
checked on Feb 28, 2021