Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44288
Título: User equilibrium study of AETROS travel route optimization system
Autores/as: Sanchez-Medina, Javier J. 
Diaz-Cabrera, Moises 
Galan-Moreno, Manuel J.
Rubio-Royo, Enrique 
Clasificación UNESCO: 120304 Inteligencia artificial
332703 Sistemas de transito urbano
Palabras clave: Genetic Algorithm
Travel Time
Cellular automaton
User equilibrium
Destination pair
Fecha de publicación: 2012
Publicación seriada: Lecture Notes in Computer Science 
Resumen: We have designed a new urban travel route optimization model in combination with a new microscopic simulation paradigm. The core of the system stands over the assumption that we can have a traffic network with an Advanced Traffic Information System (ATIS) installed that advises drivers at every intersection as to which direction to take, depending of their destination. We have implemented a parallel Genetic Algorithm, running over a Beowulf cluster that performs a real-time optimization yielding that set of advised routes. By these means we propose an implicitly adaptable, expandable and flexible solution for the traveler route assignment problem, in order to maximize the performance of an urban network. Although in Dynamic Traffic Assignment (DTA) a rigorous Wardrop's User Equilibrium - [6] - cannot be fully carried out, we have developed a set of experiment aiming to see if there is a visible tendency to a User Equilibrium state for the proposed model. Results are encouraging.
URI: http://hdl.handle.net/10553/44288
ISBN: 978-3-642-27578-4
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27579-1_60
Fuente: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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