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Title: User equilibrium study of AETROS travel route optimization system
Authors: Sanchez-Medina, Javier J. 
Diaz-Cabrera, Moises 
Galan-Moreno, Manuel J.
Rubio-Royo, Enrique 
UNESCO Clasification: 120304 Inteligencia artificial
332703 Sistemas de transito urbano
Keywords: Genetic Algorithm
Travel Time
Cellular automaton
User equilibrium
Destination pair
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Abstract: 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.
ISBN: 978-3-642-27578-4
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27579-1_60
Source: 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
Appears in Collections:Actas de congresos
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