Artículo
Optimal Cycle Program of Traffic Lights With Particle Swarm Optimization
Autor/es | García Nieto, José Manuel
Olivera, Ana Carolina Alba, Enrique |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2013 |
Fecha de depósito | 2021-05-11 |
Publicado en |
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Resumen | Optimal staging of traffic lights, and in particular
optimal light cycle programs, is a crucial task in present day cities
with potential benefits in terms of energy consumption, traffic
flow management, pedestrian ... Optimal staging of traffic lights, and in particular optimal light cycle programs, is a crucial task in present day cities with potential benefits in terms of energy consumption, traffic flow management, pedestrian safety, and environmental issues. Nevertheless, very few publications in the current literature tackle this problem by means of automatic intelligent systems, and, when they do, they focus on limited areas with elementary traffic light schedules. In this paper, we propose an optimization approach in which a particle swarm optimizer (PSO) is able to find successful traffic light cycle programs. The solutions obtained are simulated with simulator of urban mobility, a well-known microscopic traffic simulator. For this study, we have tested two large and heterogeneous metropolitan areas with hundreds of traffic lights located in the cities of Bah´ıa Blanca in Argentina (American style) and M´alaga in Spain (European style). Our algorithm is shown to obtain efficient traffic light cycle programs for both kinds of cities. In comparison with expertly predefined cycle programs (close to real ones), our PSO achieved quantitative improvements for the two main objectives: 1) the number of vehicles that reach their destination and 2) the overall journey time. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | TIN2011-28194
BES-2009-018767 |
Cita | García Nieto, J.M., Olivera, A.C. y Alba, E. (2013). Optimal Cycle Program of Traffic Lights With Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, 17 (6), 823-839. |
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