Artículos de revistas
Optimal cycle program of traffic lights with particle swarm optimization
Fecha
2013-12Registro en:
García Nieto, José Manuel ; Olivera, Ana Carolina; Alba, Enrique; Optimal cycle program of traffic lights with particle swarm optimization; Institute of Electrical and Electronics Engineers; Ieee Transactions On Evolutionary Computation; 17; 6; 12-2013; 823-839
1089-778X
CONICET Digital
CONICET
Autor
García Nieto, José Manuel
Olivera, Ana Carolina
Alba, Enrique
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 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 Malaga 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.