Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 25, Issue 2, Pages 274-283Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2011.04.011
Keywords
Traffic light scheduling; Particle swarm optimization; SUMO microscopic simulator of urban mobility; Cycle program optimization; Realistic traffic instances
Categories
Funding
- Spanish Ministry MICINN
- FEDER [TIN2008-06491-C04-01]
- CICE, Junta de Andalucia [P07-TIC-03044]
- MICINN [BES-2009-018767]
- CONICET of Argentina
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Congestion, pollution, security, parking, noise, and many other problems derived from vehicular traffic are present every day in most cities around the world. The growing number of traffic lights that control the vehicular flow requires a complex scheduling, and hence, automatic systems are indispensable nowadays for optimally tackling this task. In this work, we propose a Swarm Intelligence approach to find successful cycle programs of traffic lights. Using a microscopic traffic simulator, the solutions obtained by our algorithm are evaluated in the context of two large and heterogeneous metropolitan areas located in the cities of Kilaga and Sevilla (in Spain). In comparison with cycle programs predefined by experts (close to real ones), our proposal obtains significant profits in terms of two main indicators: the number of vehicles that reach their destinations on time and the global trip time. (C) 2011 Elsevier Ltd. All rights reserved.
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