Ponencia
Enhancing the Urban Road Traffic with Swarm Intelligence: A Case Study of Córdoba City Downtown
Autor/es | García Nieto, José Manuel
Alba, Enrique Olivera, Ana Carolina |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2011 |
Fecha de depósito | 2021-05-07 |
Publicado en |
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ISBN/ISSN | 978-1-4577-1676-8 2164-7143 |
Resumen | In current modern cities, the increasing number of traffic lights that control the vehicular traffic flow requires a highly complex scheduling. Thousands of red lights, that have to be optimally programmed, are nowadays ... In current modern cities, the increasing number of traffic lights that control the vehicular traffic flow requires a highly complex scheduling. Thousands of red lights, that have to be optimally programmed, are nowadays operating in congested urban areas. Therefore, automatic intelligent systems are indispensable tools for optimally tackling this task. In this work, we propose a Swarm Intelligence approach that, coupled with the SUMO traffic simulator, is able to find successful cycle programs of traffic lights for large urban areas. In concrete, we have focused on a metropolitan area of the city downtown of Córdoba (in Spain). The experiments and comparisons with other techniques reveal that our proposed approach obtains significant profits in terms of traffic flow and global trip time |
Agencias financiadoras | Junta de Andalucía Ministerio de Ciencia, Innovación y Universidades (MICINN). España |
Identificador del proyecto | P07-TIC-03044
TIN2008-06491-C04-01 BES-2009-018767 |
Cita | García Nieto, J.M., Alba, E. y Olivera, A.C. (2011). Enhancing the Urban Road Traffic with Swarm Intelligence: A Case Study of Córdoba City Downtown. En ISDA 2011: 11th International Conference on Intelligent Systems Design and Applications (368-373), Córdoba, España: IEEE Computer Society. |
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