dc.creator | García Nieto, José Manuel | es |
dc.creator | Olivera, Ana Carolina | es |
dc.creator | Alba, Enrique | es |
dc.date.accessioned | 2021-05-11T10:45:48Z | |
dc.date.available | 2021-05-11T10:45:48Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | 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. | |
dc.identifier.issn | 1089-778X | es |
dc.identifier.uri | https://hdl.handle.net/11441/108851 | |
dc.description.abstract | 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. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2011-28194 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad BES-2009-018767 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Transactions on Evolutionary Computation, 17 (6), 823-839. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Particle Swarm Optimization | es |
dc.subject | Programming cycles of traffic lights | es |
dc.subject | simulator of urban mobility (SUMO) | es |
dc.title | Optimal Cycle Program of Traffic Lights With Particle Swarm Optimization | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2011-28194 | es |
dc.relation.projectID | BES-2009-018767 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/6510532 | es |
dc.identifier.doi | 10.1109/TEVC.2013.2260755 | es |
dc.journaltitle | IEEE Transactions on Evolutionary Computation | es |
dc.publication.volumen | 17 | es |
dc.publication.issue | 6 | es |
dc.publication.initialPage | 823 | es |
dc.publication.endPage | 839 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |