Mostrar el registro sencillo del ítem

dc.contributor.author
García Nieto, José Manuel
dc.contributor.author
Olivera, Ana Carolina
dc.contributor.author
Alba, Enrique
dc.date.available
2017-10-18T14:52:54Z
dc.date.issued
2013-12
dc.identifier.citation
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
dc.identifier.issn
1089-778X
dc.identifier.uri
http://hdl.handle.net/11336/26766
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 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Programming Cycles of Traffic Lights
dc.subject
Particle Swarm Optimization
dc.subject
Sumo Simulator of Urban Mobility
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Optimal cycle program of traffic lights with particle swarm optimization
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-10-12T21:20:42Z
dc.journal.volume
17
dc.journal.number
6
dc.journal.pagination
823-839
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: García Nieto, José Manuel. Universidad de Málaga; España
dc.description.fil
Fil: Olivera, Ana Carolina. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Instituto de Ciencias e Ingenieria de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Alba, Enrique. Universidad de Málaga; España
dc.journal.title
Ieee Transactions On Evolutionary Computation
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TEVC.2013.2260755
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6510532/


Archivos asociados

Documento no disponible

Comunidades y colecciones

Mostrar el registro sencillo del ítem