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A multi-agent traffic simulation framework for evaluating the impact of traffic lights
dc.contributor.author | Cajías Hostos, Raúl | |
dc.contributor.author | González-Pardo, Antonio | |
dc.contributor.author | Camacho, David | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-05-04T13:45:15Z | |
dc.date.available | 2015-05-04T13:45:15Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | ICAART 2011: International Conference on Agents and Artificial Intelligence. INSTICC, 2011. 443-446 | en_US |
dc.identifier.isbn | 9789898425409 | |
dc.identifier.uri | http://hdl.handle.net/10486/665782 | |
dc.description | This is an electronic version of the paper presented at the 3rd International Conference on Agents and Artificial Intelligence, held in Rome on 2011 | en_US |
dc.description.abstract | The growing of the number of vehicles cause serious strains on road infrastructures. Traffic jams inevitably occur, wasting time and money for both cities and their drivers. To mitigate this problem, traffic simulation tools based on multiagent techniques can be used to quickly prototype potentially problematic scenarios to better understand their inherent causes. This work centers around the effects of traffic light configuration on the flow of vehicles in a road network. To do so, a Multi-Agent Traffic Simulation Framework based on Particle Swarm Optimization techniques has been designed and implemented. Experimental results from this framework show an improvement in the average speed obtained by traffic controlled by adaptive over static traffic lights. | en_US |
dc.description.sponsorship | This work has been supported by the Spanish Ministry of Science and Innovation. Grant TIN2010- 19872 | en_US |
dc.format.extent | 4 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | INSTICC | en_US |
dc.rights | Copyright 2011 - INSTICC and/or its suppliers. All rights reserved | en_US |
dc.subject.other | Multi-agent simulation | en_US |
dc.subject.other | Swarm computing | en_US |
dc.subject.other | Traffic optimization | en_US |
dc.title | A multi-agent traffic simulation framework for evaluating the impact of traffic lights | en_US |
dc.type | conferenceObject | en |
dc.type | bookPart | en |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.5220/0003181204430446 | es_ES |
dc.identifier.doi | 10.5220/0003181204430446 | |
dc.identifier.publicationfirstpage | 443 | |
dc.identifier.publicationlastpage | 446 | |
dc.relation.eventdate | January 28-30, 2011 | en_US |
dc.relation.eventnumber | 3 | |
dc.relation.eventplace | Rome (Italy) | en_US |
dc.relation.eventtitle | 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 | en_US |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.contributor.group | Análisis de Datos e Inteligencia Aplicada (ING EPS-012) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.authorUAM | Camacho Fernández, David (261274) | |
dc.facultadUAM | Escuela Politécnica Superior |