Intelligent Traffic Light Management using Multi-Behavioral Agents

[EN] One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lig...

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Detalles Bibliográficos
Autores: Cruz-Piris, Luis, Rivera, Diego, Marsa-Maestre, Ivan, de la Hoz, Enrique, Fernandez, Susel
Tipo de recurso: capítulo de libro
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/102997
Acceso en línea:https://riunet.upv.es/handle/10251/102997
Access Level:acceso abierto
Palabra clave:Telematics
Multi-Agents System
Intelligent Transportation System
Smart cities
Sensor Networks and Traffic Simulations
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spelling Intelligent Traffic Light Management using Multi-Behavioral AgentsCruz-Piris, LuisRivera, DiegoMarsa-Maestre, Ivande la Hoz, EnriqueFernandez, SuselTelematicsMulti-Agents SystemIntelligent Transportation SystemSmart citiesSensor Networks and Traffic Simulations[EN] One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.This work has been supported by the Spanish Ministry of Economy and Competitiveness grants TIN2016-80622-P, TIN2014-61627-EXP and TEC2013-45183-R, and by the University of Alcala through CCG2016/EXP-048.Editorial Universitat Politècnica de ValènciaMinisterio de Economía y CompetitividadUniversidad de AlcaláRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-10book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/102997reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2016-80622-P DYNAMIC NETWORK AGREEMENT: NEGOCIACIONES ESTRUCTURALES EN REDES COMPLEJASMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-61627-EXP DIVIDE AND NOT CONQUER - COMPORTAMIENTOS EMERGENTES EN REDES COMPLEJAS EGOISTASMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2013-45183-R INTELIGENCIA COLECTIVA PARA LA NAVEGACION INTELIGENTE DE TRAFICO VEHICULARUniversidad de Alcalá https://doi.org/10.13039/501100006302 CCG2016%2FEXP-048open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1029972026-06-13T07:49:27Z
dc.title.none.fl_str_mv Intelligent Traffic Light Management using Multi-Behavioral Agents
title Intelligent Traffic Light Management using Multi-Behavioral Agents
spellingShingle Intelligent Traffic Light Management using Multi-Behavioral Agents
Cruz-Piris, Luis
Telematics
Multi-Agents System
Intelligent Transportation System
Smart cities
Sensor Networks and Traffic Simulations
title_short Intelligent Traffic Light Management using Multi-Behavioral Agents
title_full Intelligent Traffic Light Management using Multi-Behavioral Agents
title_fullStr Intelligent Traffic Light Management using Multi-Behavioral Agents
title_full_unstemmed Intelligent Traffic Light Management using Multi-Behavioral Agents
title_sort Intelligent Traffic Light Management using Multi-Behavioral Agents
dc.creator.none.fl_str_mv Cruz-Piris, Luis
Rivera, Diego
Marsa-Maestre, Ivan
de la Hoz, Enrique
Fernandez, Susel
author Cruz-Piris, Luis
author_facet Cruz-Piris, Luis
Rivera, Diego
Marsa-Maestre, Ivan
de la Hoz, Enrique
Fernandez, Susel
author_role author
author2 Rivera, Diego
Marsa-Maestre, Ivan
de la Hoz, Enrique
Fernandez, Susel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad
Universidad de Alcalá
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Telematics
Multi-Agents System
Intelligent Transportation System
Smart cities
Sensor Networks and Traffic Simulations
topic Telematics
Multi-Agents System
Intelligent Transportation System
Smart cities
Sensor Networks and Traffic Simulations
description [EN] One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-10
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/102997
url https://riunet.upv.es/handle/10251/102997
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2016-80622-P DYNAMIC NETWORK AGREEMENT: NEGOCIACIONES ESTRUCTURALES EN REDES COMPLEJAS
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-61627-EXP DIVIDE AND NOT CONQUER - COMPORTAMIENTOS EMERGENTES EN REDES COMPLEJAS EGOISTAS
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TEC2013-45183-R INTELIGENCIA COLECTIVA PARA LA NAVEGACION INTELIGENTE DE TRAFICO VEHICULAR
Universidad de Alcalá https://doi.org/10.13039/501100006302 CCG2016%2FEXP-048
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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