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Using automated planning for traffic signals control

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Planificación y Aprendizajees
dc.contributor.authorGulic, Matija
dc.contributor.authorOlivares, Ricardo
dc.contributor.authorBorrajo Millán, Daniel
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2023-11-03T11:40:39Z
dc.date.available2023-11-03T11:40:39Z
dc.date.issued2016-08-30
dc.description.abstractSolving traffic congestions represents a high priority issue in many big cities. Traditional traffic control systems are mainly based on pre-programmed, reactive and local techniques. This paper presents an autonomic system that uses automated planning techniques instead. These techniques are easily configurable and modified, and can reason about the future implications of actions that change the default traffic lights behaviour. The proposed implemented system includes some autonomic properties, since it monitors the current traffic state, detects if the system is degrading its performance, sets up new sets of goals to be achieved by the planner, triggers the planner that generates plans with control actions, and executes the selected courses of actions. The obtained results in several artificial and real world data-based simulation scenarios show that the proposed system can efficiently solve traffic congestion.en
dc.format.extent9
dc.identifier.bibliographicCitationGulić, M., Olivares, R., & Borrajo, D. (2016). Using automated planning for traffic signals control. Promet-traffic & Transportation, 28(4), 383-391.en
dc.identifier.doihttps://doi.org/10.7307/ptt.v28i4.1952
dc.identifier.issn0353-5320
dc.identifier.publicationfirstpage383
dc.identifier.publicationissue4
dc.identifier.publicationlastpage391
dc.identifier.publicationtitlePromet-Traffic & Transportationen
dc.identifier.publicationvolume28
dc.identifier.urihttps://hdl.handle.net/10016/38752
dc.identifier.uxxiAR/0000018251
dc.language.isoengen
dc.publisherUniversity of Zagreben
dc.relation.projectIDGobierno de España. TIN2011-27652-C03-02es
dc.relation.projectIDGobierno de España. TIN2014-55637-C2-1-Res
dc.rights© The Authors, 2016.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherRoad management systemen
dc.subject.otherTraffic signal controlen
dc.subject.otherAutonomic systemen
dc.subject.otherAutomated planningen
dc.subject.otherRoad networksen
dc.subject.otherOptimizationen
dc.subject.otherAssignmenten
dc.subject.otherStrategiesen
dc.subject.otherGameen
dc.titleUsing automated planning for traffic signals controlen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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