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dc.contributor.authorVan Haare Heijmeijer, Alexis
dc.contributor.authorVaz Alves, Gleifer
dc.date.accessioned2019-02-05T12:02:03Z
dc.date.available2019-02-05T12:02:03Z
dc.date.issued2018-06-30
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/139214
dc.description.abstractSmart City has an infrastructure that works with technology to reduce daily problems. The lack of parking spots is one of these problems that can be controlled by creating Smart Parking systems. The MAPS (Multi-Agent Parking System) project studies and develops multi-agent systems for smart parking using JaCaMo framework to implement agents and artifacts. This paper presents the so-called MAPS-SUMO, a middleware between the MAPS project and SUMO, a simulation tool used for urban traffic. Our middleware allows a graphical representation for the simulation executed by MAPS agents.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputación
dc.subjectInformótica
dc.subjectComputing
dc.subjectInformation Technology
dc.titleDevelopment of a Middleware between SUMO simulation tool and JaCaMo framework
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Excepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivs 3.0 Unported