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dc.contributor.authorSánchez Fernández, Pedro Luis 
dc.contributor.authorPato, Denis
dc.contributor.authorMartín, Gabriel
dc.date.accessioned2020-03-17T09:09:19Z
dc.date.available2020-03-17T09:09:19Z
dc.date.issued2019-01-18
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 8 (2019)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/142768
dc.description.abstractPollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy vehicles; concretely bikes, scooters and electric cars.
dc.description.abstractPollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy vehicles; concretely bikes, scooters and electric cars.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputación
dc.subjectInformótica
dc.subjectComputing
dc.subjectInformation Technology
dc.titleCTRANSPORT: Multi-agent-based simulation
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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