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dc.contributor.authorTomás, Vicente R.
dc.contributor.authorPla-Castells, Marta
dc.contributor.authorMartínez, Juan José
dc.contributor.authorMartínez Cantó, Javier
dc.date.accessioned2017-12-11T12:06:59Z
dc.date.available2017-12-11T12:06:59Z
dc.date.issued2016-08
dc.identifier.citationTOMÁS, Vicente R., et al. Forecasting Adverse Weather Situations in the Road Network. IEEE Transactions on Intelligent Transportation Systems, 2016, vol. 17, no 8, p. 2334-2343.ca_CA
dc.identifier.issn1524-9050
dc.identifier.issn1558-0016
dc.identifier.urihttp://hdl.handle.net/10234/170759
dc.description.abstractWeather is an important factor that affects traffic flow and road safety. Adverse weather situations affect the driving conditions directly; hence, drivers must be informed about the weather conditions downstream to adapt their driving. In the framework of intelligent transport systems, several systems have been developed to know the weather situations and inform drivers. However, these systems do not forecast weather in advance, and they need the support of road operators to inform drivers. This paper presents a new autonomous system to forecast weather conditions in a short time and to give users the information obtained. The system uses a set of algorithms and rules to determine the weather and to forecast dangerous situations on the road network. It has been implemented using a multiagent approach and tested with real data. Results are very promising. The system is able to forecast adverse situations with a high degree of quality. This quality makes it possible to trust in the system and to avoid the supervision of operators.ca_CA
dc.format.extent10 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)ca_CA
dc.relation.isPartOfIEEE Transactions on Intelligent Transportation Systems, 2016, vol. 17, no 8, p. 2334-2343ca_CA
dc.rights© IEEEca_CA
dc.subjectintelligent transport systems (ITS)ca_CA
dc.subjectmultiagent systemca_CA
dc.subjectexpert systemsca_CA
dc.titleForecasting Adverse Weather Situations in the Road Networkca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1109/TITS.2016.2519103
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://ieeexplore.ieee.org/abstract/document/7438821/ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
workflow.import.sourcescience


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