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Forecasting Adverse Weather Situations in the Road Network

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Forecasting Adverse Weather Situations in the Road Network

dc.contributor.author	Tomás, Vicente R.
dc.contributor.author	Pla i Castells, Marta
dc.contributor.author	Martinez Durá, Juan José
dc.contributor.author	Martínez Plumé, Javier
dc.date.accessioned	2017-10-31T15:39:27Z
dc.date.available	2017-10-31T15:39:27Z
dc.date.issued	2016
dc.identifier.citation	Tomás, Vicente R. Pla i Castells, Marta Martinez Durá, Juan José Martínez Plumé, Javier 2016 Forecasting Adverse Weather Situations in the Road Network Ieee Transactions On Intelligent Transportation Systems 17 8 2334 2343
dc.identifier.uri	http://hdl.handle.net/10550/62932
dc.description.abstract	Weather 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.
dc.language.iso	eng
dc.relation.ispartof	Ieee Transactions On Intelligent Transportation Systems, 2016, vol. 17, num. 8, p. 2334-2343
dc.subject	Meteorologia
dc.subject	Transport per carretera
dc.subject	Seguretat viària
dc.subject	Investigació
dc.subject	Accidents Prevenció
dc.title	Forecasting Adverse Weather Situations in the Road Network
dc.type	journal article	es_ES
dc.date.updated	2017-10-31T15:39:27Z
dc.identifier.doi	10.1109/TITS.2016.2519103
dc.identifier.idgrec	111067
dc.rights.accessRights	open access	es_ES