A framework for urban traffic hotspots detection

dc.contributor.authorFernández Andrés, Javier
dc.contributor.authorPuertas Sanz, Enrique
dc.contributor.authorAliane, Nourdine
dc.contributor.authorFlores, Víctor
dc.date.accessioned2015-12-22T11:32:25Z
dc.date.available2015-12-22T11:32:25Z
dc.date.issued2015
dc.description.abstractThe present paper deals with partial development of SAMPLER Framework, based on an on-board perception and pre-collision system as well as an event data recorder (EDR), aimed at identifying risky traffic situations in urban areas. Information relayed to the detected risky traffic situations are then exploited to find out remarkable urban traffic hotspots visualizing them as layers on a digital map.spa
dc.description.filiationUEMspa
dc.description.impactNo data (2015)spa
dc.description.sponsorshipPlan nacional I+D (S2009/DPI-1509)spa
dc.description.sponsorshipUEM (2015/17)spa
dc.identifier.citationFernández, J., Puertas, E., Aliane, N., & Flores, V. (2015, September). A framework for urban traffic hotspots detection. In Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference (pp. 1229-1233). IEEE.spa
dc.identifier.doi10.1109/ITSC.2015.202
dc.identifier.isbn9781467365956
dc.identifier.urihttp://hdl.handle.net/11268/4715
dc.language.isoengspa
dc.peerreviewedSispa
dc.publisherIEEEspa
dc.rights.accessRightsrestricted accessen
dc.subject.uemAutomóvilesspa
dc.subject.uemSeguridad vialspa
dc.subject.unescoSeguridad del transportespa
dc.titleA framework for urban traffic hotspots detectionspa
dc.typeconference outputspa
dspace.entity.typePublication
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relation.isAuthorOfPublicationd0fe21f8-6d0b-41f8-9f29-2bc80fda352a
relation.isAuthorOfPublication.latestForDiscovery55416fc2-32ab-4351-b6a9-9abb03085fde

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