1. Home
  2. TEMA - Centro de Tecnologia Mecânica e Automação
  3. TEMA - Artigos
Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26255
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTeixeira, Joãopt_PT
dc.contributor.authorMacedo, Eloísapt_PT
dc.contributor.authorFernandes, Paulopt_PT
dc.contributor.authorBandeira, Jorge M.pt_PT
dc.contributor.authorRouphail, Naguipt_PT
dc.contributor.authorCoelho, Margarida C.pt_PT
dc.date.accessioned2019-06-26T14:19:56Z-
dc.date.available2019-06-26T14:19:56Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/10773/26255-
dc.description.abstractThe objective of this study is to propose a methodological approach to assess the capability of different traffic monitoring applications to estimate emissions generated by road traffic. Global Navigation Satellite Systems and traffic data were collected from different roadways in Portugal and Spain. Emissions were estimated through the Vehicle Specific Power concept, and then, data mining tools were explored to reveal patterns hidden on large amount of data (154 000 sec). Finally, the best relationships between traffic variables and emissions are evaluated. Results show a prediction for CO2 emissions of 99% and 98% to NOX.-
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationThe authors acknowledge the projects: Strategic Project UID-EMS-00481-2013 and CENTRO-01-0145-FEDER-022083 (FCT Portuguese Science and Technology Foundation), and Projects: CISMOB (PGI01611, funded by Interreg Europe Programme), @CRUiSE (PTDC/EMS-TRA/0383/2014, funded within the Project 9471 - Reforçar a Investigação, o Desenvolvimento Tecnológico e a Inovação and supported by the European Community Fund FEDER) and MobiWise (P2020 SAICTPAC/0011/2015, co-funded by COMPETE2020, Portugal2020 - Operational Program for Competitiveness and Internationalization, European Union’s ERDF (European Regional Development Fund), and FCT). Special thanks go to Caetano Auto, S.A. for providing vehicles for the data collection and also to Pavlos Tafidis for his cooperation in the data collection.pt_PT
dc.relationUID-EMS-00481-2013pt_PT
dc.relationCENTRO-01-0145-FEDER022083pt_PT
dc.relationPGI01611pt_PT
dc.relationPTDC/EMS-TRA/0383/2014pt_PT
dc.relationSAICTPAC/0011/2015pt_PT
dc.relationThis work is financed by ERDF Funds through the Operational Program Competitiveness and Internationalization - COMPETE 2020 and by National Funds through FCT - Foundation for Science and Technology within the scope of the POCI-01-0145-FEDER-16740 project.-
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEmissionspt_PT
dc.subjectTraffic-related environmental impactspt_PT
dc.subjectVSPpt_PT
dc.titleAssessing traffic-related environmental impacts based on different traffic monitoring applicationspt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage107pt_PT
degois.publication.lastPage114pt_PT
degois.publication.titleTransportation Research Procediapt_PT
degois.publication.volume37pt_PT
dc.identifier.doi10.1016/j.trpro.2018.12.172pt_PT
dc.identifier.essn2352-1465pt_PT
Appears in Collections:TEMA - Artigos
DEM - Artigos

Files in This Item:
File Description SizeFormat 
Assessing traffic-related environmental.pdf728.65 kBAdobe PDFView/Open
Show simple item record


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.