A visualization tool based on traffic simulation for the analysis and evaluation of smart city policies, innovative vehicles and mobility concepts

Montero Mercadé, Lídia; Linares Herreros, María Paz; Serch, Oriol; Casanovas Garcia, Josep

doi:10.1109/WSC.2017.8248038

dc.contributor.author	Montero Mercadé, Lídia
dc.contributor.author	Linares Herreros, María Paz
dc.contributor.author	Serch, Oriol
dc.contributor.author	Casanovas Garcia, Josep
dc.contributor.other	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor.other	Facultat d'Informàtica de Barcelona
dc.date.accessioned	2018-01-22T21:00:37Z
dc.date.available	2018-01-22T21:00:37Z
dc.date.issued	2017
dc.identifier.citation	Lídia Montero, Linares, M. P., Serch, O., Casanovas, J. A visualization tool based on traffic simulation for the analysis and evaluation of smart city policies, innovative vehicles and mobility concepts. A: Winter Simulation Conference. "Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds.". Las Vegas: 2017, p. 3196-3207.
dc.identifier.uri	http://hdl.handle.net/2117/113082
dc.description	© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstract	The CitScale tool is a software platform for visualizing, analyzing and comparing the impacts of smart city policies based on innovative mobility concepts in urban areas. It places emphasis on new automotive vehicles aimed at reducing traffic or environmental impacts. This paper introduces this traffic simulation-based tool, and two case studies developed for different scenarios in Barcelona City are briefly presented to demonstrate the capabilities of the tool when it is combined with microscopic traffic simulation software. The first case presents an extensive evaluation of new innovative vehicles (electric vehicles, bikes and three-wheeled scooters) and mobility concepts (trip-sharing). In the second one, data provided by connected cars is analyzed in order to compare different developed navigation strategies and how they affect the city. Finally, some of the obtained results from both cases are concisely presented in order to show the potential of the proposed tool.
dc.format.extent	12 p.
dc.language.iso	eng
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Modelització estadística
dc.subject.other	Smart Cities
dc.subject.other	Visual Analytics Tool
dc.subject.other	Traffic Simulation
dc.title	A visualization tool based on traffic simulation for the analysis and evaluation of smart city policies, innovative vehicles and mobility concepts
dc.type	Conference lecture
dc.contributor.group	Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi	10.1109/WSC.2017.8248038
dc.description.peerreviewed	Peer Reviewed
dc.subject.ams	Classificació AMS::93 Systems Theory; Control
dc.relation.publisherversion	http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/8248038/
dc.rights.access	Open Access
drac.iddocument	21186226
dc.description.version	Postprint (author's final draft)
dc.relation.projectid	info:eu-repo/grantAgreement/AGAUR/PRI2014-2017/2014 SGR 1534
dc.relation.projectid	info:eu-repo/grantAgreement/MINECO/PE2016-2020/TRA2016-76914-C3-1-P
upcommons.citation.author	Montero, Lídia; Linares, M. P.; Serch, O.; Casanovas, J.
upcommons.citation.contributor	Winter Simulation Conference
upcommons.citation.pubplace	Las Vegas
upcommons.citation.published	true
upcommons.citation.publicationName	Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds.
upcommons.citation.startingPage	3196
upcommons.citation.endingPage	3207