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dc.contributor.authorUppoor, Sandesh
dc.contributor.authorTrullols Cruces, Óscar
dc.contributor.authorFiore, Marco
dc.contributor.authorBarceló Ordinas, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-07-04T10:17:56Z
dc.date.created2014-05
dc.date.issued2014-05
dc.identifier.citationUppoor, S. [et al.]. Generation and analysis of a large-scale urban vehicular mobility dataset. "IEEE transactions on mobile computing", Maig 2014, vol. 13, núm. 5, p. 1061-1075.
dc.identifier.issn1536-1233
dc.identifier.urihttp://hdl.handle.net/2117/23398
dc.description.abstractThe surge in vehicular network research has led, over the last few years, to the proposal of countless network solutions specifically designed for vehicular environments. A vast majority of such solutions has been evaluated by means of simulation, since experimental and analytical approaches are often impractical and intractable, respectively. The reliability of the simulative evaluation is thus paramount to the performance analysis of vehicular networks, and the first distinctive feature that has to be properly accounted for is the mobility of vehicles, i.e., network nodes. Notwithstanding the improvements that vehicular mobility modeling has undergone over the last decade, no vehicular mobility dataset is publicly available today that captures both the macroscopic and microscopic dynamics of road traffic over a large urban region. In this paper, we present a realistic synthetic dataset, covering 24 hours of car traffic in a 400-km2 region around the city of Köln, in Germany. We describe the generation process and outline how the dataset improves the traces currently employed for the simulative evaluation of vehicular networks. We also show the potential impact that such a comprehensive mobility dataset has on the network protocol performance analysis, demonstrating how incomplete representations of vehicular mobility may result in over-optimistic network connectivity and protocol performance.
dc.format.extent15 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshMobile communication systems
dc.subject.lcshGlobal Positioning System
dc.subject.otherCommunication/Networking and Information Technology
dc.subject.otherComputer Systems Organization
dc.subject.otherMobile Computing
dc.subject.otherMobile environments
dc.subject.otherNetwork Architecture and Design
dc.subject.otherWireless communication
dc.titleGeneration and analysis of a large-scale urban vehicular mobility dataset
dc.typeArticle
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.subject.lemacSistema de posicionament global
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1109/TMC.2013.27
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468040
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac14971031
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorUppoor, S.; Trullols-Cruces, O.; Fiore, M.; Barcelo, J.
local.citation.publicationNameIEEE transactions on mobile computing
local.citation.volume13
local.citation.number5
local.citation.startingPage1061
local.citation.endingPage1075


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