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dc.contributor.authorMontero Mercadé, Lídia
dc.contributor.authorLinares Herreros, María Paz
dc.contributor.authorCasanovas Garcia, Josep
dc.contributor.authorCodina Sancho, Esteve
dc.contributor.authorRecio, Gonzalo
dc.contributor.authorLorente, Ester
dc.contributor.authorSalmeron Moya, Juan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor.otherFacultat d'Informàtica de Barcelona
dc.date.accessioned2018-11-07T12:06:15Z
dc.date.available2018-11-07T12:06:15Z
dc.date.issued2018-06-25
dc.identifier.citationLídia Montero, Linares, M. P., Casanovas, J., Codina, E., Recio, G., Lorente, E., Salmeron, J. Impact on network performance of probe vehicle data usage: an experimental design for simulation assessment. "Journal of advanced transportation", 25 Juny 2018, vol. 2018, p. 1-21.
dc.identifier.issn0197-6729
dc.identifier.urihttp://hdl.handle.net/2117/123688
dc.description.abstractProbe-based technologies are proliferating as a means for inferring traffic states. Technological companies are interested in traffic data for computing the best routes in a traffic-aware manner and they also provide real-time traffic information with certain temporal accuracy. This paper analyses and evaluates how data provided by a fleet of probe cars can be used to develop a navigation service and how the penetration rate of this service affects a set of city-scale KPIs (Key Performance Indicators) and driver KPIs. The case study adopts a model-driven approach in which microscopic simulation emulates real-size fleets of probe vehicles that provide positions and speed data. What is noteworthy about the modelling behaviour is that drivers are segmented according to their knowledge of network conditions for selected trips: experts, regular drivers and tourists. The paper presents and discusses the modelling approach and the results obtained from an experimental Barcelona CBD model designed to evaluate the penetration rates of probe vehicles and route guidance. An analysis of the simulation experiments reveals remarkable links among city-scale KPIs, which – from a multivariate point of view – is a novelty. A simulation-based framework for results analysis and visualization is also introduced in order to simplify the simulation results analysis and easily visualize OD paths for driver segments.
dc.format.extent21 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
dc.subject.lcshExperimental design
dc.subject.lcshComputer science
dc.subject.lcshSystem theory
dc.titleImpact on network performance of probe vehicle data usage: an experimental design for simulation assessment
dc.typeArticle
dc.subject.lemacDisseny d'experiments
dc.subject.lemacInformàtica
dc.subject.lemacSistemes de control
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1155/2018/3736417
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62K Design of experiments
dc.subject.amsClassificació AMS::68 Computer science::68P Theory of data
dc.subject.amsClassificació AMS::93 Systems Theory; Control::93B Controllability, observability, and system structure
dc.relation.publisherversionhttps://www.hindawi.com/journals/jat/aip/3736417/
dc.rights.accessOpen Access
local.identifier.drac23222552
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TRA2016-76914-C3-1-P
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 1749
local.citation.authorMontero, Lídia; Linares, M. P.; Casanovas, J.; Codina, E.; Recio, G.; Lorente, E.; Salmeron, J.
local.citation.publicationNameJournal of advanced transportation
local.citation.volume2018
local.citation.startingPage1
local.citation.endingPage21


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