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dc.contributor.authorLinares Herreros, María Paz
dc.contributor.authorBarceló Bugeda, Jaime
dc.contributor.authorCarmona Bautista, Carlos
dc.contributor.authorMontero Mercadé, Lídia
dc.contributor.otherFacultat d'Informàtica de Barcelona
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2017-06-16T09:28:12Z
dc.date.available2017-06-16T09:28:12Z
dc.date.issued2016
dc.identifier.citationLinares, M. P., Barcelo, J., Carmona, C., L. M. Analysis and operational challenges of dynamic ride sharing demand responsive transportation models. A: International Symposium of Transport Simulation International Workshop on Traffic Data Collection and its Standardisation. "Transportation Research Procedia, Vol. 21: International Symposia of Transport Simulation (ISTS) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS) Advanced Transport Simulation Modelling based on Big Data". Yogyakarta: Elsevier, 2016, p. 110-129.
dc.identifier.isbn2352-1465
dc.identifier.urihttp://hdl.handle.net/2117/105480
dc.description.abstractThere is a wide body of evidence that suggests sustainable mobility is not only a technological question, but that automotive technology will be a part of the solution in becoming a necessary albeit insufficient condition. Sufficiency is emerging as a paradigm shift from car ownership to vehicle usage, which is a consequence of socio-economic changes. Information and Communication Technologies (ICT) now make it possible for a user to access a mobility service to go anywhere at any time. Among the many emerging mobility services, Multiple Passenger Ridesharing and its variants look the most promising. However, challenges arise in implementing these systems while accounting specifically for time dependencies and time windows that reflect users’ needs, specifically in terms of real-time fleet dispatching and dynamic route calculation. On the other hand, we must consider the feasibility and impact analysis of the many factors influencing the behavior of the system – as, for example, service demand, the size of the service fleet, the capacity of the shared vehicles and whether the time window requirements are soft or tight. This paper analyzes - a Decision Support System that computes solutions with ad hoc heuristics applied to variants of Pick Up and Delivery Problems with Time Windows, as well as to Feasibility and Profitability criteria rooted in Dynamic Insertion Heuristics. To evaluate the applications, a Simulation Framework is proposed. It is based on a microscopic simulation model that emulates real-time traffic conditions and a real traffic information system. It also interacts with the Decision Support System by feeding it with the required data for making decisions in the simulation that emulate the behavior of the shared fleet. The proposed simulation framework has been implemented in a model of Barcelona’s Central Business District. The obtained results prove the potential feasibility of the mobility concept.
dc.format.extent20 p.
dc.language.isoeng
dc.publisherElsevier
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::Matemàtiques i estadística::Estadística aplicada
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Trànsit
dc.subject.lcshCity traffic -- Mathematical models
dc.subject.otherDemand responsive transport
dc.subject.otherPickup and delivery with time windows
dc.subject.otherDynamic fleet management
dc.subject.otherMicrosopic traffic simulation
dc.titleAnalysis and operational challenges of dynamic ride sharing demand responsive transportation models
dc.typeConference report
dc.subject.lemacCirculació urbana -- Models matemàtics
dc.contributor.groupUniversitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi10.1016/j.trpro.2017.03.082
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S2352146517302193
dc.rights.accessOpen Access
drac.iddocument19162531
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/6PN/TRA2011-27791-C03-02
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/6PN/TRA2014-52530-C3-3-P
upcommons.citation.authorLinares, M. P., Barcelo, J., Carmona, C., Lídia Montero
upcommons.citation.contributorInternational Symposium of Transport Simulation International Workshop on Traffic Data Collection and its Standardisation
upcommons.citation.pubplaceYogyakarta
upcommons.citation.publishedtrue
upcommons.citation.publicationNameTransportation Research Procedia, Vol. 21: International Symposia of Transport Simulation (ISTS) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS) Advanced Transport Simulation Modelling based on Big Data
upcommons.citation.startingPage110
upcommons.citation.endingPage129


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain