Mostra el registre d'ítem simple

Analytics tool for assessing innovative mobility concepts, vehicles and city policies (CitScale)

dc.contributor.authorLinares Herreros, María Paz
dc.contributor.authorMontero Mercadé, Lídia
dc.contributor.authorLorente, Ester
dc.contributor.authorSerch Muni, Oriol
dc.contributor.authorNavarro, Germán
dc.contributor.authorCasanovas Garcia, Josep
dc.contributor.authorSalmeron Moya, Juan
dc.contributor.otherFacultat d'Informàtica de Barcelona
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-07-09T10:02:24Z
dc.date.issued2017
dc.identifier.citationLinares, M. P., Lídia Montero, Lorente, E., Serch, O., Navarro, G., Casanovas, J., Salmeron, J. Analytics tool for assessing innovative mobility concepts, vehicles and city policies (CitScale). A: IEEE International Conference on Models and Technologies for Intelligent Transportation Systems. "5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS): Napoli, Italy: june 26-28, 2017: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 385-390.
dc.identifier.isbn978-1-5090-6484-7
dc.identifier.urihttp://hdl.handle.net/2117/119136
dc.description.abstractThe CitScale tool is a software platform for visualizing, analyzing and comparing the impacts of new mobility concepts in urban models with special emphasis on new automotive vehicles or those based on innovative mobility concepts aimed at reducing environmental impacts. CitScale is simulation software agnostic. Using traffic simulation techniques requires executing multiple independent replications for each scenario in an experimental design, and each replication generates a huge amount of data that is not easy to analyze or compare. The analysis and comparison of experiments and scenarios is based on global, link-based and path-based key performance indicators from the perspective of users and mobility authorities while covering the scope of driver-type and transport mode.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació
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::Simulació
dc.subject.lcshOperations research
dc.subject.lcshArtificial intelligence
dc.subject.lcshNumerical analysis--Simulation methods
dc.subject.otherSoftware platform
dc.subject.othersimulation analysis
dc.subject.othertools for intelligent transport systems
dc.titleAnalytics tool for assessing innovative mobility concepts, vehicles and city policies (CitScale)
dc.typeConference lecture
dc.subject.lemacInvestigació operativa
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1109/MTITS.2017.8005702
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90B Operations research and management science
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.subject.amsClassificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/8005702/
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21186103
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2014/SGR/1534
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TRA2014-52530-C3-3-P/ES/ROBUSTEZ, RECUPERACION Y ADAPTABILIDAD DE SISTEMAS DE TRANSPORTE PUBLICO/
dc.date.lift10000-01-01
local.citation.authorLinares, M. P.; Montero, Lídia; Lorente, E.; Serch, O.; Navarro, G.; Casanovas, J.; Salmeron, J.
local.citation.contributorIEEE International Conference on Models and Technologies for Intelligent Transportation Systems
local.citation.publicationName5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS): Napoli, Italy: june 26-28, 2017: proceedings
local.citation.startingPage385
local.citation.endingPage390


Fitxers d'aquest items

Imatge en miniatura
Nom:
MT-ITS NAPOLI 2017 final.pdf
Mida:
459,2Kb
Format:
PDF
Visualitza/Obre

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple