Dynamic OD transit matrix estimation: formulation and model-building environment

The aim of this paper is to provide a detailed description of a framework for the estimation of time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering...

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Detalles Bibliográficos
Autores: Montero Mercadé, Lídia|||0000-0001-5722-138X, Codina Sancho, Esteve|||0000-0002-9431-6158, Barceló Bugeda, Jaime|||0000-0001-6195-6434
Tipo de recurso: capítulo de libro
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/27608
Acceso en línea:https://hdl.handle.net/2117/27608
https://dx.doi.org/10.1007/978-3-319-08422-0_51
Access Level:acceso abierto
Palabra clave:Demand Estimation
Information Systems
Advanced Transport Information Systems
Kalman Filtering
Classificació AMS::90 Operations research, mathematical programming
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
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spelling Dynamic OD transit matrix estimation: formulation and model-building environmentMontero Mercadé, Lídia|||0000-0001-5722-138XCodina Sancho, Esteve|||0000-0002-9431-6158Barceló Bugeda, Jaime|||0000-0001-6195-6434Demand EstimationInformation SystemsAdvanced Transport Information SystemsKalman FilteringClassificació AMS::90 Operations research, mathematical programmingÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativaThe aim of this paper is to provide a detailed description of a framework for the estimation of time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering formulation defined by the authors has been included in the application. The definition of the input for building the space-state model is linked to network scenarios modeled with the transportation planning platform EMME. The transit assignment framework is optimal strategy-based, which determines the subset of paths related to the optimal strategies between all OD pairsPeer ReviewedSpringer20152015-01-0120152015-04-27book parthttp://purl.org/coar/resource_type/c_3248AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/bookPartapplication/pdfapplication/pdfhttps://hdl.handle.net/2117/27608https://dx.doi.org/10.1007/978-3-319-08422-0_51reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/276082026-05-27T15:37:01Z
dc.title.none.fl_str_mv Dynamic OD transit matrix estimation: formulation and model-building environment
title Dynamic OD transit matrix estimation: formulation and model-building environment
spellingShingle Dynamic OD transit matrix estimation: formulation and model-building environment
Montero Mercadé, Lídia|||0000-0001-5722-138X
Demand Estimation
Information Systems
Advanced Transport Information Systems
Kalman Filtering
Classificació AMS::90 Operations research, mathematical programming
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
title_short Dynamic OD transit matrix estimation: formulation and model-building environment
title_full Dynamic OD transit matrix estimation: formulation and model-building environment
title_fullStr Dynamic OD transit matrix estimation: formulation and model-building environment
title_full_unstemmed Dynamic OD transit matrix estimation: formulation and model-building environment
title_sort Dynamic OD transit matrix estimation: formulation and model-building environment
dc.creator.none.fl_str_mv Montero Mercadé, Lídia|||0000-0001-5722-138X
Codina Sancho, Esteve|||0000-0002-9431-6158
Barceló Bugeda, Jaime|||0000-0001-6195-6434
author Montero Mercadé, Lídia|||0000-0001-5722-138X
author_facet Montero Mercadé, Lídia|||0000-0001-5722-138X
Codina Sancho, Esteve|||0000-0002-9431-6158
Barceló Bugeda, Jaime|||0000-0001-6195-6434
author_role author
author2 Codina Sancho, Esteve|||0000-0002-9431-6158
Barceló Bugeda, Jaime|||0000-0001-6195-6434
author2_role author
author
dc.subject.none.fl_str_mv Demand Estimation
Information Systems
Advanced Transport Information Systems
Kalman Filtering
Classificació AMS::90 Operations research, mathematical programming
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
topic Demand Estimation
Information Systems
Advanced Transport Information Systems
Kalman Filtering
Classificació AMS::90 Operations research, mathematical programming
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
description The aim of this paper is to provide a detailed description of a framework for the estimation of time-sliced origin-destination (OD) trip matrices in a transit network using counts and travel time data of Bluetooth Smartphone devices carried by passengers at equipped transit-stops. A Kalman filtering formulation defined by the authors has been included in the application. The definition of the input for building the space-state model is linked to network scenarios modeled with the transportation planning platform EMME. The transit assignment framework is optimal strategy-based, which determines the subset of paths related to the optimal strategies between all OD pairs
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01
2015
2015-04-27
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/27608
https://dx.doi.org/10.1007/978-3-319-08422-0_51
url https://hdl.handle.net/2117/27608
https://dx.doi.org/10.1007/978-3-319-08422-0_51
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
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