Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation

Detalhes bibliográficos
Autor(a) principal: António Júlio Nunes
Data de Publicação: 2016
Outros Autores: Teresa Galvão, João Falcão Cunha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6571
http://dx.doi.org/10.1109/tits.2015.2464335
Resumo: A methodology for estimating the destination of passenger journeys from automated fare collection (AFC) system data is described. It proposes new spatial validation features to increase the accuracy of destination inference results and to verify key assumptions present in previous origin-destination estimation literature. The methodology applies to entry-only system configurations combined with distance-based fare structures, and it aims to enhance raw AFC system data with the destination of individual journeys. This paper describes an algorithm developed to implement the methodology and the results from its application to bus service data from Porto. The data relate to an AFC system integrated with an automatic vehicle location system that records a transaction for each passenger boarding a bus, containing attributes regarding the route, the vehicle, and the travel card used, along with the time and the location where the journey began. Some of these are recorded for the purpose of allowing onboard ticket inspection but additionally enable innovative spatial validation features introduced by the methodology. The results led to the conclusion that the methodology is effective for estimating journey destinations at the disaggregate level and identifies false positives reliably.
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spelling Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial ValidationA methodology for estimating the destination of passenger journeys from automated fare collection (AFC) system data is described. It proposes new spatial validation features to increase the accuracy of destination inference results and to verify key assumptions present in previous origin-destination estimation literature. The methodology applies to entry-only system configurations combined with distance-based fare structures, and it aims to enhance raw AFC system data with the destination of individual journeys. This paper describes an algorithm developed to implement the methodology and the results from its application to bus service data from Porto. The data relate to an AFC system integrated with an automatic vehicle location system that records a transaction for each passenger boarding a bus, containing attributes regarding the route, the vehicle, and the travel card used, along with the time and the location where the journey began. Some of these are recorded for the purpose of allowing onboard ticket inspection but additionally enable innovative spatial validation features introduced by the methodology. The results led to the conclusion that the methodology is effective for estimating journey destinations at the disaggregate level and identifies false positives reliably.2018-01-17T09:56:21Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6571http://dx.doi.org/10.1109/tits.2015.2464335engAntónio Júlio NunesTeresa GalvãoJoão Falcão Cunhainfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:19:49Zoai:repositorio.inesctec.pt:123456789/6571Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:15.433563Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
title Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
spellingShingle Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
António Júlio Nunes
title_short Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
title_full Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
title_fullStr Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
title_full_unstemmed Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
title_sort Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
author António Júlio Nunes
author_facet António Júlio Nunes
Teresa Galvão
João Falcão Cunha
author_role author
author2 Teresa Galvão
João Falcão Cunha
author2_role author
author
dc.contributor.author.fl_str_mv António Júlio Nunes
Teresa Galvão
João Falcão Cunha
description A methodology for estimating the destination of passenger journeys from automated fare collection (AFC) system data is described. It proposes new spatial validation features to increase the accuracy of destination inference results and to verify key assumptions present in previous origin-destination estimation literature. The methodology applies to entry-only system configurations combined with distance-based fare structures, and it aims to enhance raw AFC system data with the destination of individual journeys. This paper describes an algorithm developed to implement the methodology and the results from its application to bus service data from Porto. The data relate to an AFC system integrated with an automatic vehicle location system that records a transaction for each passenger boarding a bus, containing attributes regarding the route, the vehicle, and the travel card used, along with the time and the location where the journey began. Some of these are recorded for the purpose of allowing onboard ticket inspection but additionally enable innovative spatial validation features introduced by the methodology. The results led to the conclusion that the methodology is effective for estimating journey destinations at the disaggregate level and identifies false positives reliably.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2018-01-17T09:56:21Z
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http://dx.doi.org/10.1109/tits.2015.2464335
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