Development of an information system for cycling navigation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/32442 |
Resumo: | This study develops an information system for cycling navigation based on seven different bikeability indicators: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emission hotspots. Therefore, field data were collected in a selected cycling network map of Aveiro, Portugal, during the weekdays' afternoon peak hour period. A conventional aluminum bicycle equipped with a GNSS data logger, a wireless heart rate recorder device and a video camera were used. Using the defined methodologies as well as GPS Visualizer and ArcGIS, a total of 8 hours of video and approximately 100.000 second by second data points were analyzed and organized through a 449-link map. Through three case studies, several optimal solutions for different OD pairs were studied using Dijkstra's shortest path algorithm. Results show significant tradeoffs between the traced routes according to the chosen type of indicator, pointing the information system' utility in providing useful information to cyclists and support management systems. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Development of an information system for cycling navigationBicyclesCycling navigationOn-road monitoringEnergy expenditureBicycle specific powerCycling infrastructureSafetyThis study develops an information system for cycling navigation based on seven different bikeability indicators: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emission hotspots. Therefore, field data were collected in a selected cycling network map of Aveiro, Portugal, during the weekdays' afternoon peak hour period. A conventional aluminum bicycle equipped with a GNSS data logger, a wireless heart rate recorder device and a video camera were used. Using the defined methodologies as well as GPS Visualizer and ArcGIS, a total of 8 hours of video and approximately 100.000 second by second data points were analyzed and organized through a 449-link map. Through three case studies, several optimal solutions for different OD pairs were studied using Dijkstra's shortest path algorithm. Results show significant tradeoffs between the traced routes according to the chosen type of indicator, pointing the information system' utility in providing useful information to cyclists and support management systems.Elsevier2021-10-22T10:57:44Z2021-02-03T00:00:00Z2021-02-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/32442eng10.1016/j.trpro.2021.01.012Matos, Francisco Lé deFernandes, José MariaSampaio, CarlosMacedo, JoaquimCoelho, Margarida C.Bandeira, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:02:29Zoai:ria.ua.pt:10773/32442Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:04:05.270129Repositório 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 |
Development of an information system for cycling navigation |
title |
Development of an information system for cycling navigation |
spellingShingle |
Development of an information system for cycling navigation Matos, Francisco Lé de Bicycles Cycling navigation On-road monitoring Energy expenditure Bicycle specific power Cycling infrastructure Safety |
title_short |
Development of an information system for cycling navigation |
title_full |
Development of an information system for cycling navigation |
title_fullStr |
Development of an information system for cycling navigation |
title_full_unstemmed |
Development of an information system for cycling navigation |
title_sort |
Development of an information system for cycling navigation |
author |
Matos, Francisco Lé de |
author_facet |
Matos, Francisco Lé de Fernandes, José Maria Sampaio, Carlos Macedo, Joaquim Coelho, Margarida C. Bandeira, Jorge |
author_role |
author |
author2 |
Fernandes, José Maria Sampaio, Carlos Macedo, Joaquim Coelho, Margarida C. Bandeira, Jorge |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Matos, Francisco Lé de Fernandes, José Maria Sampaio, Carlos Macedo, Joaquim Coelho, Margarida C. Bandeira, Jorge |
dc.subject.por.fl_str_mv |
Bicycles Cycling navigation On-road monitoring Energy expenditure Bicycle specific power Cycling infrastructure Safety |
topic |
Bicycles Cycling navigation On-road monitoring Energy expenditure Bicycle specific power Cycling infrastructure Safety |
description |
This study develops an information system for cycling navigation based on seven different bikeability indicators: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emission hotspots. Therefore, field data were collected in a selected cycling network map of Aveiro, Portugal, during the weekdays' afternoon peak hour period. A conventional aluminum bicycle equipped with a GNSS data logger, a wireless heart rate recorder device and a video camera were used. Using the defined methodologies as well as GPS Visualizer and ArcGIS, a total of 8 hours of video and approximately 100.000 second by second data points were analyzed and organized through a 449-link map. Through three case studies, several optimal solutions for different OD pairs were studied using Dijkstra's shortest path algorithm. Results show significant tradeoffs between the traced routes according to the chosen type of indicator, pointing the information system' utility in providing useful information to cyclists and support management systems. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-22T10:57:44Z 2021-02-03T00:00:00Z 2021-02-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/32442 |
url |
http://hdl.handle.net/10773/32442 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.trpro.2021.01.012 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137696491241472 |