Development of an information system for cycling navigation
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10773/30090 |
Summary: | 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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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.2020-12-15T19:54:08Z2020-09-01T00:00:00Z2020-09conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/30090engMatos, Francisco Lé deFernandes, José MariaSampaio, CarlosMacedo, JoaquimCoelho, Margarida C.Bandeira, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:29:04Zoai:ria.ua.pt:10773/30090Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:10:06.708480Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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 |
2020 |
dc.date.none.fl_str_mv |
2020-12-15T19:54:08Z 2020-09-01T00:00:00Z 2020-09 |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/30090 |
url |
http://hdl.handle.net/10773/30090 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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