User-interface development for Brisa´s newly developed traffic forecast models

Detalhes bibliográficos
Autor(a) principal: Oser, Lennart Max
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/140144
Resumo: The following study summarises the outputs of the 18 months project-based-learning course together with Portuguese motorway concessionaire Brisa. Thereby, the study covers (traffic) forecasting models includings arima and facebook prophet as well as UI design principles. Further, the paper compares the performance of traffic volume forecast models for the 33 different motorways, using different sets of exogenous variables. Finally, the paper describes the development process of a new traffic volume forecast dashboard using Dash Plotly, a Python library. The work concludes, that using different(non-intentional) exogenous variables lead to very good model performance and by developing a user-interface, non-technical users get a chance to interact with (more)complex models.
id RCAP_cdf13784aa8bf0a67c7a4b4dde5fae7c
oai_identifier_str oai:run.unl.pt:10362/140144
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling User-interface development for Brisa´s newly developed traffic forecast modelsForecastingTime seriesUser-interfaceTraffic volume forecastingInteractive dashboardBusiness analysisDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe following study summarises the outputs of the 18 months project-based-learning course together with Portuguese motorway concessionaire Brisa. Thereby, the study covers (traffic) forecasting models includings arima and facebook prophet as well as UI design principles. Further, the paper compares the performance of traffic volume forecast models for the 33 different motorways, using different sets of exogenous variables. Finally, the paper describes the development process of a new traffic volume forecast dashboard using Dash Plotly, a Python library. The work concludes, that using different(non-intentional) exogenous variables lead to very good model performance and by developing a user-interface, non-technical users get a chance to interact with (more)complex models.Xufre, PatríciaRUNOser, Lennart Max2022-06-17T11:33:34Z2022-01-202021-12-172022-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/140144TID:202972119enginfo: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:RCAAP2024-05-22T18:02:30Zoai:run.unl.pt:10362/140144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:33:25.542446Repositórios 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 User-interface development for Brisa´s newly developed traffic forecast models
title User-interface development for Brisa´s newly developed traffic forecast models
spellingShingle User-interface development for Brisa´s newly developed traffic forecast models
Oser, Lennart Max
Forecasting
Time series
User-interface
Traffic volume forecasting
Interactive dashboard
Business analysis
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short User-interface development for Brisa´s newly developed traffic forecast models
title_full User-interface development for Brisa´s newly developed traffic forecast models
title_fullStr User-interface development for Brisa´s newly developed traffic forecast models
title_full_unstemmed User-interface development for Brisa´s newly developed traffic forecast models
title_sort User-interface development for Brisa´s newly developed traffic forecast models
author Oser, Lennart Max
author_facet Oser, Lennart Max
author_role author
dc.contributor.none.fl_str_mv Xufre, Patrícia
RUN
dc.contributor.author.fl_str_mv Oser, Lennart Max
dc.subject.por.fl_str_mv Forecasting
Time series
User-interface
Traffic volume forecasting
Interactive dashboard
Business analysis
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Forecasting
Time series
User-interface
Traffic volume forecasting
Interactive dashboard
Business analysis
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The following study summarises the outputs of the 18 months project-based-learning course together with Portuguese motorway concessionaire Brisa. Thereby, the study covers (traffic) forecasting models includings arima and facebook prophet as well as UI design principles. Further, the paper compares the performance of traffic volume forecast models for the 33 different motorways, using different sets of exogenous variables. Finally, the paper describes the development process of a new traffic volume forecast dashboard using Dash Plotly, a Python library. The work concludes, that using different(non-intentional) exogenous variables lead to very good model performance and by developing a user-interface, non-technical users get a chance to interact with (more)complex models.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
2022-06-17T11:33:34Z
2022-01-20
2022-01-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/140144
TID:202972119
url http://hdl.handle.net/10362/140144
identifier_str_mv TID:202972119
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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str 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
_version_ 1833596787848380416

Registros relacionados