Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information

Detalhes bibliográficos
Autor(a) principal: Gomes, Bernardo Policarpo
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/55538
Resumo: Tese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de Ciências
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spelling Creation of general traffic indicators for the city of Lisbon through the crossing of diversified informationtrânsitoprevisãoclassificaçãoLSTMDTCTeses de mestrado - 2022Departamento de InformáticaTese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de CiênciasWith the increase in the amount of vehicles and the population in big cities, problems related to traffic jams, traffic congestion and pollution arise with it. A lot of investigation has been done to try and solve or, at least, mitigate this problem. Governments are trying to mitigate traffic congestion and traffic jams by better understanding traffic, its characteristics and its patterns and getting insights about traffic. The purpose of this research is to create general traffic indicators for the city of Lisbon and, to do so, we will apply state of the art methods to a dataset of traffic from the city of Lisbon, provided by Camara Municipal de Lisboa ˆ that contain traffic data from the years of 2019 and 2020. We discuss the several types of data used in this type of problem, the pre-processing techniques used to transform the data, the several state of the art methods used for both prediction of traffic flow, and classification of different traffic situations, and also the performance metrics used to evaluate results. We make an exploratory and a more complex analysis to the provided data and also a discussion about the influence of the Covid-19 pandemic on the data and the problems that this could bring. We explain all the pre-processing and data cleaning techniques we used to handle the data, all the prediction models used, as in LSTM and ARIMA, and all the classification models used, as in Decision Tree Classifier and SVM. For the prediction task, LSTM obtained a mean RMSE of 10.493, while ARIMA got a mean RMSE of 38.722. For the classification task, DTC got a mean accuracy of 96.7%, while SVM got a mean accuracy of 88.6%.Coelho, José Romana Baptista, 1986-Tomás, Helena Isabel Aidos LopesRepositório da Universidade de LisboaGomes, Bernardo Policarpo2022-12-29T11:05:06Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/55538enginfo: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:RCAAP2023-11-08T17:02:36Zoai:repositorio.ul.pt:10451/55538Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:06:12.220454Repositório 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 Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
title Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
spellingShingle Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
Gomes, Bernardo Policarpo
trânsito
previsão
classificação
LSTM
DTC
Teses de mestrado - 2022
Departamento de Informática
title_short Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
title_full Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
title_fullStr Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
title_full_unstemmed Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
title_sort Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information
author Gomes, Bernardo Policarpo
author_facet Gomes, Bernardo Policarpo
author_role author
dc.contributor.none.fl_str_mv Coelho, José Romana Baptista, 1986-
Tomás, Helena Isabel Aidos Lopes
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Gomes, Bernardo Policarpo
dc.subject.por.fl_str_mv trânsito
previsão
classificação
LSTM
DTC
Teses de mestrado - 2022
Departamento de Informática
topic trânsito
previsão
classificação
LSTM
DTC
Teses de mestrado - 2022
Departamento de Informática
description Tese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de Ciências
publishDate 2022
dc.date.none.fl_str_mv 2022-12-29T11:05:06Z
2022
2022
2022-01-01T00:00:00Z
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/10451/55538
url http://hdl.handle.net/10451/55538
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: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
_version_ 1799134614753640448

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