Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data

Bibliographic Details
Main Author: Sousa, Ricardo Nuno Costa Moinhos Santos de
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/32527
Summary: This work aims to tackle the problem of congestion on the main access roads to the city of Lisbon, and the main factors behind it. With the help of the Lisbon City Council, via Lx Data Lab, which provided the date obtained from a contract already established with a mobile operator and with IPMA, where it is possible to generate events completely anonymously through the signalling exchanged between the mobile network and the user's terminal to obtain information on the volume of entries and exits every 5 minutes at the 11 access points to the city during the period from September 2021 to December 2022. They also provided access to the weather and rainfall conditions during the same period of analysis, allowing a comparison to be made between these conditions and the volume of inflows and outflows, characterising them during the morning and afternoon rush hour periods and with variables such as school and holiday periods. This work aimed to: 1) create knowledge about the problems of congestion and traffic management; 2) identify the possible factors and time periods with the most traffic; 3) visualise and analyse the work carried out in order to extract knowledge that will help decision-making in tackling the problem of congestion. An LTSM model was used to make short-term forecasts, which obtained good results both in terms of its ability to predict the patterns of rise and fall of the real values and in obtaining a low loss value in the validation set.
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spelling Analysis of commuter movements on main access routes to the city of Lisbon using cell phone dataCongestionSmart CitiesCellular networkRoamingCity accessAnálise de dados -- Data analysisCongestionamentoCidades inteligentesRede celularAcesso à cidadeThis work aims to tackle the problem of congestion on the main access roads to the city of Lisbon, and the main factors behind it. With the help of the Lisbon City Council, via Lx Data Lab, which provided the date obtained from a contract already established with a mobile operator and with IPMA, where it is possible to generate events completely anonymously through the signalling exchanged between the mobile network and the user's terminal to obtain information on the volume of entries and exits every 5 minutes at the 11 access points to the city during the period from September 2021 to December 2022. They also provided access to the weather and rainfall conditions during the same period of analysis, allowing a comparison to be made between these conditions and the volume of inflows and outflows, characterising them during the morning and afternoon rush hour periods and with variables such as school and holiday periods. This work aimed to: 1) create knowledge about the problems of congestion and traffic management; 2) identify the possible factors and time periods with the most traffic; 3) visualise and analyse the work carried out in order to extract knowledge that will help decision-making in tackling the problem of congestion. An LTSM model was used to make short-term forecasts, which obtained good results both in terms of its ability to predict the patterns of rise and fall of the real values and in obtaining a low loss value in the validation set.Este trabalho aborda o problema do congestionamento nas principais vias de acesso à cidade de Lisboa, e os principais fatores que estão na sua origem. Foi realizado com a ajuda da Câmara Municipal de Lisboa, via Lx Data Lab, que disponibilizou os dados utilizados através de um contrato já estabelecido com uma operadora móvel e com o IPMA, sendo possível gerar eventos anonimamente através da sinalização trocada entre a rede móvel e o terminal do utilizador, obtendo informação sobre o volume de entradas e saídas a cada 5 minutos nos 11 pontos de acesso à cidade durante o período de setembro de 2021 a dezembro de 2022. Disponibilizaram também acesso às condições climatéricas e pluviométricas durante o período de análise, permitindo comparar estas condições com o volume de entradas e saídas, caracterizando-as nos períodos da hora de ponta da manhã e da tarde e com variáveis como os períodos escolares e de férias. Este trabalho teve como objetivos: 1) criar conhecimento sobre o problema do congestionamento e da gestão do trânsito; 2) identificar os possíveis fatores e períodos horários com mais trânsito; 3) visualizar e analisar o trabalho realizado de forma a extrair conhecimento que auxilie a tomada de decisão na resolução do problema do congestionamento. Para a realização de previsões de curto prazo foi utilizado um modelo LTSM, obtendo bons resultados, quer pela sua capacidade de prever os padrões de subida e descida dos valores reais, quer pelo baixo valor de perda no conjunto de validação.2024-10-22T11:53:31Z2024-07-08T00:00:00Z2024-07-082024-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/32527TID:203704614engSousa, Ricardo Nuno Costa Moinhos Santos deinfo: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:RCAAP2024-10-27T01:16:43Zoai:repositorio.iscte-iul.pt:10071/32527Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:02:08.955307Repositórios 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 Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
title Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
spellingShingle Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
Sousa, Ricardo Nuno Costa Moinhos Santos de
Congestion
Smart Cities
Cellular network
Roaming
City access
Análise de dados -- Data analysis
Congestionamento
Cidades inteligentes
Rede celular
Acesso à cidade
title_short Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
title_full Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
title_fullStr Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
title_full_unstemmed Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
title_sort Analysis of commuter movements on main access routes to the city of Lisbon using cell phone data
author Sousa, Ricardo Nuno Costa Moinhos Santos de
author_facet Sousa, Ricardo Nuno Costa Moinhos Santos de
author_role author
dc.contributor.author.fl_str_mv Sousa, Ricardo Nuno Costa Moinhos Santos de
dc.subject.por.fl_str_mv Congestion
Smart Cities
Cellular network
Roaming
City access
Análise de dados -- Data analysis
Congestionamento
Cidades inteligentes
Rede celular
Acesso à cidade
topic Congestion
Smart Cities
Cellular network
Roaming
City access
Análise de dados -- Data analysis
Congestionamento
Cidades inteligentes
Rede celular
Acesso à cidade
description This work aims to tackle the problem of congestion on the main access roads to the city of Lisbon, and the main factors behind it. With the help of the Lisbon City Council, via Lx Data Lab, which provided the date obtained from a contract already established with a mobile operator and with IPMA, where it is possible to generate events completely anonymously through the signalling exchanged between the mobile network and the user's terminal to obtain information on the volume of entries and exits every 5 minutes at the 11 access points to the city during the period from September 2021 to December 2022. They also provided access to the weather and rainfall conditions during the same period of analysis, allowing a comparison to be made between these conditions and the volume of inflows and outflows, characterising them during the morning and afternoon rush hour periods and with variables such as school and holiday periods. This work aimed to: 1) create knowledge about the problems of congestion and traffic management; 2) identify the possible factors and time periods with the most traffic; 3) visualise and analyse the work carried out in order to extract knowledge that will help decision-making in tackling the problem of congestion. An LTSM model was used to make short-term forecasts, which obtained good results both in terms of its ability to predict the patterns of rise and fall of the real values and in obtaining a low loss value in the validation set.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-22T11:53:31Z
2024-07-08T00:00:00Z
2024-07-08
2024-05
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/32527
TID:203704614
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