A tourism overcrowding sensor using multiple radio techniques detection
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/20212 |
Resumo: | The motivation for this dissertation came from the touristic pressure felt in the historic neighborhoods of Lisbon. This pressure is the result of the rise in the number of touristic arrivals and the proliferation of local accommodation. To mitigate this problem the research project in which this dissertation is inserted aims to disperse the pressure felt by routing the tourists to more sustainable locations and locations that are not crowded. The goal of this dissertation is then to develop a crowding sensor to detect, in real-time, the number of persons in its vicinity by detecting how many smartphones it observes in its readings. The proposed solution aims to detect the wireless trace elements generated by the normal usage of smartphones. The technologies in which the sensor will detect devices are Wi-Fi, Bluetooth and the mobile network. For testing the results gathered by the sensor we developed a prototype that was deployed on our campus and in a museum, during an event with strong attendance. The data gathered was stored in a time-series database and a data visualization tool was used to interpret the results. The overall conclusions of this dissertation are that it is possible to build a sensor that detects nearby devices thereby allowing to detect overcrowding situations. The prototype built allows to detect crowd mobility patterns. The composition of technologies and identity unification are topics deserving future research. |
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A tourism overcrowding sensor using multiple radio techniques detectionCrowdingReal-time detectionMultiple technologies detectionApinhamentoDeteção em tempo realDeteção de múltiplas tecnologiasTelecomunicação sem fiosSensorTurismoAlojamento localMétodo de detecçãoLisboa -- PortugalThe motivation for this dissertation came from the touristic pressure felt in the historic neighborhoods of Lisbon. This pressure is the result of the rise in the number of touristic arrivals and the proliferation of local accommodation. To mitigate this problem the research project in which this dissertation is inserted aims to disperse the pressure felt by routing the tourists to more sustainable locations and locations that are not crowded. The goal of this dissertation is then to develop a crowding sensor to detect, in real-time, the number of persons in its vicinity by detecting how many smartphones it observes in its readings. The proposed solution aims to detect the wireless trace elements generated by the normal usage of smartphones. The technologies in which the sensor will detect devices are Wi-Fi, Bluetooth and the mobile network. For testing the results gathered by the sensor we developed a prototype that was deployed on our campus and in a museum, during an event with strong attendance. The data gathered was stored in a time-series database and a data visualization tool was used to interpret the results. The overall conclusions of this dissertation are that it is possible to build a sensor that detects nearby devices thereby allowing to detect overcrowding situations. The prototype built allows to detect crowd mobility patterns. The composition of technologies and identity unification are topics deserving future research.A motivação para a presente dissertação surgiu da pressão turística sentida nos bairros históricos de Lisboa. Esta pressão é a consequência de um crescimento do número de turistas e de uma cada vez maior utilização e proliferação do alojamento local. Para mitigar este problema o projeto de investigação em que esta dissertação está inserida pretende dispersar os turistas por locais sustentáveis e que não estejam sobrelotados. O objetivo desta dissertação é o de desenvolver um sensor que consiga detetar, em tempo real, detetar quantas pessoas estão na sua proximidade com base nos smartphones que consegue detetar. A solução proposta tem como objetivo detetar os traços gerados pela normal utilização de um smartphone. As tecnologias nas quais o sensor deteta traços de utilização são Wi-Fi, Bluetooth e a rede móvel. Para realizar os testes ao sensor, foi desenvolvido um protótipo que foi instalado no campus e num museu durante um evento de grande afluência. Os dados provenientes destes testes foram guardados numa base de dados de séries temporais e analisados usando uma ferramenta de visualização de dados. As conclusões obtidas nesta dissertação são que é possível criar um sensor capaz de detetar dispositivos na sua proximidade e detetar situações de sobrelotação/apinhamento. O protótipo contruído permite detectar padrões de mobilidade de multidões. A composição de tecnologias e a unificação de identidade são problemas que requerem investigação futura.2022-12-16T00:00:00Z2019-12-17T00:00:00Z2019-12-172019-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/20212TID:202461564engSilva, Rúben Dias dainfo: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:RCAAP2023-11-09T17:42:54Zoai:repositorio.iscte-iul.pt:10071/20212Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:08.335115Repositório 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 |
A tourism overcrowding sensor using multiple radio techniques detection |
title |
A tourism overcrowding sensor using multiple radio techniques detection |
spellingShingle |
A tourism overcrowding sensor using multiple radio techniques detection Silva, Rúben Dias da Crowding Real-time detection Multiple technologies detection Apinhamento Deteção em tempo real Deteção de múltiplas tecnologias Telecomunicação sem fios Sensor Turismo Alojamento local Método de detecção Lisboa -- Portugal |
title_short |
A tourism overcrowding sensor using multiple radio techniques detection |
title_full |
A tourism overcrowding sensor using multiple radio techniques detection |
title_fullStr |
A tourism overcrowding sensor using multiple radio techniques detection |
title_full_unstemmed |
A tourism overcrowding sensor using multiple radio techniques detection |
title_sort |
A tourism overcrowding sensor using multiple radio techniques detection |
author |
Silva, Rúben Dias da |
author_facet |
Silva, Rúben Dias da |
author_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Rúben Dias da |
dc.subject.por.fl_str_mv |
Crowding Real-time detection Multiple technologies detection Apinhamento Deteção em tempo real Deteção de múltiplas tecnologias Telecomunicação sem fios Sensor Turismo Alojamento local Método de detecção Lisboa -- Portugal |
topic |
Crowding Real-time detection Multiple technologies detection Apinhamento Deteção em tempo real Deteção de múltiplas tecnologias Telecomunicação sem fios Sensor Turismo Alojamento local Método de detecção Lisboa -- Portugal |
description |
The motivation for this dissertation came from the touristic pressure felt in the historic neighborhoods of Lisbon. This pressure is the result of the rise in the number of touristic arrivals and the proliferation of local accommodation. To mitigate this problem the research project in which this dissertation is inserted aims to disperse the pressure felt by routing the tourists to more sustainable locations and locations that are not crowded. The goal of this dissertation is then to develop a crowding sensor to detect, in real-time, the number of persons in its vicinity by detecting how many smartphones it observes in its readings. The proposed solution aims to detect the wireless trace elements generated by the normal usage of smartphones. The technologies in which the sensor will detect devices are Wi-Fi, Bluetooth and the mobile network. For testing the results gathered by the sensor we developed a prototype that was deployed on our campus and in a museum, during an event with strong attendance. The data gathered was stored in a time-series database and a data visualization tool was used to interpret the results. The overall conclusions of this dissertation are that it is possible to build a sensor that detects nearby devices thereby allowing to detect overcrowding situations. The prototype built allows to detect crowd mobility patterns. The composition of technologies and identity unification are topics deserving future research. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-17T00:00:00Z 2019-12-17 2019-10 2022-12-16T00:00:00Z |
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/10071/20212 TID:202461564 |
url |
http://hdl.handle.net/10071/20212 |
identifier_str_mv |
TID:202461564 |
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 |
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1799134761307865088 |