Revolutionising the quality of life: the role of real-time sensing in smart cities

Detalhes bibliográficos
Autor(a) principal: Miranda, Rui
Data de Publicação: 2024
Outros Autores: Alves, Carlos Manuel Ferreira, Sousa, Regina, Chaves, António, Martinez, Larissa Muriel Montenegro, Peixoto, Hugo, Durães, Dalila, Machado, Ricardo J., Abelha, António, Novais, Paulo, Machado, José Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/89351
Resumo: To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.
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spelling Revolutionising the quality of life: the role of real-time sensing in smart citiescrowdsensingdata visualisationgeofencingmobile applicationssmart citiesTo further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.This work was supported by FCT-Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the project “Integrated and Innovative Solutions for the well-being of people in complex urban centers” within the Project Scope NORTE-01-0145-FEDER-000086. Rui Miranda was supported by grant no. UMINHO/BID/2021/137; Carlos Alves was supported by grant nos. 2022.12629.BD and UMINHO/BID/2021/134; Regina Sousa was supported by grant no. UMINHO/BID/2021/136; António Chaves was supported by grant no. UMINHO/BID/2021/135; Larissa Montenegro was supported by grant no. UMINHO/BID/2022/53.MDPIUniversidade do MinhoMiranda, RuiAlves, Carlos Manuel FerreiraSousa, ReginaChaves, AntónioMartinez, Larissa Muriel MontenegroPeixoto, HugoDurães, DalilaMachado, Ricardo J.Abelha, AntónioNovais, PauloMachado, José Manuel20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/89351engMiranda, R.; Alves, C.; Sousa, R.; Chaves, A.; Montenegro, L.; Peixoto, H.; Durães, D.; Machado, R.; Abelha, A.; Novais, P.; et al. Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities. Electronics 2024, 13, 550. https://doi.org/10.3390/electronics130305502079-929210.3390/electronics13030550https://www.mdpi.com/2079-9292/13/3/550info: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:RCAAP2024-03-09T01:19:50Zoai:repositorium.sdum.uminho.pt:1822/89351Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:13:59.867280Repositório 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 Revolutionising the quality of life: the role of real-time sensing in smart cities
title Revolutionising the quality of life: the role of real-time sensing in smart cities
spellingShingle Revolutionising the quality of life: the role of real-time sensing in smart cities
Miranda, Rui
crowdsensing
data visualisation
geofencing
mobile applications
smart cities
title_short Revolutionising the quality of life: the role of real-time sensing in smart cities
title_full Revolutionising the quality of life: the role of real-time sensing in smart cities
title_fullStr Revolutionising the quality of life: the role of real-time sensing in smart cities
title_full_unstemmed Revolutionising the quality of life: the role of real-time sensing in smart cities
title_sort Revolutionising the quality of life: the role of real-time sensing in smart cities
author Miranda, Rui
author_facet Miranda, Rui
Alves, Carlos Manuel Ferreira
Sousa, Regina
Chaves, António
Martinez, Larissa Muriel Montenegro
Peixoto, Hugo
Durães, Dalila
Machado, Ricardo J.
Abelha, António
Novais, Paulo
Machado, José Manuel
author_role author
author2 Alves, Carlos Manuel Ferreira
Sousa, Regina
Chaves, António
Martinez, Larissa Muriel Montenegro
Peixoto, Hugo
Durães, Dalila
Machado, Ricardo J.
Abelha, António
Novais, Paulo
Machado, José Manuel
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Miranda, Rui
Alves, Carlos Manuel Ferreira
Sousa, Regina
Chaves, António
Martinez, Larissa Muriel Montenegro
Peixoto, Hugo
Durães, Dalila
Machado, Ricardo J.
Abelha, António
Novais, Paulo
Machado, José Manuel
dc.subject.por.fl_str_mv crowdsensing
data visualisation
geofencing
mobile applications
smart cities
topic crowdsensing
data visualisation
geofencing
mobile applications
smart cities
description To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/89351
url https://hdl.handle.net/1822/89351
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Miranda, R.; Alves, C.; Sousa, R.; Chaves, A.; Montenegro, L.; Peixoto, H.; Durães, D.; Machado, R.; Abelha, A.; Novais, P.; et al. Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities. Electronics 2024, 13, 550. https://doi.org/10.3390/electronics13030550
2079-9292
10.3390/electronics13030550
https://www.mdpi.com/2079-9292/13/3/550
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.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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