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From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities

dc.contributor.authorDias, Tiago
dc.contributor.authorFonseca, Tiago
dc.contributor.authorVitorino, João
dc.contributor.authorMartins, Andreia
dc.contributor.authorMalpique, Sofia
dc.contributor.authorPraça, Isabel
dc.date.accessioned2023-09-05T14:31:39Z
dc.date.available2023-09-05T14:31:39Z
dc.date.issued2023
dc.description.abstractThe emergence of smart cities demands harnessing advanced technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities' potential to become more sustainable, efficient, and ultimately livable for their inhabitants. This work introduces an intelligent city management system that provides a data-driven approach to three use cases: (i) analyze traffic information to reduce the risk of traffic collisions and improve driver and pedestrian safety, (ii) identify when and where energy consumption can be reduced to improve cost savings, and (iii) detect maintenance issues like potholes in the city's roads and sidewalks, as well as the beginning of hazards like floods and fires. A case study in Aveiro City demonstrates the system's effectiveness in generating actionable insights that enhance security, energy efficiency, and sustainability, while highlighting the potential of AI and IoT-driven solutions for smart city development.pt_PT
dc.description.sponsorshipThe authors would like to thank the University of Aveiro, Insti-tuto de Telecomunicações and Câmara Municipal de Aveiro for organizing the event and proving the city data utilized in this work. This work has received funding from UIDB/00760/2020 and from UIDP/00760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.48550/arXiv.2306.04653pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23455
dc.language.isoengpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSecuritypt_PT
dc.subjectInternet of thingspt_PT
dc.subjectSmart citypt_PT
dc.subjectMachine learningpt_PT
dc.titleFrom Data to Action: Exploring AI and IoT-driven Solutions for Smarter Citiespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00760%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameDias
person.familyNameCaló Fonseca
person.familyNameMachado Vitorino
person.familyNameMartins
person.familyNameMalpique
person.familyNamePraça
person.givenNameTiago Fontes
person.givenNameTiago Carlos
person.givenNameJoão Pedro
person.givenNameAndreia
person.givenNameSofia
person.givenNameIsabel
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person.identifier.orcid0000-0002-1693-7872
person.identifier.orcid0000-0002-5592-3107
person.identifier.orcid0000-0002-4968-3653
person.identifier.orcid0000-0001-8017-7460
person.identifier.orcid0000-0003-2214-7495
person.identifier.orcid0000-0002-2519-9859
person.identifier.ridK-8430-2014
person.identifier.scopus-author-id57355096600
person.identifier.scopus-author-id57579914600
person.identifier.scopus-author-id22734900800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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