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MobiWise: eco-routing decision support leveraging the internet of things

2022-10Journal article Open access
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dc.contributor.authorAguiar, Ana
dc.contributor.authorFernandes, Paulo
dc.contributor.authorGuerreiro, Andreia P.
dc.contributor.authorTomás, Ricardo
dc.contributor.authorAgnelo, João
dc.contributor.authorSantos, José Luís
dc.contributor.authorAraújo, Filipe
dc.contributor.authorCoelho, Margarida C.
dc.contributor.authorFonseca, Carlos M.
dc.contributor.authorD'Orey, Pedro
dc.contributor.authorLuís, Miguel
dc.contributor.authorSargento, Susana
dc.date.accessioned2023-02-10T13:38:37Z
dc.date.available2023-02-10T13:38:37Z
dc.date.issued2022-10
dc.description.abstractEco-routing distributes traffic in cities to improve mobility sustainability. The implementation of eco-routing in real-life requires a diverse set of information, including different kinds of sensors. These sensors are often already integrated in city infrastructure, some are technologically outdated, and are often operated by multiple entities. In this work, we provide a use case-oriented system design for an eco-routing service leveraging Internet-of-Things (IoT) technologies. The methodology involves six phases: (1) defining an eco-routing use case for a vehicle fleet; (2) formulating a routing problem as a multi-objective optimisation to divert traffic at a relevant hub facility; (3) identifying data sources and processing required information; (4) proposing a microservice-based architecture leveraging IoT technologies adequate to a multi-stakeholder scenario; (5) applying a microscopic traffic simulator as a digital twin to deal with data sparsity; and (6) visually illustrating eco-routing trade-offs to support decision making. We built a proof-of-concept for a mid-sized European city. Using real data and a calibrated digital twin, we would achieve hourly total emissions reductions up to 2.1%, when applied in a car fleet composed of 5% of eco-routing vehicles. This traffic diversion would allow annual carbon dioxide and nitrogen oxides savings of 400 tons and 1.2 tons, respectively.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA. Aguiar, P. Fernandes, A. Guerreiro, R. Tomás, J. Agnelo, J. L. Santos, F. Araújo, M. Coelho, C. Fonseca, P. d'Orey, M. Luís, S. Sargento, MobiWise: Eco-Routing Decision Support Leveraging the Internet of Things, in Sustainable Cities and Society, vol. 87, December 2022. DOI:10.1016/j.scs.2022.104180pt_PT
dc.identifier.doi10.1016/j.scs.2022.104180pt_PT
dc.identifier.issn2210-6707
dc.identifier.urihttp://hdl.handle.net/10400.21/15542
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUID/CEC/00326/2020pt_PT
dc.relationCentre for Mechanical Technology and Automation
dc.relationResearch Centre in Real-Time and Embedded Computing Systems
dc.relationResearch Centre in Real-Time and Embedded Computing Systems
dc.relationInstituto de Telecomunicações
dc.relationInstituto de Telecomunicações
dc.relationCenter for Mathematics, University of Coimbra
dc.relationPOCI-01-0145-FEDER-031923pt_PT
dc.relationAn integrated assessment of road traffic noise and pollutants critical hotspots through advanced models
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2210670722004930?via%3Dihub#aep-article-footnote-id1pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEco-routingpt_PT
dc.subjectInternet of thingspt_PT
dc.subjectMulti objective optimisationpt_PT
dc.subjectDecision supportpt_PT
dc.titleMobiWise: eco-routing decision support leveraging the internet of thingspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical Technology and Automation
oaire.awardTitleResearch Centre in Real-Time and Embedded Computing Systems
oaire.awardTitleResearch Centre in Real-Time and Embedded Computing Systems
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleCenter for Mathematics, University of Coimbra
oaire.awardTitleAn integrated assessment of road traffic noise and pollutants critical hotspots through advanced models
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oaire.citation.endPage16pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSustainable Cities and Societypt_PT
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person.familyNamed'Orey
person.familyNameLuís
person.familyNameSargento
person.givenNamePedro
person.givenNameMiguel
person.givenNameSusana
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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