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MobiWise: Eco-routing decision support leveraging the Internet of things

2022Journal article Restricted access
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dc.contributor.authorAguiar, Ana
dc.contributor.authorFernandes, Paulo
dc.contributor.authorGuerreiro, Andreia
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, Manuel
dc.contributor.authorSargento, Susana
dc.date.accessioned2024-04-10T08:59:55Z
dc.date.available2024-04-10T08:59:55Z
dc.date.issued2022
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 These sensors are often already integrated in city infrastructure, some are technologically outdated, and are often operated by multiple entities.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.citationAna Aguiar, Paulo Fernandes, Andreia P. Guerreiro, Ricardo Tomás, João Agnelo, José Luís Santos, Filipe Araújo, Margarida C. Coelho, Carlos M. Fonseca, Pedro M. d’Orey, Miguel Luís, Susana Sargento, MobiWise: Eco-routing decision support leveraging the Internet of Things, Sustainable Cities and Society, Volume 87, 2022, 104180, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2022.104180pt_PT
dc.identifier.doi10.1016/j.scs.2022.104180pt_PT
dc.identifier.issn2210-6707
dc.identifier.issn2210-6715
dc.identifier.urihttp://hdl.handle.net/10400.22/25325
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2210670722004930pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/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.citation.titleSustainable Cities and Societypt_PT
oaire.citation.volume87pt_PT
person.familyNamed'Orey
person.givenNamePedro
person.identifier.ciencia-id451F-8C52-3194
person.identifier.orcid0000-0002-2017-808X
person.identifier.ridA-5262-2013
person.identifier.scopus-author-id36730839700
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationbcc1a63c-0b9b-478e-9caa-b8f03354c781
relation.isAuthorOfPublication.latestForDiscoverybcc1a63c-0b9b-478e-9caa-b8f03354c781

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