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Using smart traffic lights to reduce CO2 emissions and improve traffic flow at intersections: simulation of an intersection in a small Portuguese city

2024Journal article Open access
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dc.contributor.authorSantos, Osvaldo
dc.contributor.authorRibeiro, Fernando Reinaldo
dc.contributor.authorMetrôlho, J.C.M.M.
dc.contributor.authorDionísio, Rogério Pais
dc.date.accessioned2024-03-04T12:43:48Z
dc.date.available2024-03-04T12:43:48Z
dc.date.issued2024
dc.description.abstractReducing CO2 emissions is currently a key policy in most developed countries. In this article, we evaluate whether smart traffic lights can have a relevant role in reducing CO2 emissions in small cities, considering their specific traffic profiles. The research method is a quantitative modelling approach tested by computational simulation. We propose a novel microscopic traffic simulation framework, designed to simulate realistic vehicle kinematics and driver behaviour, and accurately estimate CO2 emissions. We also propose and evaluate a routing algorithm for smart traffic lights, specially designed to optimize CO2 emissions at intersections. The simulations reveal that deploying smart traffic lights at a single intersection can reduce CO2 emissions by 32% to 40% in the vicinity of the intersection, depending on the traffic density. The simulations show other advantages for drivers: an increase in average speed of 60% to 101% and a reduction in waiting time of 53% to 95%. These findings can be useful for city-level decision makers who wish to adopt smart technologies to improve traffic flows and reduce CO2 emissions. This work also demonstrates that the simulator can play an important role as a tool to study the impact of smart traffic lights and foster the improvement in smart routing algorithms to reduce CO2 emissions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, O. [et al.] (2024) - Using smart traffic lights to reduce CO2 emissions and improve traffic flow at intersections: simulation of an intersection in a small Portuguese city. Applied System Innovation. 7:(1):3. DOI: https://doi.org/10.3390/asi7010003pt_PT
dc.identifier.doi10.3390/asi7010003pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/8907
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2571-5577/7/1/3pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCO2 emissionspt_PT
dc.subjectSmart traffic lightspt_PT
dc.subjectSmart intersectionspt_PT
dc.subjectCO2 estimationpt_PT
dc.subjectRoad traffic simulationpt_PT
dc.subjectVehicle specific powerpt_PT
dc.subjectConsumption estimationpt_PT
dc.subjectIntelligent traffic lightspt_PT
dc.titleUsing smart traffic lights to reduce CO2 emissions and improve traffic flow at intersections: simulation of an intersection in a small Portuguese citypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage18pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied System Innovationpt_PT
oaire.citation.volume7pt_PT
person.familyNameSantos
person.familyNameReinaldo Silva Garcia Ribeiro
person.familyNameMetrôlho
person.familyNamePAIS DIONÍSIO
person.givenNameOsvaldo
person.givenNameFernando
person.givenNameJosé Carlos
person.givenNameROGÉRIO
person.identifier1688084
person.identifier30skvuAAAAAJ
person.identifier.ciencia-id121D-8892-F723
person.identifier.ciencia-id7B1C-D761-291D
person.identifier.ciencia-id4B17-3AF4-7DD4
person.identifier.ciencia-id2F1A-414F-368B
person.identifier.orcid0000-0003-0341-2839
person.identifier.orcid0000-0002-1225-3844
person.identifier.orcid0000-0002-7327-2109
person.identifier.orcid0000-0002-6810-2447
person.identifier.scopus-author-id6507997502
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa7e25eb4-9ac1-4fcb-b64c-f67555a1397a
relation.isAuthorOfPublication165761b1-f958-4c13-b53f-ef0a4dde1d97
relation.isAuthorOfPublication195ac9ea-6661-4217-addf-ac4bc5225f90
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relation.isAuthorOfPublication.latestForDiscoverya7e25eb4-9ac1-4fcb-b64c-f67555a1397a

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