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An Edge-Based Framework for Enhanced Road Safety of Connected Cars

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dc.contributor.authorMalinverno, Marco
dc.contributor.authorMangues-Bafalluy, Josep
dc.contributor.authorCasetti, Claudio E.
dc.contributor.authorChiasserini, Carla Fabiana
dc.contributor.authorRequena-Esteso, Manuel
dc.contributor.authorBaranda, Jorge
dc.contributor.funderEuropean Commissiones
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2020-06-01T10:16:39Z
dc.date.available2020-06-01T10:16:39Z
dc.date.issued2020-03-16
dc.description.abstractIn this paper, we present an enhanced Collision Avoidance (eCA) service that leverages vehicle connectivity through a cellular network to avoid vehicle collisions and increase road safety at intersections. The eCA service is assumed to be deployed at the edge of the network, thus curbing the latency incurred by the communication process. The core of the eCA service is composed of a Collision Avoidance Algorithm (CAA), and a Collision Avoidance Strategy (CAS). The former predicts the vehicle's future trajectory through the positional information advertised by periodic beacons and detects if two vehicles are on a collision course. The latter decides which of the vehicles potentially involved in a collision should yield. The vehicles are then notified of both the impending danger and of the actions needed to avoid it. We have simulated our solution using SUMO (Simulation of Urban MObility) and ns-3 (network simulator 3) with the LENA (LTE-EPC Network simulAtor) framework on a Manhattan-grid road topology, and observed its good performance in terms of avoided collisions percentage as a function of vehicle speed and different vehicles densities.es
dc.description.sponsorshipThis work was supported by the EU Commission through the H2020 5G-TRANSFORMER project (Grant No. 761536) and the H2020 5GROWTH project (Grant No. 856709), by the CARS Interdepartmental Lab at Politecnico di Torino, by the Spanish MINECO Grant TEC2017- 88373-R (5G-REFINE), and by the Generalitat de Catalunya Grant 2017 SGR 1195.es
dc.format.extent14es
dc.identifier.bibliographicCitationMalinverno, M., Mangues-Bafalluy, J., Casetti, C., Chiasserini, C.F., Requela-Esteso, M. y Baranda, J. (2020). An Edge-Based Framework for Enhanced Road Safety of Connected Cars. IEEE Access,vol. 8, pp. 58018 - 58031.es
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2020.2980902
dc.identifier.issn2169-3536
dc.identifier.publicationfirstpage58018es
dc.identifier.publicationlastpage58031es
dc.identifier.publicationtitleIEEE Accesses
dc.identifier.publicationvolume8es
dc.identifier.urihttps://hdl.handle.net/10016/30545
dc.language.isoenges
dc.publisherIEEEes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709es
dc.relation.projectIDGobierno de España. TEC2017- 88373-Res
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherAdvanced driver assistance systemses
dc.subject.otherAutomated vehicleses
dc.subject.otherCollision avoidancees
dc.subject.otherEdge computinges
dc.subject.otherIntelligent vehicleses
dc.subject.otherVehicle safetyes
dc.titleAn Edge-Based Framework for Enhanced Road Safety of Connected Carses
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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