Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30867
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dc.contributor.authorOutay, Fatma-
dc.contributor.authorBargaoui, Hichem-
dc.contributor.authorChemek, Anouar-
dc.contributor.authorKamoun, Faouzi-
dc.contributor.authorYASAR, Ansar-
dc.date.accessioned2020-03-23T10:32:14Z-
dc.date.available2020-03-23T10:32:14Z-
dc.date.issued2019-
dc.date.submitted2020-03-20T14:13:39Z-
dc.identifier.citationProcedia Computer Science, 160, p. 473 -478-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/30867-
dc.description.abstractSystems capable of warning motorists against hazardous driving conditions are extremely useful for next-generation cooperative situational awareness and collision avoidance systems. In this paper, we present some preliminary results related to the COVCRAV project which aims to develop an on-board Road Hazard Signaling (RHS) system based on a crowd-apprising model. Unlike other approaches that rely on the automatic detection of dangerous situations via onboard sensors or warning messages received from roadside units, our approach enables drivers to interact directly with a touchscreen Driver Vehicle Interface (DVI) to notify nearby vehicles about the presence of a hazardous driving situation based on many high -value safety use-cases. We describe our RHS application and highlight the key functions provided by the originating and the receiving ITS applications. We also provide some details regarding the design aspects and system architecture of the proposed system. 2019 The Authors. Published by Elsevier B.V.-
dc.description.sponsorshipThis research project is financially supported by Zayed University under the Cluster Research Grant #R17075.-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.-
dc.subject.otherIntelligent transportation systems-
dc.subject.otherroad hazard signaling-
dc.subject.othercrowd -apprising-
dc.subject.otherV2V applications-
dc.subject.otherroad safety-
dc.subject.othercooperative systems-
dc.titleThe COVCRAV project: Architecture and design of a cooperative V2V crash avoidance system-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateNOV 04-07, 2019-
local.bibliographicCitation.conferencename10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) / 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH)-
local.bibliographicCitation.conferenceplaceCoimbra, PORTUGAL-
dc.identifier.epage478-
dc.identifier.spage473-
dc.identifier.volume160-
local.format.pages6-
local.bibliographicCitation.jcatC1-
dc.description.notesKamoun, F (reprint author), ESPRIT Sch Engn, ZI Chotrana 2,POB 160, Tunis, Tunisia.-
dc.description.notesfaouzi.kammoun@esprit.tn-
dc.description.otherKamoun, F (reprint author), ESPRIT Sch Engn, ZI Chotrana 2,POB 160, Tunis, Tunisia. faouzi.kammoun@esprit.tn-
local.publisher.placeSARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr160-
dc.source.typeMeeting-
dc.identifier.doi10.1016/j.procs.2019.11.062-
dc.identifier.isiWOS:000515510100063-
dc.identifier.eissn-
local.provider.typewosris-
local.uhasselt.uhpubyes-
item.fulltextWith Fulltext-
item.fullcitationOutay, Fatma; Bargaoui, Hichem; Chemek, Anouar; Kamoun, Faouzi & YASAR, Ansar (2019) The COVCRAV project: Architecture and design of a cooperative V2V crash avoidance system. In: Procedia Computer Science, 160, p. 473 -478.-
item.contributorOutay, Fatma-
item.contributorBargaoui, Hichem-
item.contributorChemek, Anouar-
item.contributorKamoun, Faouzi-
item.contributorYASAR, Ansar-
item.accessRightsOpen Access-
item.validationecoom 2021-
crisitem.journal.issn1877-0509-
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