Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36038
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAmini, Roja Ezzati-
dc.contributor.authorMichelaraki, Eva-
dc.contributor.authorKatrakazas, Christos-
dc.contributor.authorAl Haddad, Christelle-
dc.contributor.authorDE VOS, Bart-
dc.contributor.authorCUENEN, Ariane-
dc.contributor.authorYannis, George-
dc.contributor.authorBRIJS, Tom-
dc.contributor.authorAntoniou, Constantinos-
dc.date.accessioned2021-12-05T17:08:28Z-
dc.date.available2021-12-05T17:08:28Z-
dc.date.issued2021-
dc.date.submitted2021-11-23T16:23:39Z-
dc.identifier.citation2021 7TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), IEEE, p. 1 -6-
dc.identifier.isbn978-1-7281-8995-6-
dc.identifier.urihttp://hdl.handle.net/1942/36038-
dc.description.abstractDriving simulators have become widely used tools for examining the impact of driver behaviour with respect to individual driver differences or road layout by offering a safe, realistic, and controlled environment. In this research, a driving simulator experimental design is provided for testing the main risk factors defined within the i-DREAMS project. The overall objective is a detailed description of the risk scenarios for car drivers which were designed for three risk factors [i.e., tailgating, illegal overtaking, collisions with vulnerable road users (VRUs)] and two additional conditions [i.e., driver distraction and adverse weather conditions]. Accordingly, three different scenarios were designed: 1) drive-1: monitoring scenario with no intervention, 2) drive-2: scenario with driver-state independent intervention, 3) drive-3: scenario with driverstate dependent intervention. Proposed real-time interventions aim to investigate dynamic thresholds (variable-timing thresholds) that can be adapted based on scenario conditions (distraction, weather). Developed scenarios will be tested to assess the performance of the i-DREAMS system in developing a safety tolerance zone for monitoring and intervention.-
dc.description.sponsorshipEuropean Union - European Commission under Research and Innovation Action (RIA) [814761, MG-2-1-2018]-
dc.language.isoen-
dc.publisherIEEE-
dc.subject.otherDriving simulator; scenario design; tailgating; illegal overtaking; VRU-
dc.subject.othercollision; distraction; adverse weather conditions-
dc.titleRisk scenario designs for driving simulator experiments-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateJUN 16-17, 2021-
local.bibliographicCitation.conferencename7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)-
local.bibliographicCitation.conferenceplaceHeraklion, GREECE-
dc.identifier.epage6-
dc.identifier.spage1-
local.format.pages6-
local.bibliographicCitation.jcatC1-
dc.description.notesAmini, RE (corresponding author), Tech Univ Munich, Chair Transportat Syst Engn, Munich, Germany.-
dc.description.notesroja.ezzati@tum.de; evamich@mail.ntua.gr; ckatrakazas@mail.ntua.gr;-
dc.description.noteschristelle.haddad@tum.de; bart.devos@drivesimsolution.com;-
dc.description.notesariane.cuenen@uhasselt.be; geyannis@central.ntua.gr;-
dc.description.notestom.brijs@uhasselt.be; c.abtoniou@tum.de-
local.publisher.place345 E 47TH ST, NEW YORK, NY 10017 USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1109/MT-ITS49943.2021.9529268-
dc.identifier.isiWOS:000706846900007-
dc.contributor.orcidYannis, George/0000-0002-2196-2335-
local.provider.typewosris-
local.bibliographicCitation.btitle2021 7TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS)-
local.uhasselt.uhpubyes-
local.description.affiliation[Amini, Roja Ezzati; Al Haddad, Christelle; Antoniou, Constantinos] Tech Univ Munich, Chair Transportat Syst Engn, Munich, Germany.-
local.description.affiliation[Michelaraki, Eva; Katrakazas, Christos; Yannis, George] Natl Tech Univ Athens, Dept Transportat Planning & Engn, Athens, Greece.-
local.description.affiliation[De Vos, Bart] DriveSimSolutions, Diepenbeek, Belgium.-
local.description.affiliation[Cuenen, Ariane; Brij, Tom] UHasselt, Transportat Res Inst, Schoolfor Transportat Sci, Diepenbeek, Belgium.-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.contributorAmini, Roja Ezzati-
item.contributorMichelaraki, Eva-
item.contributorKatrakazas, Christos-
item.contributorAl Haddad, Christelle-
item.contributorDE VOS, Bart-
item.contributorCUENEN, Ariane-
item.contributorYannis, George-
item.contributorBRIJS, Tom-
item.contributorAntoniou, Constantinos-
item.accessRightsClosed Access-
item.fullcitationAmini, Roja Ezzati; Michelaraki, Eva; Katrakazas, Christos; Al Haddad, Christelle; DE VOS, Bart; CUENEN, Ariane; Yannis, George; BRIJS, Tom & Antoniou, Constantinos (2021) Risk scenario designs for driving simulator experiments. In: 2021 7TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), IEEE, p. 1 -6.-
item.fulltextNo Fulltext-
Appears in Collections:Research publications
Show simple item record

Page view(s)

42
checked on Jul 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.