Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36038
Title: Risk scenario designs for driving simulator experiments
Authors: Amini, Roja Ezzati
Michelaraki, Eva
Katrakazas, Christos
Al Haddad, Christelle
DE VOS, Bart 
CUENEN, Ariane 
Yannis, George
BRIJS, Tom 
Antoniou, Constantinos
Issue Date: 2021
Publisher: IEEE
Source: 2021 7Th International Conference on Models and Technologies for Intelligent Transportation System (MT-ITS), IEEE
Abstract: Driving 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.
Notes: Amini, RE (corresponding author), Tech Univ Munich, Chair Transportat Syst Engn, Munich, Germany.
roja.ezzati@tum.de; evamich@mail.ntua.gr; ckatrakazas@mail.ntua.gr;
christelle.haddad@tum.de; bart.devos@drivesimsolution.com;
ariane.cuenen@uhasselt.be; geyannis@central.ntua.gr;
tom.brijs@uhasselt.be; c.abtoniou@tum.de
Keywords: Driving simulator;scenario design;tailgating;illegal overtaking;VRU collision;distraction;adverse weather conditions
Document URI: http://hdl.handle.net/1942/36038
ISBN: 978-1-7281-8995-6
DOI: 10.1109/MT-ITS49943.2021.9529268
ISI #: WOS:000706846900007
Rights: 2021 European Union
Category: C1
Type: Proceedings Paper
Validations: ecoom 2022
Appears in Collections:Research publications

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