TY - GEN
T1 - Risk scenario designs for driving simulator experiments
AU - Amini, Roja Ezzati
AU - Michelaraki, Eva
AU - Katrakazas, Christos
AU - Al Haddad, Christelle
AU - de Vos, Bart
AU - Cuenen, Ariane
AU - Yannis, George
AU - Brijs, Tom
AU - Antoniou, Constantinos
N1 - Publisher Copyright:
© 2021 European Union.
PY - 2021/6/16
Y1 - 2021/6/16
N2 - 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 driver-state 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.
AB - 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 driver-state 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.
KW - Adverse weather conditions
KW - Distraction
KW - Driving simulator
KW - Illegal overtaking
KW - Scenario design
KW - Tailgating
KW - VRU collision
UR - http://www.scopus.com/inward/record.url?scp=85115822179&partnerID=8YFLogxK
U2 - 10.1109/MT-ITS49943.2021.9529268
DO - 10.1109/MT-ITS49943.2021.9529268
M3 - Conference contribution
AN - SCOPUS:85115822179
T3 - 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
BT - 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
Y2 - 16 June 2021 through 17 June 2021
ER -