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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 SYSTEMS (MT-ITS), IEEE, p. 1 -6 | 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 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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