Version 1
: Received: 17 January 2024 / Approved: 18 January 2024 / Online: 19 January 2024 (02:55:32 CET)
How to cite:
Bendahmane, M.; Ribas-Xirgo, L. Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios. Preprints2024, 2024011435. https://doi.org/10.20944/preprints202401.1435.v1
Bendahmane, M.; Ribas-Xirgo, L. Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios. Preprints 2024, 2024011435. https://doi.org/10.20944/preprints202401.1435.v1
Bendahmane, M.; Ribas-Xirgo, L. Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios. Preprints2024, 2024011435. https://doi.org/10.20944/preprints202401.1435.v1
APA Style
Bendahmane, M., & Ribas-Xirgo, L. (2024). Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios. Preprints. https://doi.org/10.20944/preprints202401.1435.v1
Chicago/Turabian Style
Bendahmane, M. and Lluís Ribas-Xirgo. 2024 "Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios" Preprints. https://doi.org/10.20944/preprints202401.1435.v1
Abstract
Driver’s distractions are more prone to occur with automated driving vehicles, which might turn into cancelling some of their advantages. Traffic reports, naturalistic observations and in-lab tests are carried out to determine the influence of driver’s distractions in car crashes and to develop technology to detect and prevent them from happening. One of the best strategies to cope with this problem is education. In this work we propose a simulation environment to design laboratory experiments to study driver’s distractions as well as simple games to train drivers to take over the control of the vehicle when required. The result framework enables drivers to experience driving highly automated cars in their neighborhoods or in places of their choice with different levels of events to check their ability in taking over the control when required.
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
