TY - JOUR
T1 - Development and classification of autonomous vehicle's ambiguous driving scenario
AU - Baby, Tiju
AU - Ippoliti, Hatice Şahin
AU - Wintersberger, Philipp
AU - Zhang, Yiqi
AU - Yoon, Sol Hee
AU - Lee, Jieun
AU - Lee, Seul Chan
N1 - Publisher Copyright:
© 2024
PY - 2024/6
Y1 - 2024/6
N2 - Human drivers are gradually being replaced by highly automated driving systems, and this trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving Scenarios (ADS) is crucial for legal and safety reasons. Our research focuses on establishing a robust framework for developing ADS in autonomous vehicles and classifying them based on AV user perceptions. To achieve this, we conducted extensive literature reviews, in-depth interviews with industry experts, a comprehensive questionnaire survey, and factor analysis. We created 28 diverse ambiguous driving scenarios and examined 548 AV users' perspectives on moral, ethical, legal, utility, and safety aspects. Based on the results, we grouped ADS, with all of them having the highest user perception of safety. We classified these scenarios where autonomous vehicles yield to others as moral, bottleneck scenarios as ethical, cross-over scenarios as legal, and scenarios where vehicles come to a halt as utility-related. Additionally, this study is expected to make a valuable contribution to the field of self-driving cars by presenting new perspectives on policy and algorithm development, aiming to improve the safety and convenience of autonomous driving.
AB - Human drivers are gradually being replaced by highly automated driving systems, and this trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving Scenarios (ADS) is crucial for legal and safety reasons. Our research focuses on establishing a robust framework for developing ADS in autonomous vehicles and classifying them based on AV user perceptions. To achieve this, we conducted extensive literature reviews, in-depth interviews with industry experts, a comprehensive questionnaire survey, and factor analysis. We created 28 diverse ambiguous driving scenarios and examined 548 AV users' perspectives on moral, ethical, legal, utility, and safety aspects. Based on the results, we grouped ADS, with all of them having the highest user perception of safety. We classified these scenarios where autonomous vehicles yield to others as moral, bottleneck scenarios as ethical, cross-over scenarios as legal, and scenarios where vehicles come to a halt as utility-related. Additionally, this study is expected to make a valuable contribution to the field of self-driving cars by presenting new perspectives on policy and algorithm development, aiming to improve the safety and convenience of autonomous driving.
KW - Ambiguous driving scenarios
KW - Automated vehicles
KW - Confirmatory factor analysis
KW - Driving scenarios
KW - Automation
KW - Algorithms
KW - Autonomous Vehicles
KW - Humans
KW - Accidents, Traffic/prevention & control
KW - Automobile Driving
UR - http://www.scopus.com/inward/record.url?scp=85187544124&partnerID=8YFLogxK
U2 - 10.1016/j.aap.2024.107501
DO - 10.1016/j.aap.2024.107501
M3 - Article
C2 - 38471236
AN - SCOPUS:85187544124
SN - 0001-4575
VL - 200
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
M1 - 107501
ER -