@inproceedings{482d1513bd3247cc82391e09c730260a,
title = "Safe Driving Behavior Model Construction for L2 and L3 Automated Driving",
abstract = "The arrival of Level 2 (L2) and Level 3 (L3) of automated driving places new demands on driving behavior, yet drivers who have been accustomed to manual driving do not seem to be adequately prepared. Therefore, to improve driving safety, this study proposes an integrated approach to establishing a safe driving behavior model by combining Hierarchical Task Analysis and Information Decision Action model. Initially, 11 key driving scenarios at the L2 and L3 levels were identified through literature review; Five automated driving experts were invited to grade the importance of the scenarios through the Analytic Hierarchy Process. Additionally, their safety recommendations for each scenario at the L2 and L3 levels were analyzed. Finally, a model of drivers' safe behavior under L2 and L3 conditions was constructed accordingly. The results of this study can not only guide the cultivation of drivers' driving habits, but also provide test scenarios with human-machine co-driving perspectives for the development of automated driving.",
keywords = "Automated driving, Driving behavior, Transdisciplinary engineering, Transportation safety",
author = "Yiteng Sun and Fan Li and Danni Chang and Lee, \{Ching Hung\} and Su Han and Chen, \{Chun Hsien\}",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 31st ISTE International Conference on Transdisciplinary Engineering, TE 2024 ; Conference date: 09-07-2024 Through 11-07-2024",
year = "2024",
doi = "10.3233/ATDE240842",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "43--51",
editor = "Adam Cooper and Federico Trigos and Josip Stjepandic and Richard Curran and Irina Lazar",
booktitle = "Engineering For Social Change - Proceedings of the 31st ISTE International Conference on Transdisciplinary Engineering",
}