TY - GEN
T1 - Investigating the Impact of Driving Style on the Take-Over Performance in Level 3 Automation
AU - Chen, Facheng
AU - Lu, Guangquan
AU - Zhai, Junda
AU - Tan, Haitian
N1 - Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - Various daily driving habits and styles may be the reason why drivers show individual differences when taking over. The purpose of this paper is to investigate the impact of driving style on take-over performance in Level 3 automation. The simulator experiments in this study consisted of two parts: a manual car-following experiment and an automated driving take-over experiment. In the manual car-following experiment, researchers used the data of maximum braking deceleration, and maximum acceleration to classify 20 participants into two driving types (12 normal drivers, 8 aggressive drivers). Then the automated driving take-over experiment was conducted to investigate the influence of driving styles (normal, aggressive) on take-over performance in different take-over time budgets (7 and 5 s) and in combination with a visual secondary task. The researchers found that normal drivers took a significant severer brake than aggressive drivers only in the condition of 5 s take-over time budget + SuRT (i.e., the most urgent of all conditions). In addition, the driving style had no significant influences on take-over time, minimum TTC, and maximum lateral acceleration. Results indicate that normal drivers' good habits do not make their take-over performance better, while the experience of aggressive drivers in manual emergency driving makes their emergency evasive maneuvers more stable in automated take-over.
AB - Various daily driving habits and styles may be the reason why drivers show individual differences when taking over. The purpose of this paper is to investigate the impact of driving style on take-over performance in Level 3 automation. The simulator experiments in this study consisted of two parts: a manual car-following experiment and an automated driving take-over experiment. In the manual car-following experiment, researchers used the data of maximum braking deceleration, and maximum acceleration to classify 20 participants into two driving types (12 normal drivers, 8 aggressive drivers). Then the automated driving take-over experiment was conducted to investigate the influence of driving styles (normal, aggressive) on take-over performance in different take-over time budgets (7 and 5 s) and in combination with a visual secondary task. The researchers found that normal drivers took a significant severer brake than aggressive drivers only in the condition of 5 s take-over time budget + SuRT (i.e., the most urgent of all conditions). In addition, the driving style had no significant influences on take-over time, minimum TTC, and maximum lateral acceleration. Results indicate that normal drivers' good habits do not make their take-over performance better, while the experience of aggressive drivers in manual emergency driving makes their emergency evasive maneuvers more stable in automated take-over.
UR - https://www.scopus.com/pages/publications/85091584970
M3 - 会议稿件
AN - SCOPUS:85091584970
T3 - International Conference on Transportation and Development 2020: Transportation Safety - Selected Papers from the International Conference on Transportation and Development 2020
SP - 146
EP - 156
BT - International Conference on Transportation and Development 2020
A2 - Zhang, Guohui
PB - American Society of Civil Engineers (ASCE)
T2 - International Conference on Transportation and Development 2020: Transportation Safety, ICTD 2020
Y2 - 26 May 2020 through 29 May 2020
ER -