Su, Yizi (Tsinghua University), Li, Qingkun (Chinese Academy of Sciences), Wang, Zhenyuan (Tsinghua University), Wang, Wenjun (Tsinghua University)

Driving with Automation: The Impacts on Road Safety and Driving Comfort Moderated by Multiple Factors in Hazardous Scenarios

Scheduled for presentation during the Invited Session "Towards Human-Inspired Interactive Autonomous Driving I" (ThAT2), Thursday, September 26, 2024, 11:10−11:30, Salon 5

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

Although automated driving technology is highly developed, there still needs to be more systematic research into its practical impact on road safety and comfort. To this end, this study conducted a driving simulation experiment based on multiple hazardous urban road scenarios. First, we compared the differences in drivers' eye movements, heart rate variability, and subjective ratings between partially automated and manual driving. Then, we explored the factors affecting driving safety and comfort in automated vehicles. Our results showed that drivers had a higher workload and a greater desire to monitor the surrounding traffic when using partially automated driving systems. Moreover, drivers' individual characteristics (e.g., initial trust and driving experience), scenario difficulty, and the experience of system failure significantly moderate the effects of driving modes on road safety and driving comfort. This study provides a basis for understanding automated vehicles' impact on road safety and driving comfort.