Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

Objective The aim of this paper was to synthesize the experimental research on factors that
affect takeover performance during conditionally automated driving. Background For …

摘要随着人工智能, 互联网技术, 通信技术, 计算机技术的快速发展, 以电动化,
智能化及网联化为基础的智能汽车成为汽车行业发展的一大趋势. 按照汽车智能化 …

The drastic changes of the space environment at the tunnel entrance can lead to frequent
accidents with higher levels. The connected vehicle environment provides drivers with …

Automated driving is a developing trend that is coming to the consumer market, and
conditionally automated driving (CAD) is anticipated to become the primary automated …

This study explored the possibility of applying personalized takeover requests (TORs) in an
automated driving system (ADS), which required drivers to regain control when the system …

To reduce the impact of human–machine conflict on vehicle safety, this study proposes a
novel human–machine cooperative steering control approach from the perspective of driver …

In-vehicle human-machine interface (HMI) plays a significant role in accomplishing effective
interactions between driving automation systems and drivers, especially during the transition …

Background Meta studies on factors contributing to take-over performance did not include
the design of take-over request (TOR) signals, other than the modality at which TORs are …

Autonomous driving technology has the potential to significantly reduce the number of traffic
accidents. However, before achieving full automation, drivers still need to take control of the …