Assessing drivers' behavior after transition from automated to manual driving (referred as to
take-over condition) in highly automated vehicles (SAE Level 4) is a widely studied area …

Abstract Automated Commercial Motor Vehicles (CMVs) have the potential to reduce the
occurrence of crashes, enhance traffic flow, and reduce the stress of driving to a larger …

Automated Vehicle (AV) technology has the potential to significantly improve driver safety.
Unfortunately, drivers could be reluctant to ride with AVs due to their lack of trust and …

Purpose-This paper aims to explore whether drivers would adapt their behavior when they
drive among automated vehicles (AVs) compared to driving among manually driven vehicles …

This study investigates the impacts of road traffic conditions and driver's characteristics on
the takeover time in automated vehicles using a driving simulator. Automated vehicles are …

Research on the influence of age on various automated driving conditions will contribute to
an understanding of driving behavior characteristics and the development of specific …

Enabling highly automated driving is a long lasting endeavor in traffic research. Whereas
technical solutions have been tested for more than 20 years, psychological effects of highly …

The conversion between automated and manual driving is currently an inevitable topic for
automated vehicles. Firstly, from the concepts, types, and key issues of driving mode …

The objective of this study was to assess the effects of unreliable automation, non-driving
related tasks (NDRTs), and takeover time budget (TOTB) on drivers' takeover performance …

Drivers' take-over intention is important for the design of the automated driving systems and
affects the safety of automated driving. This study explored the influence factors on drivers' …