Driver's driving style and driving skill have an essential influence on traffic safety, capacity,
and efficiency. Through clustering algorithms, extensive studies explore the risk assessment …

The emergence of highly automated driving technology provides safe and convenient travel
while also causing user inadaptation. Therefore, based on human factors engineering, it is …

Existing studies identified targeted audiences showing increases in Automated Vehicles
(AV) acceptance after experiencing automated driving. However, there is still uncertainty …

Autonomous vehicles (AVs) will bring considerable benefits to individuals and society, while
the process of AVs' popularity may not always be smooth. Sometimes crashes are …

Objective This study investigated drivers' subjective feelings and decision making in mixed
traffic by quantifying driver's driving style and type of interaction. Background Human-driven …

Building initial trust is critical for the acceptance of shared autonomous vehicles (SAVs).
Initial trust determines whether this emerging mobility solution will be accepted when it is …

As automated driving technology continues to advance, the question of how users prefer to
be driven in their new, more passive role is becoming increasingly relevant. In this paper, a …

Studies investigating the question of how automated cars (ACs) should drive converge to
show that a personalized automated driving-style, ie, mimicking the driving-style of the …

Objective This study explores subjective and objective driving style similarity to identify how
similarity can be used to develop driver-compatible vehicle automation. Background …

Objective This study aimed to investigate the impact of automated vehicle (AV) interaction
mode on drivers' trust and preferred driving styles in response to pedestrian-and traffic …