Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

With rapid advances in the field of autonomous vehicles (AVs), the ways in which human–
vehicle interaction (HVI) will take place inside the vehicle have attracted major interest and …

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …

Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …

Object detection is an important task for self-driving vehicles or advanced driver assistant
systems (ADASs). Additionally, visual selective attention is a crucial neural mechanism in a …

The traffic driving environment is a complex and dynamic changing scene in which drivers
have to pay close attention to salient and important targets or regions for safe driving …