Driving an automobile under high stress level reduces driver's control on vehicle and risk-
assessment capabilities, often resulting in road accidents. Driver's anxiety therefore is a key …

Deep reinforcement learning (RL) has been widely studied in traffic signal control. Despite
the promising results that indicate the superiority of deep RL in terms of the quality of …

Drivers apply brakes to reduce the speed of a vehicle based on the perceived risk while
approaching a certain event. Inadequate or excessive braking can lead to serious …

In this study, we compare haptic feedback and nonhaptic feedback conditions in which
virtual characters bump into the participant who is immersed in a virtual environment. A …

Electric vehicles are becoming a more popular form of transportation, however their limited
range has proven problematic. Battery-exchange stations allow the vehicles to swap …

Delivery riders (usually e-bike riders employed in the delivery industry), an emerging
occupation as a result of the booming of online commerce in China, have attracted social …

Speeding greatly attributes to traffic safety with approximately a third of fatal crashes in the
United States being speeding-related. Previous research has identified being late as a …

The current study focused on analyzing steering control of the drivers during a car-following
situation under increasing time pressure conditions. A driving simulator experiment was …

Driver anger is an important individual difference variable that has been investigated
extensively for understanding driving outcomes. The Driving Anger Expression Inventory …

The research conducted on overtaking maneuver for evaluating drivers' safety showed
adverse effects of urgency on driving performance and decision making. Therefore, a driving …