The advent of autonomous driving technology offers transformative potential in mitigating
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …

Safely and efficiently completing unprotected left turns at intersections is challenging for both
automated vehicles and human drivers, given that it is hard to predict the intentions of other …

Left turning for autonomous vehicles at intersections is challenging due to the various
driving behaviors from different human drivers and the strong interaction between the …

Understanding how drivers behave at stop-controlled intersection is of critical importance for
the control and management of an urban traffic system. It is also a critical element of …

Accurately predicting driving behavior can help to avoid potential improper maneuvers of
human drivers, thus guaranteeing safe driving for intelligent vehicles. In this paper, we …

Left turns are known to be one of the most dangerous driving maneuvers. 1 An effective way
to mitigate this safety risk is to install a left-turn enforcement---eg, a protected left-turn signal …

It is expected that a mixture of autonomous and manual vehicles will persist as a part of the
intelligent transportation system (ITS) for many decades. Thus, addressing the safety issues …

Driving at an unsignalized roundabout is a complex traffic scenario that requires both traffic
safety and efficiency. At the unsignalized roundabout, the driving policy does not simply …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

The mutual understanding between driver and vehicle is critical to the realization of
intelligent vehicles and customized interaction interface. In this study, a unified driver …