Understanding behavior of human drivers in interactions with automated vehicles (AV) can
aid the development of future AVs. Existing investigations of such behavior have …

As drivers' expectations guide their perception and behavior, violated expectations can lead
to mistakes and discomfort. In this work, the role of expectations regarding drivers' reactions …

Narrow passage interactions have received increased attention from academics seeking to
create behavioural models of the interaction and those looking to define how autonomous …

In urban areas, drivers often have difficulty detecting pedestrians who want to cross the
street but are obstructed by parked vehicles. Highly automated vehicles (HAVs, SAE Level …

With the emergence of automated vehicles (AVs), drivers' understanding and expectations of
AVs are crucial in their interaction decisions and actions. In a multi-agent driving simulator …

Human drivers and machine drivers (ie, automated vehicles or AVs) will share roads and
interact with each other, creating mixed traffic. In this perspective, we develop two mental …

When a cyclist's path intersects with that of a motorized vehicle at an unsignalized
intersection, serious conflicts may happen. In recent years, the number of cyclist fatalities in …

Automated vehicles will soon be integrated into our current traffic system. This development
will lead to a novel mixed-traffic environment where connected and automated vehicles …

Lack of communication between road users can reduce traffic efficiency and cause safety
issues like traffic accidents. Researchers are exploring how intelligent vehicles should …

In urban environments, automated driving offers the opportunity to improve traffic flow,
heighten user comfort and also increase traffic safety for vulnerable road users. To realize …