Autonomous vehicle technology is shaping the future of road transportation. This technology
promises safer, greener, and more efficient means of transportation for everyone …

The unprotected left turn of a connected automated vehicle (CAV) is investigated when it has
a potential conflict with a connected human-driven vehicle (CHV) approaching in the …

Autonomous vehicles need to face human-driving vehicles with their uncertain intentions in
dynamic urban environment. Thus it leads to a challenging decision-making problem. In this …

As drivers approach a road intersection, they must decide whether to cross it or to come to a
stop. For this purpose, drivers make a situation assessment and adapt their behaviour …

Modeling the interactions among vehicles has been considered essential in improving
efficiency and safety in autonomous driving, since the real traffic scenarios, such as merging …

Decisions of entering into a roundabout or stop before are multi-criterial situations that are
complex for both human drivers and for the self-driving vehicles as well. Complexity of the …

Coordination abilities are required for artificial agents with a high level of autonomy (also
called autonomy agents) to perform collaborative work with humans in human-autonomy …

Extensive research has been done in the field of automated driving systems to reliably and
accurately predict the motion of surrounding vehicles. Predicted occupancy regions are a …

The rapid development of robotics technologies has aided the growth of a variety of
industries. This includes the mobile industry, which relied on drivers even until now. The …

We study the problem of analyzing the effects of inconsistencies in perception, intent
prediction, and decision making among interacting agents. When accounting for these …