Learning from human driver's strategies for solving complex and potentially dangerous
situations including interaction with other road users has the potential to improve decision …

To ensure safe and efficient deployment in real world, autonomous vehicles (AVs) need to
deal with complex interactions. This study deduced the rudiment of a meta decision-making …

To address the coordination issue of connected automated vehicles (CAVs) at urban
scenarios, a game-theoretic decision-making framework is proposed that can advance …

This paper presents a hierarchical and game-theoretic decision-making strategy for
connected and automated vehicles (CAVs). A CAV can receive preview information using …

In order to resolve the driving conflict and improve the safety and efficiency of autonomous
vehicles at unsignalized intersections, a new decision-making method based on game …

To address the driving conflicts of connected automated vehicles (CAVs) at unsignalized
roundabouts, a cooperative decision-making framework is proposed. The personalized …

Surrogate safety measures in the form of conflict indicators are indispensable components of
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …

Autonomous vehicles (AVs) are widely believed to be good for improving transportation
safety and efficiency. However, recent fatal accidents by some of their prototypes remind us …

Connected and automated vehicles (CAVs) are expected to play a vital role in the next-
generation intelligent transportation system. In recent years, researchers have proposed …

Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …