To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

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 novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

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

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Interactive decision-making between multiple automated vehicles under unsigned
intersections is a high-level dynamic decision-making scenario, greatly increasing the …

Connected automated vehicles (CAVs) have been currently considered as promising
solutions for realization of envisioned autonomous traffic management systems in the future …

Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …

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 …