Intelligent‐driving technologies play crucial roles in reducing road‐traffic accidents and
ensuring more convenience while driving. One of the significant challenges in developing …

In the background of autonomous driving at level 3 to level 4, an automated vehicle should
own smarter driving brain to face complicated transportation situations. In order to construct …

Lane change maneuvers, are important contributors to road traffic accidents on highway. In
this paper, we propose a new safe lane change trajectory model and collision avoidance …

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 …

In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …

In order to improve the efficiency and safety of autonomous vehicles' decision-making
process in complex urban scenarios, a decision-making method for hierarchical processing …

Driving risk evaluation is a critical issue in driving safety analysis. In traditional driving risk
evaluation models, vehicles are analyzed as isolated units. Nevertheless, vehicles are …

This article proposed a novel conflict decision model for intelligent vehicles based on game
theory with analyzing the interaction behaviors between vehicles at urban unsignalized …

Turning right at a junction without the aid of traffic signals is a frequent cause of intersection
accidents and a situation that intelligent automobiles will need to handle well in the future …