Left turning for autonomous vehicles at intersections is challenging due to the various
driving behaviors from different human drivers and the strong interaction between the …

The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

Highly automated and fully autonomous vehicles are much more likely to be accepted if they
react in the same way as human drivers do, especially in a hybrid traffic situation, which …

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

By aiming at addressing the left-turning problem of an autonomous vehicle considering the
oncoming vehicles at an urban unsignallized intersection, a hierarchical reinforcement …

Safely and efficiently completing unprotected left turns at intersections is challenging for both
automated vehicles and human drivers, given that it is hard to predict the intentions of other …

The advent of autonomous driving technology offers transformative potential in mitigating
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …

With the development of vehicle-to-infrastructure and vehicle-to-vehicle technologies,
vehicles will be able to communicate with the controller at the intersection. Autonomous …

With the development of autonomous driving, future traffic will be composed of various
participants. Integrating autonomous vehicles into the traffic flow composed of various types …

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 …