With the development of self-driving technology, the fundamental behaviors like car-
following, lane change have been validated and tested in various kinds of scenarios …

It is essential for autonomous driving cars to understand and predict other surrounding cars'
behaviors, especially in urban environments, due to the high traffic volumes and complex …

In the future transportation, it is a foreseeable trend that human-driven vehicles and
autonomous vehicles will coexist and interact on roads for a long time. How to integrate …

To achieve complete autonomous vehicles, it is crucial for autonomous vehicles to
communicate and interact with their surrounding vehicles. Especially, since the lane change …

With the consideration of personalized driving for automated vehicles (AVs), this paper
presents a human-like decision making framework for AVs. In the modelling process, the …

Autonomous vehicles are expected to display human-like behavior, at least to the extent that
their decisions can be intuitively understood by other road users. If this is not the case, the …

In this work, I consider the development of a driver model to better understand human
drivers' various behaviors in the upcoming mixed situation of human drivers and …

This paper presents the lane-merging strategy for self-driving cars in dense traffic using the
Stackelberg game approach. From the perspective of the self-driving car, in order to make …

This paper presents an approach for implementing game theoretic decision making in
combination with realistic sensory data input so as to allow an autonomous vehicle to …

The abilities to understand the social interaction behaviors between a vehicle and its
surroundings while predicting its trajectory in an urban environment are critical for road …