Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle
automation are believed to revolutionize the form and operation of road transport in the next …

Lane change maneuver of high-speed automated vehicles is complicated, since it involves
highly nonlinear vehicle dynamics, which is critical for the driving safety and handling …

In this paper, we consider the problem of autonomous lane changing for self driving vehicles
in a multi-lane, multi-agent setting. We present a framework that demonstrates a more …

We propose an inverse reinforcement learning (IRL) approach using Deep Q-Networks to
extract the rewards in problems with large state spaces. We evaluate the performance of this …

Vehicle automation technologies open new avenues for improving present transportation
networks. It is predicted that Autonomous vehicles (AVs) and Connected Vehicles (CVs) will …

The field of autonomous driving research has made significant strides toward achieving full
automation, endowing vehicles with self-awareness and independent decision making …

Since vehicles from multiple roads frequently merge at intersections, it formulates a typical
traffic bottleneck of modern transportation systems. Proper vehicle coordination and motion …

Lane change maneuver is a complicated maneuver, and incorrect maneuvering is an
important reason for expressway accidents and fatalities. In this scenario, automated lane …

Planning safe and smooth trajectories for multiple autonomous ground vehicles (MAGVs) in
a complex dynamic unstructured environment is a fundamental and challenging task. In this …