In the most of previous studies, social interactions between vehicles are not considered
explicitly when designing decision making and motion planning module. Nevertheless, the …

An algorithm of cooperative driving based on model predictive control (MPC) for connected
and automated vehicles (CAVs) at non-signalized intersection is proposed in this paper. The …

Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …

Vehicle automation is a fundamental approach to reduce traffic accidents and driver
workload. However, there is a notable risk of pushing human drivers out of the control loop …

Human-vehicle collaborative driving (HVCD) has a novel concept of an intermediate stage
from the development of a normal smart vehicle to self-driving vehicle, requires the vehicle's …

Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also manage these …

Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …

In this paper, a novel approach of intelligent vehicle to interact and cooperate with other
human driving vehicles is proposed at the freeway entrance ramp scenario. The system …

When faced with an emergency, drivers of human-machine shared driving are prone to
unconsciously generate excessive control, collision avoidance and stability maintenance …

A core issue of safe human-machine cooperative driving lies in dynamic assessment of the
rapidly evolving driving risks. Given that, this paper proposes a shared controller for safe …