The development of artificial intelligence has led researchers to study the ethical principles
that should guide machine behavior. The challenge in building machine morality based on …

Intersection scenarios are one of the most complex and high-risk traffic scenarios. Therefore,
it is important to propose a vehicle driving decision algorithm for intersection scenarios. Most …

The proposed study aims to address the complexities resulting from the mixing of manually
driven and autonomous vehicles. First, the complexity of the driving situation was defined to …

The paper investigates a novel modeling and quantitative assessment approach for
environment complexity of autonomous vehicles (AVs), whose purpose is to establish a …

As one of the core functions of the autonomous driving of vehicles under special roads, the
intelligent barrier avoidance function plays an important role in improving traffic efficiency …

Autonomous vehicles (AVs) promise to make traffic safer, but their societal integration poses
ethical challenges. What behavior of AVs is morally acceptable in critical traffic situations …

The autonomous driving is increasingly mounting, promoting, and promising the future of
fully autonomous and, correspondingly presenting new challenges in the field of safety …

The introduction of autonomous vehicles (AVs) in the road transportation systems raises
questions with respect to their interactions with human drivers', especially during the early …

Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …

This letter presents an approach for implementing game-theoretic decision-making in
combination with deep reinforcement learning to allow vehicles to make decisions at an …