Decision making for self‐driving cars is usually tackled by manually encoding rules from
drivers' behaviours or imitating drivers' manipulation using supervised learning techniques …

In order to improve the safety and adaptability of the lane-changing decision process of
autonomous vehicle, a lane-changing decision-making method considering the traffic trend …

The vehicle lane change decision is a greet challenge for autonomous driving in the
dynamic traffic environment. This problem is a sequential decision problem with high …

This article constructs a simplified lane-changing scene model. Frequent lane-changing in
actual driving scenarios will reduce driving safety and comfort. This article uses a gain …

Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic
environments. Numerous automatic LC algorithms have been proposed. This topic …

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 …

Most of the tactic manoeuvres during driving require a certain understanding of the
surrounding environment from which to devise our future behaviour. In this paper, a …

Traffic simulation plays a crucial role in evaluating and improving autonomous driving
planning systems. After being deployed on public roads, autonomous vehicles need to …

The paper presents a simple yet powerful and intelligent driver agent, designed to operate in
a preset highway situation using Policy Gradient Reinforcement Learning (RL) agent. The …

Frequent lane changes during congestion at freeway bottlenecks such as merge and
weaving areas further reduce roadway capacity. The emergence of deep reinforcement …