As more and more autonomous vehicles (AVs) are being deployed on public roads,
designing socially compatible behaviors for them is becoming increasingly important. In …

The emerging development of connected and automated vehicles imposes a significant
challenge on current vehicle control and transportation systems. This paper proposes a …

Facts proved that obeying traffic laws keeps the promise to promote the safety of self-driving
vehicles. Current self-driving vehicles usually have fixed algorithms during autonomous …

The development of intelligent driving technologies is expected to have the potential in
energy economics. Some reported studies mainly focused on the economical driving …

The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …

Autonomous vehicles need to perform social accepted behaviors in complex urban
scenarios including human‐driven vehicles with uncertain intentions. This leads to many …

In this study, a decision-making and motion planning controller with continuous action space
is constructed in the highway driving scenario based on deep reinforcement learning. In the …

The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the
demand for efficient transportation management systems is a rising need due to the …

Complex, dynamic, and interactive environment brings huge challenges to autonomous
driving technologies. Because of the strong interactions between different traffic participants …

Recent advancements in Intelligent Transportation Systems suggest that the roads will
gradually be filled with autonomous vehicles that are able to drive themselves while …