This paper proposes a lateral control strategy for autonomous vehicles (AVs) and develops
an evolutionary learning framework for off-ramps. Random forest (RF) and back-propagation …

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with
human-driven vehicles (HDVs), which render uncertain driving behavior due to varying …

Connected automated vehicles (CAVs) rely heavily on intelligent algorithms and remote
sensors. If the control center or on-board sensors are under cyber-attack due to the security …

Discretionary lane-change is one of the critical challenges for autonomous vehicle (AV)
design due to its significant impact on traffic efficiency. Existing intelligent lane-change …

An essential aspect of intelligent driving systems is the automatic lane-changing function.
However, in real-world traffic situations, the initially planned lane-changing trajectory can …

Lateral lane-changing and longitudinal car-following behavior decision-making is crucial for
the implementation of autonomous driving (AD) in complex and dynamic traffic environment …

Connected and automated vehicles (CAVs) have become one of the essential approaches
to effectively resolve problems such as traffic safety, road congestion, and energy …

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic
safety and efficiency, contributing significantly to modern transportation. The integration of …

As autonomous driving technology continues to advance and gradually become a reality,
ensuring the safety of autonomous driving in complex traffic scenarios has become a key …

Ensuring safety for vehicle overtaking systems is one of the most fundamental and
challenging tasks in autonomous driving. This task is particularly intricate when the vehicle …