End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …

Collective movement simulations are challenging and important in many areas, including life
science, mathematics, physics, information science and public safety. In this survey, we …

In the era of rapid advancements in intelligent transportation, utilizing vehicle operating data
to evaluate the risk of freeway vehicles and study on vehicle early warning methods not only …

As robots are spreading in diverse environments, new collision avoidance challenges arise.
Real world collision avoidance often includes dynamic, complex, unstructured and uncertain …

Current research on lane-changing trajectory planning typically focuses on the benefits of
the Subject Vehicle (SV), including factors such as lane-changing efficiency, comfort, and …

Driving strategy in dynamic environment is crucial to the automated vehicle safety. In
extremely emergency scenarios with unavoidable collision (UC), especially those with …

Objective Vehicle active safety systems can improve vehicle security by avoiding collisions.
An autonomous emergency braking (AEB) system's safety distance calculation is usually …

Automated Vehicle Path Following Control (PFC) is an advanced control system that can
regulate the vehicle into a collision-free region in the presence of other objects on the road …

In the dense fabric of urban areas, electric scooters have rapidly become a preferred mode
of transportation. As they cater to modern mobility demands, they present significant safety …

Automated Vehicle Path Following Control (PFC) is an advanced control system that can
regulate the vehicle into a collision-free region in the presence of other objects on the road …