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 …

Driving safety is quite significant for human drivers, especially in the emergencies and
extreme conditions. To advance the active safety of vehicles, a cooperative control …

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

Lane changes in multi‐vehicle driving environments are one of the most challenging
manoeuvres for autonomous vehicles. The key innovation of this study is to develop an …

Linear quadratic (LQ) game has been widely used in shared driving to resolve conflicts
between drivers and driving automation systems (DAS). However, the system model in LQ …

This paper investigates the trajectory tracking control of independently actuated autonomous
vehicles after the first impact, aiming to mitigate the secondary collision probability. An …

With the consideration of personalized driving for automated vehicles (AVs), this paper
presents a human-like decision making framework for AVs. In the modelling process, the …

To address the safety and efficient driving issues of human–machine shared control vehicles
(HSCVs) in future complex traffic environments, this paper proposes a game theory-based …

High-speed cruising scenarios with mixed traffic greatly challenge the road safety of
autonomous vehicles (AVs). Unlike existing works that only look at fundamental modules in …

There are great challenges in the driving of human–machine shared control vehicles
(HSCVs) in uncertain environments. Aiming at solving the collision avoidance problem of …