Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …

Traffic crashes, heavy congestion, and discomfort often occur on rough pavements due to
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …

As known to all, it is a challenging task to solve the delay of a controllable suspension
system under the transient road. Thus, how to e ectively and low-costly acquire road …

By simultaneously utilizing preview and global road information, a comfort optimization
strategy which combines vehicle speed planning and preview semi-active suspension …

The performance of vehicle body vibration and ride comfort of active or semi-active
suspension with proper control is better than that with passive suspension. The key to …

Among the controllable suspension systems, the control of the semi-active suspension is
mostly based on optimal control. Recently, deep reinforcement learning is widely used as a …

Advanced deep reinforcement learning shows promise as an approach to addressing
continuous control tasks, especially in mixed-autonomy traffic. In this study, we present a …

The implementation of autonomous driving is inseparable from developing intelligent driving
decision-making models, which are facing high scene complexity, poor decision-making …

Automated vehicles (AVs) are deemed to be the key element for the intelligent transportation
system in the future. Many studies have been made to improve AVs' ability of environment …