This work presents a Nonlinear Model Predictive Control (NMPC) scheme to perform
evasive maneuvers and avoid rear-end collisions. Rear-end collisions are among the most …

How to reduce traffic accidents and improve vehicle safety has always aroused widespread
concern. Secondary and serial collision accidents can result in more serious hazards as the …

Rear-end collisions result in a large number of casualties and property losses, and the
serious injury risk in multiple impact accidents is much higher than that in single impact …

Autonomous vehicles are equipped with advanced vehicle technology (AVT) that will
improve road traffic safety and reduce accidents. However, due to the uncertain behavior of …

This article presents a post-impact lateral stability control strategy integrated for Four Hub-
Motor Independent-Drive Electric Vehicles (4MIDEV) to address the issue of loss of vehicle …

There is an increasing awareness of the need to reduce traffic accidents and fatality due to
vehicle collision. Post-impact hazards can be more serious as the driver may fail to maintain …

There is a need to radically increase mobility of terrain vehicles through new modalities of
vehicle locomotion, ie, by establishing a new technological paradigm in vehicle dynamics …

Coupled controllers are vital for safely handling vehicles, especially in critical driving
situations that include changing lanes to avoid obstacles. Controllers specialized in …

This paper investigates brake-based path control of a passenger vehicle, aimed at reducing
secondary collision risk, following an initial impact in a traffic accident. This risk may be …

Vehicles involved in traffic accidents generally experience divergent vehicle motion, which
causes severe damage. This paper presents a self-learning drift-control method for the …