Traffic accident avoidance and mitigation are the main targets of accident research and
vehicle safety development worldwide. Despite improving advanced driver assistance …

Effective prediction of turning movement counts at intersections through efficient and
accurate methods is essential and needed for various applications. Commonly predictive …

To mitigate the crash injury severity of intelligent vehicles when faced with an emergency, it
is critical to build an applicable crash injury severity model. An ensemble model (CSSV …

The intelligent application of simulation is of central importance for the successful
development and testing of automated driving functions. Realistic virtual environments are …

Autonomous vehicles (AVs) offer a promising solution to mitigate human errors and,
consequently, reduce the number of road traffic fatalities. While AVs may significantly reduce …

This paper investigates a continuous real-time risk assessment approach that considers
environment uncertainties in the trajectory planning for automated vehicles. The probabilistic …

Continuous monitoring of traffic accidents enables targeted optimization of vehicle safety
systems as well as safer traffic infrastructure planning. Conventional methods for the …

A high definition of perception sensing is significant for the advancement of driver assistance
systems and autonomous driving systems. The objects detected in the field of view of …

A comprehensive analysis of vehicle collision dynamics is presented using a two-mass
model that simulates the impact of a vehicle against a rigid barrier. The model incorporates …

Crash pulse prediction is one of the crucial factors in develo** integrated (a unified active
and passive) safety systems in the vehicle. As discussed by many researchers, the crash …