Traffic collisions are incidents with high fatality rate which generate billions of US dollars of
loss worldwide each year. Post-collision scene reconstruction, which involves knowledge of …

In the human–vehicle–road system of collisions, the human is the most important factor, and
digital human models (DHMs) are developed with the aim of preventing or at least reducing …

In order to investigate the sensitivity of parameters and analyze the uncertainty of
reconstructed results in traffic accident, the impact of correlations between parameters on …

There is always more than one method can be employed to reconstruct a traffic accident and
then more than one result can be obtained. How to describe these different results becomes …

The need for continuous research to refine the models used in forensic accident
reconstruction appears with the development of new car models that satisfy consumer …

人车事故中行人主要与车辆和地面接触而遭受损伤. 此前已有大量研究在车辆接触阶段对多体
行人模型进行了验证, 但对地面接触阶段的验证较少. 本文中评估了用于预测车辆撞击后行人 …

The blind zone that accompanies the right-turn process of semitrailer trucks is a major cause
of crashes and the high fatality of vulnerable road users (VRUs). Understanding the …

The paper presents the capabilities of the developed expert system for vehicle accident
reconstruction. The system determines converted energy for each vehicle, post-collision and …

The purpose of this study is to examine the effects of EEG signals on different cognitive tasks
of the pedestrians. The author developed new software for simulation, called Pedestrian 3D …

Pedestrians are classified as vulnerable road users and figures show that they are
particularly at risk of being involved in traffic crashes when crossing the road. The purpose of …