碰撞
行人
激光扫描
地理信息学
计算机科学
运动学
摄影测量学
模拟
计算机视觉
工程类
激光器
运输工程
地理
遥感
计算机安全
物理
经典力学
光学
作者
Jinming Wang,Zhengdong Li,Ying Fan,Donghua Zou,Yijiu Chen
标识
DOI:10.1016/j.jflm.2022.102433
摘要
The aim of this study is to provide an improved method for traffic accident reconstruction based on geomatics techniques and numerical simulations. A combination of various techniques was used. First, an unmanned aerial vehicle (UAV), laser scanner and structured-light scanner were used to obtain information on the accident scene, vehicle and victim. The collected traces provided detailed initial impact conditions for subsequent numerical simulations. Then, multi-body system (MBS) simulations were conducted to reconstruct the kinematics of the car-to-pedestrian collision. Finally, a finite element (FE) simulation using the THUMS model was performed to predict injuries. A real-life vehicle-pedestrian collision was used to verify the feasibility and effectiveness of this method. The reconstruction result revealed that the kinematic and injury predictions of the numerical simulations effectively conformed to the surveillance video and investigation of the actual accident. UAV photogrammetry was demonstrated to be more efficient in accident data collection than hand sketch and measurement, and 3D laser scanning enabled an easier and more accurate modeling process of vehicle. The present study shows the feasibility of this method for use in traffic accident reconstruction.
科研通智能强力驱动
Strongly Powered by AbleSci AI