Reconstruction of a real-world car-to-pedestrian collision using geomatics techniques and numerical simulations

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 simula-tions effectively conformed to the surveillance video and investigation of the actual accident. UAV photo-grammetry 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.

Automated summary

This study proposes an improved method for traffic accident reconstruction based on geomatics techniques and numerical simulations. By using unmanned aerial vehicle (UAV), laser scanner, and structured-light scanner, information on the accident scene, vehicle, and victim was obtained. Multi-body system (MBS) simulations and finite element (FE) simulations were conducted to reconstruct the kinematics and predict injuries. The feasibility and effectiveness of this method were verified using a real-life vehicle-pedestrian collision.