A Study on the Performance of WordSID Thorax Module for Thorax Injury Prediction in e-Bike Rider Based on Real Accident Data

Purpose The purpose of this study was to evaluate the performance of the WordSID thorax module in predicting the motion and injury of the thorax for e-Bike rider, based on a real traffic accident. Methods A typical accident (minivan-to-eBike) from the FASS (Future mobile traffic Accident Scenario Study) database was selected for accident reconstruction. The e-Bike Rider was simulated by THUMS (Total Human Model for Safety). The kinematic data of THUMS thorax obtained from the accident reconstruction were used as the boundary conditions of WorldSID dummy thorax to simulate the collision between thorax and accident vehicle, and the deflection of WorldSID dummy thorax was outputted and compared with THUMS rib deflection. Results The accident reconstruction results using the THUMS model match the human thorax injury conditions. The WorldSID thorax module can effectively replicate the thorax motion process during the compression phase and predict thorax injury conditions in the minivan-to-eBike collision. Conclusions The WorldSID thorax module does not reflect the bending of the spine during the e-Bike Rider impact process, nor does it consider the impact of forces on the head, neck, and lower limbs. Therefore, further improvements are still necessary.