Forecasting Impact Injuries of Unrestrained Occupants in Railway Vehicle Passenger Compartments

The model was well suited to studies of occupant impact injuries and allowed multiple-parameter forecasts of the occupant impact injuries to be realized assuming values for various influencing factors. Finally, the forecast results for three types of secondary collision were analyzed using forecasting accuracy evaluation methods. Results: All of the results showed the ideal accuracy of the forecast model.

When an occupant faced a table, the relative errors between the predicted and experimental values of the respective injury parameters were kept within ±6.0 percent and the average relative error (ARE) values did not exceed 3.0 percent. When an occupant faced a seat, the relative errors between the predicted and experimental values of the respective injury parameters were kept within ±5.2 percent and the ARE values did not exceed 3.1 percent.

When the occupant faced another occupant, the relative errors between the predicted and experimental values of the respective injury parameters were kept within ±6.3 percent and the ARE values did not exceed 3.8 percent. Conclusions: The injury forecast model established in this article reduced repeat experiment times and improved the design efficiency of the internal compartment's structure parameters, and it provided a new way for assessing the safety performance of the interior structural parameters in existing, and newly designed, railway vehicle compartments.