Study on Predicting Bus Lateral Transfer Ratio Using a Modified Grey Model
Currently, buses are equipped with anti-rollover systems to prevent vehicle rollovers that cause numerous traffic deaths each year. In order to improve the functioning of the existing anti-rollover systems, this study proposes a new method to predict the lateral transfer ratio (LTR) of a bus to achieve early detection of bus rollover risks. This early rollover detection method is a combination of the LTR, the grey model, and a buffer operator, which can predict the LTR trend, for providing a certain timing advance to the anti-rollover control system. First, an estimation equation is proposed to better estimate the LTR, and validated using Simulink and TruckSim. Then, a basic grey model is utilized with the estimated LTR to predict the future LTR.