An Advanced Methodology for Rollover Warning of Heavy Duty Truck Based on Kalman Filter State Estimation

The rollover warning technology reported in this paper focuses on detection of heavy duty truck real-time rollover propensities. The paper suggests a new algorithm of rollover warning for heavy duty vehicle based on Kalman filter technology. Its feasibility for implementation in a heavy duty truck rollover threat detection system is demonstrated through vehicle dynamic simulation studies. The effectiveness of the rollover warning is validated by test data of heavy duty. It has been demonstrated that the proposed rollover warning system is very suitable for application in rollover risk assessment and warning.