Roadside prediction method for truck rollover on the curve
Truck is easy to rollover due to improper operation because of its high center of gravity(c.g).This paper proposes a vehicle rollover prediction method which could be put into use quickly based on existing roadside measurement equipment.First,a regression prediction model of vehicle c.g height based on improved KNN was proposed to realize the roadside dynamic estimation of vehicle c.g.Then,a roll estimation model based on lateral load transfer rate(LTR)was established to realize the roadside estimation of roll degree.Finally,an online ARIMA model was proposed to predict vehicle roll state online.The results of MATLAB/Simulink and TruckSim co-simulation showed that the proposed rollover prediction method could accurately predict the LTR trend and the LTR limit value in the whole process,thus providing a basis for roadside equipment to transmit specific warnings in advance on the curve.
transportation engineeringrollover predictiononline ARIMAroadside sensing equipmentestimation of center of gravity heightTruckSim simulation
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