Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (5): 1302-1310.doi: 10.13229/j.cnki.jdxbgxb.20220850

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Roadside prediction method for truck rollover on the curve

Qing-jin XU1(),Rui FU1,2(),Ying-shi GUO1,2,Fu-wei WU1,2   

  1. 1.School of Automobile，Chang'an University，Xi'an 710064，China
    2.Key Laboratory of Automobile Transportation Safety Technology，Ministry of Transport，Chang'an University，Xi′an 710064，China
  • Received:2022-07-04 Online:2024-05-01 Published:2024-06-11
  • Contact: Rui FU E-mail:qingjinxu@outlook.com;furui@chd.edu.cn

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Abstract:

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.

Key words: transportation engineering, rollover prediction, online ARIMA, roadside sensing equipment, estimation of center of gravity height, TruckSim simulation

CLC Number: 

  • U461.1

Fig. 1

Flow chart of vehicle rollover prediction method on the curve"

Fig. 2

Schematic diagram of forces acting on the vehicle on transverse slope"

Fig.3

Flow of online learning"

Fig. 4

Prediction results of different regression models"

Table 1

Prediction accuracy of different regression models"

方法ETRFXGBGB改进KNN
R20.38680.77690.71700.69600.8582
MSE1.37690.08310.09350.09690.0662
MAE0.08010.06160.06630.07560.0492

Table 2

Parameters of simulation vehicle"

参数符号数值单位
质量m2532kg
轮距B1.900m
重心高度hg0.781m

Fig. 5

Test results for estimation of roll degree"

Fig. 6

Test results for prediction of roll degree"

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