Road Bank Estimation for Bus Rollover Prediction

Yu, Guizhen; Wang, Di; Li, Qin; Wang, Pangwei; Wang, Yunpeng

doi:10.12785/amis/070543

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…To detect rollover in the process of vehicle movement, the lateral-load transfer ratio (LTR) was commonly used by researchers [4][5][6][7].…”

Section: Rollover Index Of the Triaxle Busmentioning

confidence: 99%

“…Over the years, it is necessary to establish an accurate and effective rollover dynamic model to predict vehicle roll motion. As a basic vehicle model, the two degrees of freedom (DOF) vehicle model with four wheels was used, which considered the road bank angles by Yu et al [3,4]. Also, the rollover dynamics state can be more accurately expressed by adding the roll plane model.…”

Section: Introductionmentioning

confidence: 99%

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Study on Rollover Index and Stability for a Triaxle Bus

Jin

Huang

et al. 2019

Chin. J. Mech. Eng.

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Vehicle rollover, and its resulting fatalities, is an actively researched topic especially for multi-axle vehicles in the field of vehicle dynamics and control. This paper first presents a new rollover index for a triaxle bus to accurately evaluate its rollover possibility and then discusses the influence laws of the vehicle rollover dynamics to explore the mechanism of its stability. First, a six degree of freedom rollover model of the triaxle bus is developed, including lateral, yaw, roll motion of the sprung mass of the front/rear axle, and roll motion of the unsprung mass of the front/rear axle. Next, some key parameters of the vehicle rollover model are identified. A new rollover index is deduced according to the basics of vehicle dynamics, to predict vehicle rollover risk for the triaxle bus, which is verified by TruckSim. Furthermore, the influence laws of vehicle rollover dynamics by vehicle parameters and road parameters are discussed based on the simulation results. More importantly, the results show that the new method of modeling can precisely describe the rollover dynamics of the studied bus, and the proposed new index can effectively evaluate the rollover possibility. Therefore, this study provides a theoretical basis to improve anti-rollover ability for triaxle buses.

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“…To detect rollover in the process of vehicle movement, the lateral-load transfer ratio (LTR) was commonly used by researchers [4][5][6][7].…”

Section: Rollover Index Of the Triaxle Busmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on Rollover Index and Stability for a Triaxle Bus

Jin

Huang

et al. 2019

Chin. J. Mech. Eng.

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“…Component I-Road Bank Estimation: This component intends to dynamically estimate road bank φ B and vehicle turning radius R. The estimator [6] consists of a 2-DOF non-linear vehicle model and a DSA. Using measured lateral acceleration a y,m and yaw accelerationṙ m , road bank is estimated by solving an optimization problem.…”

Section: Architecturementioning

confidence: 99%

“…Therefore, the rollover prevention systems would be important for highway safety. According to recent research [6], it is estimated that about 42% crashes might have been avoided if the vehicles were equipped with a warning system which could guide drivers to drive buses in an appropriate way before rollover arises. Prevention systems can be categorized as passive warning systems and active control uses a prediction algorithm to evaluate the threat of potential rollover based on the information of vehicle roll angle or lateral acceleration [7]; by contrast, an active control system directly controls the roll motion [8] and yaw motion of the vehicle [9,10].…”

Section: Introductionmentioning

confidence: 99%

Real-time bus rollover prediction algorithm with road bank angle estimation

Wang

et al. 2016

Chaos, Solitons & Fractals

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The bus rollover warning has achieved many progresses for researcher endeavors in the past decades. But these researches have not taken account for dynamic road bank. To fill up the gap, this paper presents a real-time rollover trend prediction to indicate bus rollover risk with road bank estimation. The prediction algorithm consists of a dynamic roll stability analysis, which is based on a suspended roll plane model, and a real-time warning velocity calculation. An estimator for the dynamic road bank and vehicle sideslip angle estimation using the dynamic simplex algorithm (DSA) is designed to take into account the influence of road bank on rollover trend. By comparing maximum stable lateral acceleration to the affordable lateral acceleration depending on the tire/road friction limit, a warning velocity is determined using the measurement of lateral acceleration and the estimate of instantaneous vehicle turning radius. The proposed rollover trend prediction algorithm is evaluated by TruckSim software. Simulation results show that the proposed warning velocity can represent the vehicle potential to resist rollover and give appropriate prediction of vehicle rollover crashes in typical scenarios.

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