Curve Speed Model Considering Coupled Effect Vehicle and Road for Preventions of Rollover and Sideslip

Chu, Delin; Yang, Junru; Lü, Liping; He, Yi; Wu, Chaozhong; Zhang, Cunbao

doi:10.1109/itsc.2018.8569277

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…Trial and error (T&E) method (Chu et al, 2018) was used to find out the critical rollover speed (CRS) and the critical braking distance (CBD). The vehicle run with a closed-loop shifting control at all gears.…”

Section: Simulation Processmentioning

confidence: 99%

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Chen,

Wang

2024

BJRBE

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Sharp curves are vulnerable sections for rollover accidents. This study was conducted to investigate the effects of transition curve and superelevation on the critical speed and critical braking distance of truck rollovers. Using different transition types (spiral, Bloss and Grabowski curve) and different superelevation values (6%, 120 m transition length and 8%, 160 m) as variables, experiments of constant speed driving and hard braking were simulated and conducted by Trucksim. Conclusions regarding the influence of these road design factors on the stability of vehicles were then proposed. Grabowski curve allowed for the maximum critical rollover speed. The difference in critical rollover speed between different transition types was only determined by the length of the transition section. Simply extending the length of the transition section increased the critical rollover speed of spiral curve, at the same time decreasing the critical speed of Bloss and Grabowski curve. Hard braking experiments showed completely different characteristics. As the initial speed increased, only spiral curve became safer. Increasing superelevation made the braking behaviour of the vehicle more dangerous and fraught with uncertainties due to different target speed, starting curvature and changing superelevation. Based on these findings, a number of useful recommendations for drivers and road designers were put forward.

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Section: Simulation Processmentioning

confidence: 99%

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Chen,

Wang

2024

BJRBE

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“…Many factors, classified as driver factor, vehicle factor, road factor, and environmental factor, influence driving safety. 9,[15][16][17] In addition, these factors also include many different aspects. The AHP is used for quantitative analysis of these factors.…”

Section: Modeling For Driving Safety State Evaluationmentioning

confidence: 99%

“…[12][13][14] To realize reliable curve speed warnings, it is of great importance to predict the safe speed on curves. Recently, Chu et al 15,16 proposed 1 College of Traffic Engineering, Nanjing Vocational University of Industry Technology, Nanjing, P.R. China a curve speed model with consideration of the vehicleroad coupling effect, which could predict rollover risk caused by high speed in curve driving.…”

Section: Introductionmentioning

confidence: 99%

“…12–14 To realize reliable curve speed warnings, it is of great importance to predict the safe speed on curves. Recently, Chu et al 15,16 proposed a curve speed model with consideration of the vehicle-road coupling effect, which could predict rollover risk caused by high speed in curve driving. The human and environmental factors were also taken into account in the study of safety speeds.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the safety speed of vehicle turning with considering the driving safety evaluation

Xian

Feng

Zhang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Safety speeds estimation, as an indispensable link in the development of the aided or automatic drive, receives wide attention recently. Due to uncertain disturbances of vehicle driving, it is a challenging task to estimate the safety speed credibly. This work proposes a modified estimation approach to predict the turning safety speed by combining the static drive safety evaluation with the dynamic vehicle speed calculation. First, the driving safety state is evaluated considering the coupling of driver-vehicle-road-environment, where a comprehensive evaluation is obtained by combing the analytic hierarchy process and entropy weight analysis method. Then, a turning critical speed is calculated based on the vehicle driving dynamics considering both sideslip and rollover. The estimation of turning safety speed is achieved by modifying the critical speed with a safety correction factor obtained from the driving safety state evaluation. Finally, cases discussion on driving safety states evaluation, as well as the critical speed verification and safety speed analysis, are carried out. The results verify the validity of the driving safety state evaluation and critical speed calculation. The safety speeds have a reasonable safety margin according to the driving safety state evaluation. The maximum differences between the safety speeds and critical speeds are about 26.45% for buses and 26.39% for cars under low adhesion conditions, showing sufficient reliability for safety speed estimation.

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“…The situation that vehicle corners at high speed is a nonlinear and un-safe situation, as the amplitude and distribution of tyre lateral forces could not be controlled directly by the driver, and they may be saturated due to large tyre slip angles. 1,2 To prevent vehicle cornering accident, there are some active safety control systems equipped in vehicle. The most important and effective control system is Electronic Stability Program (ESP), which controls vehicle yaw rate to track the driver’s desired yaw rate and decreases side-slip angle in oversteer and understeer situations through braking one or more wheels.…”

Section: Introductionmentioning

confidence: 99%

Vehicle speed preview control with road curvature information for safety and comfort promotion

Zhou

Gao

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Vehicle lateral acceleration is a critical state and index for vehicle safety and ride comfort. To limit it in high speed cornering situation, a vehicle speed preview controller is proposed with the information of future road curvature, just as a human driver behavior. The future road curvature can be obtained from high definition map in intelligent vehicle control, and to implement it, model predictive control method (MPC) is implemented taking advantage of its preview nature. In this preview speed control framework, a novel kinematics model with vehicle location, speed and track curvature is established for vehicle states prediction. The control performance index of MPC is constructed with vehicle road following index and lateral acceleration index with the aiming of promoting safety and ride comfort. The controller is evaluated during cornering with different road trajectory, initial speed, preview time and road adhesion coefficient in a hardware-in-the-loop simulation platform. It is testified that vehicle slows down before cornering as human driver does to decrease lateral acceleration and steering angle with the benefit of promoting comfort and safety.

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Curve Speed Model Considering Coupled Effect Vehicle and Road for Preventions of Rollover and Sideslip

Cited by 3 publications

References 13 publications

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves

Study on the safety speed of vehicle turning with considering the driving safety evaluation

Vehicle speed preview control with road curvature information for safety and comfort promotion

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