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

机译:考虑车辆和道路耦合作用的弯道速度模型防止侧滑和侧滑

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摘要

Appropriate speed selection in curve roads is the key of traffic safety during the vehicle's cornering. Lateral instability induced sideslip and rollover are the two main accident forms in curves. However, there's still lack of analyzing sufficient factors that influence curve speed selection currently. In this paper, we combine factors related to vehicle and road states, i.e., the vehicle's lateral load transfer, suspension deflection, and curve geographic features, etc. Therefore, an curve speed model based on analyzing the vehicle-road coupling effect for vehicle sideslip and rollover is proposed. Using simulation analysis, the result shows that the average error of the critical speed selected by the proposed model and that by trail and error is 1.55%. By comparing with typical existing models, the curve speed selected by the proposed model is in the range of those selected by others. Specifically, only the proposed model can reveal rollover risk caused by high speed selection in the curve whose surface adhesion coefficient goes above 0.74.
机译:在弯道中选择合适的速度是车辆转弯时交通安全的关键。横向不稳定引起的侧滑和侧翻是弯道中的两种主要事故形式。但是,目前仍然缺乏分析影响曲线速度选择的足够因素。在本文中,我们结合了与车辆和道路状态相关的因素,即车辆的侧向载荷传递,悬架挠度和弯道地理特征等。因此,基于分析车辆与道路耦合对车辆侧滑影响的弯道速度模型并建议进行展期。通过仿真分析,结果表明,所提模型和跟踪误差所选择的临界速度的平均误差为1.55%。通过与典型的现有模型进行比较,所提出的模型选择的曲线速度处于其他模型选择的曲线速度的范围内。具体而言,只有所提出的模型才能揭示由于表面附着系数超过0.74的曲线中的高速选择而导致的翻车风险。

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