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Analysis and warning of corner safety speed of curve based on vehicle structure modeling

机译:基于车辆结构建模的弯道拐角安全速度分析与预警

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Choosing the right speed range to drive through high-risk road sections is of great significance for ensuring driving safety. The road conditions at the corner of the road are complex and diverse. The driver relies on driving experience to drive the vehicle. It is easy to negligence and drive through the corner at a faster speed, causing the vehicle to slip and cause traffic accidents. The traditional method of solving the speed threshold usually constructs the vehicle dynamics model as a whole. Although the solution process is simplified, the influence of the vehicle structure on the model is neglected, which often causes the deviation of the calculation results. In order to improve the accuracy of the solution, this paper fully considers the vehicle structural parameters such as wheelbase, track and height, constructs the vehicle dynamics model, calculates the load distribution of the four wheels of the vehicle, selects the minimum load wheel for force analysis, and combines the road condition information to obtain Safe speed, and informs the driver in advance to make reasonable driving choices to ensure safe driving. At the same time, the curve warning system in this paper puts forward new requirements for the collection of road condition data, and calculates the safe braking distance corresponding to the road condition. In this paper, the joint simulation of MATLAB and Carsim is used. The relative error between the theoretical value and the simulated value is less than 5% and the simulated simulator is used in this paper, which proves the accuracy and reliability of the model.
机译:选择正确的速度范围以通过高风险路段对于确保驾驶安全具有重要意义。道路拐角处的路况复杂多样。驾驶员依靠驾驶经验来驾驶车辆。容易疏忽,以更快的速度驶过弯道,导致车辆打滑并造成交通事故。解决速度阈值的传统方法通常会整体构建车辆动力学模型。尽管简化了求解过程,但忽略了车辆结构对模型的影响,这通常会导致计算结果出现偏差。为了提高求解的准确性,本文充分考虑了轴距,履带,高度等车辆结构参数,构建了车辆动力学模型,计算了车辆四个车轮的载荷分布,选择了最小载荷车轮。力分析,结合路况信息获得安全速度,并提前告知驾驶员合理的驾驶选择,以确保安全驾驶。同时,本文的弯道预警系统对路况数据的采集提出了新的要求,并计算出与路况相对应的安全制动距离。在本文中,使用了MATLAB和Carsim的联合仿真。理论值与仿真值之间的相对误差小于5%,本文采用仿真器进行仿真,证明了模型的准确性和可靠性。

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