基于三次样条插值的车辆行驶数据分析

Analysis of Vehicle Driving Data Based on Cubic Spline Interpolation

采样数据的准确程度直接决定了车辆行驶工况的准确性。采用基于GPS的实时动态车辆行驶数据采集系统,记录了某车辆运行速度、时间、方向等信息,并结合测量误差产生机理,通过分析车辆行驶数据中奇异信号类别及特征,得到无效定位数据、时间错误数据和速度突变数据等3种奇异数据类型。利用三次样条插值算法对奇异数据进行了拟合,修正了车辆行驶数据中奇异信号,修正后的速度时间曲线更符合车辆行驶特征,可真实模拟车辆行驶工况。

The accuracy of driving cycles depends on accuracy of the sampling data. A real-time dynamic data sampling system fur the operating vehicles based on GPS is used to record the information of vehicle speed, time, direction, etc. In combination of the measuring errors generating mechanism, and by analyzing vehicle driving data, the singular signal from testing data are classified into three types： invalid-location data, time-related errors, speed mutation data. Cubic spline interpolation method is used for fitting the data, and correct the singular signal from the vehicle driving data. The corrected speed-time curves more correspond with the real-world driving and road conditions.