进而分析时态区间和时间点并描述两者间时态关系，并引入时态算子描述这些关系。
In addition, the Temporal Interval and Time Point are analyzed and their temporal relations are described with the Temporal Operators.
以异质性计算模型为依据，分析运行图异质性的影响因素，包括不同速度差、不同列车比例、区间长度、天窗类型、缓冲时间等。
According to calculate method, the paper analyzed the influencing factors about heterogeneity, including velocity difference, proportion difference, interval length, buffer time.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
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