【摘要】 列车运行策略能够具有不同的晚点恢复效果,研究高速列车不同运行调整策略的晚点恢复特性将能为智能调度决策提供依据,通过对不同列车运行调整策略的晚点恢复聚类,分析调整策略的晚点恢复分布特征,运用Pearson相关系数研究晚点恢复、影响晚点恢复效果的晚点时长变量、计划冗余时间变量的相关性,选用K-Means算法研究不同调整策略下车站和区间的晚点恢复效果的聚类问题,聚类结果表明不同列车运行调整策略下的晚点恢复效果可以较明显区分。更多还原

【Abstract】 Train operation strategies can have different delay recovery effects. Studying the delay recovery characteristics of different operation adjustment strategies of high speed trains will provide a basis for intelligent dispatching decisions. The delay recovery distribution characteristics of adjustment strategies are analyzed through the delay recovery clustering of different train operation adjustment strategies. Pearson correlation coefficient is used to study the correlation among delay recovery, delay duration variable affecting the delay recovery effects and planned redundancy time variable. K-Means algorithm is selected to study the clustering problem of delay recovery effects of stations and sections under different adjustment strategies. The clustering results show that the delay recovery effects under different train operation adjustment strategies can be clearly distinguished.更多还原