Research on Delay Distribution Model of High-speed Railway Off-line Trains Based on Superstatistics Theory

被引：0

作者：

Yuan Q. ^{[1
]}

Wu X. ^{[1
]}

Hu S. ^{[1
]}

Duan Q. ^{[2
]}

机构：

[1] School of Transportation, Beijing Jiaotong University, Beijing

[2] Jinan Dispatch Office, China Railway Jinan Bureau Co., Ltd., Jinan

来源：

Tiedao Xuebao/Journal of the China Railway Society | 2019年 / 41卷 / 06期

关键词：

High-speed railway; Off-line trains; Q-exponential distribution model; Superstatistics theory;

D O I：

10.3969/j.issn.1001-8360.2019.06.004

中图分类号：

学科分类号：

摘要：

Accurate description of the delay distribution of high-speed railway off-line trains, as the basis for precisely calculating the train daughter delay time caused by the off-line trains, as well as the basis for the delicacy management of high-speed railways with limited capacity, has important theoretical and practical significance. Based on the analysis of operational data of high-speed railway off-line trains, this paper studied the train delay mechanism by using the theory of the superstatistics, and established the q-exponential distribution model of off-line train delay. The nonlinear regression fitting and Kolmogorov-Smirnov test were used for the comparison of the fitness of curves between the common positive skewness and fat-tailed distribution models and the exponential distribution model used to model the normal-speed railway trains delay based on the delay data of Beijing-Shanghai high-speed railway off-line trains in September 2018. The results confirm that the q-exponential distribution model has better fitting effect and can describe the delay distribution of high-speed railway off-line trains more accurately than the common positive skewness and fat-tailed distribution model. © 2019, Department of Journal of the China Railway Society. All right reserved.

引用

页码：24 / 31

页数：7

共 21 条

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