列车追踪间隔时间的分解及影响分析

doi:10.3969/j.issn.1673-4440.2023.07.001

铁路通信信号工程技术 ›› 2023, Vol. 20 ›› Issue (7): 1-9.DOI: 10.3969/j.issn.1673-4440.2023.07.001

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列车追踪间隔时间的分解及影响分析

江明¹，张万强¹，张嘉扬²

1．北京全路通信信号研究设计院集团有限公司，北京 100070；
2．北京理工大学，北京 100081

收稿日期:2023-04-19 修回日期:2023-07-02 出版日期:2023-07-25 发布日期:2023-07-25
作者简介:江明（1978—），男，正高级工程师，博士，主要研究方向：列控系统及安全控制技术，邮箱：jiangming@crscd.com.cn。
基金资助:
国家自然科学基金高铁联合基金项目(U2034211)

Decomposition of Train Tracking Interval and Its Impact Analysis

Jiang Ming¹, Zhang Wanqiang¹, Zhang Jiayang²

1. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China；
2. Beijing Institute of Technology, Beijing 100081, China

Received:2023-04-19 Revised:2023-07-02 Online:2023-07-25 Published:2023-07-25

摘要/Abstract

摘要： 综合考虑列车性能、线路条件、信号系统、运输作业等影响列车追踪间隔时间的因素，深入分析列车追踪间隔时间的构成，将其分解为列车性能运行时间、线路条件附加运行时间、信号附加运行时间和其他附加运行时间，给出各运行时间及其对列车追踪间隔时间贡献率的定义。以CR400BF型动车组及其运行参数为例，采用仿真计算软件计算不同运行速度、不同坡度、不同闭塞分区长度等组合条件下各运行时间对列车追踪间隔时间的贡献率，定量分析各因素及其组合对不同列车追踪间隔时间的影响。对于区间追踪间隔时间和通过追踪间隔时间，运行速度较低时主导因素为信号系统，运行速度较高时主导因素为列车性能；对于出发追踪间隔时间和到达追踪间隔时间，主导因素为线路条件。

关键词: 区间通过能力, 列车追踪间隔时间, 影响因素, 贡献率

Abstract: The composition of train tracking interval is analyzed in depth with comprehensively considering of various influencing factors, including train performance, line conditions, signal system, transportation operation. Train tracking interval is accordingly decomposed into train performance operation time, additional operation time under line conditions, additional operation time under signal system and other additional operation time. Definitions of each operation time and its contribution rate to train tracking interval are proposed. Taking CR400BF EMU and its operation parameters as an example, the contribution rate of each operation time to each train tracking interval is calculated using simulation calculation software, under the combination conditions of different operation speeds, different gradients and different block section lengths. The influence of each factor and its combination on train tracking interval is quantitatively analyzed. Conclusion: For train interval tracking time and train passing tracking interval, the leading factor is signal system when the operation speed is low, and the leading factor is train performance when the operation speed is high. For departure tracking interval and arrival tracking interval, the leading factor is line conditions.

Key words: interval throughput, train tracking interval, influencing factors, contribution rate

中图分类号:

江明, 张万强, 张嘉扬. 列车追踪间隔时间的分解及影响分析[J]. 铁路通信信号工程技术, 2023, 20(7): 1-9.

Jiang Ming, Zhang Wanqiang, Zhang Jiayang. Decomposition of Train Tracking Interval and Its Impact Analysis[J]. Railway Signalling & Communication Engineering, 2023, 20(7): 1-9.

图/表 3

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列车追踪间隔时间的分解及影响分析

Decomposition of Train Tracking Interval and Its Impact Analysis

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