基于预发车的高速铁路列车出发追踪间隔时间压缩方法

鲁工圆; 胡留洋; 彭慧; 张宏翔; 张守帅

doi:10.3969/j.issn.0258-2724.20220064

基于预发车的高速铁路列车出发追踪间隔时间压缩方法

doi: 10.3969/j.issn.0258-2724.20220064

鲁工圆^{1, 2, ,},
胡留洋¹,
彭慧³,
张宏翔¹,
张守帅¹

1.
西南交通大学交通运输与物流学院，四川成都 610031
2.
西南交通大学综合交通运输智能化国家地方联合工程实验室，四川成都 610031
3.
成都地铁运营有限公司，四川成都 610036

基金项目: 国家自然科学基金高铁联合基金资助项目（U1834209）

详细信息

作者简介:
鲁工圆（1983—），男，副教授，博士，研究方向为运输组织优化理论与方法，E-mail：lugongyuan@home.swjtu.edu.cn

通讯作者:
鲁工圆（1983—），男，副教授，博士，研究方向为运输组织优化理论与方法，E-mail：lugongyuan@home.swjtu.edu.cn

中图分类号: U292.1
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- 被引次数: 0
出版历程
- 收稿日期: 2022-01-27
- 修回日期: 2022-07-19
- 网络出版日期: 2024-09-21

Method for Compressing Departure Tracking Interval of High-Speed Trains Based on Pre-Departure Strategy

1.
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
2.
National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China
3.
Chengdu Metro Operation Co., Ltd, Chengdu 610036, China

摘要

摘要:
出发追踪间隔时间是限制列车实现3 min追踪运行的主要瓶颈之一，压缩出发追踪间隔时间可有效提高线路通过能力. 首先，分析高速列车出发追踪运行过程，提出在出站信号机内侧一定距离设置预发车信号机，使列车在出站信号机开放时具有一定初速度且剩余出站距离缩短；并设计预发车过程的“故障导向安全”原则以确保列车不冒进出站信号机；然后，在分析影响压缩出发追踪间隔时间因素的基础上，研究不同预发车方案下的列车控车模式曲线；最后，以上海虹桥站高速场为例进行仿真验证. 研究结果表明：该方法能够显著压缩列车出发追踪间隔时间，压缩效果随预发车距离的增大呈现先上升后下降的趋势；在到发线有效长可提供200 m预发车距离时，最大可压缩列车出发追踪间隔时间26 s以上.
- 高速铁路 /
- 出发追踪间隔时间 /
- 预发车 /
- 列车提前启动
Abstract:
The departure tracking interval is one of the main bottlenecks that limit the 3-minute tracking operation of trains, and compressing the departure tracking interval can effectively improve line capacity. The departure tracking process of high-speed trains was first analyzed, and a pre-departure annunciator was set at a certain distance inside the outbound annunciator, making the train have a certain initial speed and shortening the remaining outbound distance when the outbound annunciator was open. At the same time, the principle of “failure-oriented safety” for the pre-departure process was put forward to ensure that the train did not cross the outbound annunciator. Then, based on the analysis of factors affecting the compression of departure tracking interval, the curves of train control mode under different pre-departure schemes were studied. Finally, the high-speed yard of Shanghai Hongqiao Station was studied, and the results show that the departure tracking interval can be significantly compressed by the proposed method. The compression effect increases first and then decreases with the increase in the pre-departure distance, and the maximum compressible departure tracking interval can be more than 26 seconds if the pre-departure distance reaches 200 meters of the effective lengths of the arrival-departure track.
- high-speed railway /
- departure tracking interval /
- pre-departure /
- train departure in advance

HTML全文

图 1 列车出发追踪运行过程

Figure 1. Train departure tracking operation

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图 2 列车预发车过程示意

Figure 2. Pre-departure process of trains

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图 3 安全防护标识示意图

Figure 3. Safety protection signs

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图 4 故障导向安全的列车预发车控车模式曲线

Figure 4. Pre-departure control curve under principle of “failure-oriented safety”

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图 5 基于预发车信号的出站作业流程

Figure 5. Departure process based on pre-departure signal

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图 6 预发车信号机可行设置位置

Figure 6. Possible location of pre-departure annunciator

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图 7 不同$ {L}_{预} $下列车预发车过程的控车模式曲线

Figure 7. Pre-departure control curve under different L_pre

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图 8 不同$ {v}_{发控} $下列车预发车过程的控车模式曲线

Figure 8. Pre-departure control curve under different V_con

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图 9 上海虹桥站高速场上行方向站型图

Figure 9. Layout of upward direction of high-speed yard of Shanghai Hongqiao Station

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图 10 各到发线$ \Delta {I}_{预} $随$ {L}_{预} $的变化曲线

Figure 10. Variation of △I_pre with L_pre in each arrival-departure track

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图 11 各到发线$ \Delta {I}_{预} $随$ {v}_{发控} $的变化曲线

Figure 11. Variation of △I_pre with L_con in each arrival-departure track

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图 12 各到发线$\Delta I$随$ {v}_{发控} $的变化曲线

Figure 12. Variation of △I with L_con in each arrival-departure track

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表 1 相关参数

Table 1. Related parameters

参数股道	发车进路长度/m	$ {L}_{标} $/m	$ {t}_{附加} $/s	$ {v}_{发控} $/ （km•h⁻¹）	$ {v}_{咽} $/ （km•h⁻¹）
X	2607	290	51	45	80
11	2903	215
12	2903	215
13	2871	215
14	2871	215
15	2879	215
16	2879	215
17	2936	215
18	2936	215
19	2551	290

下载: 导出CSV

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