一种考虑运行图时空路径结构的列车时刻表风险评估方法

By quantifying the risks of high-speed railway train spatiotemporal operation paths and constructing a risk redundancy coupling degree index, the problem of global risk assessment of high-speed railway train timetables is solved, and the risk resistance performance of train operation diagrams is improved.

CN120258514BActive Publication Date: 2026-07-17YANGZHOU UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANGZHOU UNIV
Filing Date
2025-03-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies make it difficult to conduct a comprehensive risk assessment of high-speed railway train timetables, especially when facing complex transportation risk disturbances. The lack of scientific risk assessment methods makes it difficult to optimize the risk resistance performance of train operation schedules.

Method used

By establishing a train timetable risk assessment method that considers the spatiotemporal path structure of the operation diagram, the risk of the spatiotemporal operation path of a single train is quantified, the synergy analysis of the redundancy and risk distribution of local train group timetables is carried out, a risk redundancy coupling degree index is constructed, and a global risk assessment is achieved.

Benefits of technology

It enables the quantification of local potential spatiotemporal risks in train operation plans, improves the risk resistance level of train timetables, accurately identifies risk bottlenecks and scientifically configures redundant parameters, thereby enhancing the risk resistance capability of high-speed railway train operation diagrams.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种考虑运行图时空路径结构的列车时刻表风险评估方法。本发明基于列车运行图时空网格的风险分布状态数据,提取车站风险和区间风险量化单车路径风险;并考虑单列车运行冗余和车间追踪间隔冗余提取时刻表冗余时间;依据时空网格内的列车轨迹数量将时空网格进行分类,并针对每一类时空网格,建立列车群的风险值和冗余时间的映射数据集,并进行风险和冗余的协同性分析,辨识风险冗余分布形态;基于数据离散程度和变化趋势确定各类时空网格的风险冗余耦合度,进而确定运行图时空网格全局耦合度,以进行列车时刻表风险评估。相较于现有技术,本发明能够高效刻画列车群时空路径和风险分布的耦合关系,为列车运行计划调整提供有效技术支撑。
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