A passenger flow dynamic monitoring and situation assessment method and system for a railway passenger hub

By dynamically adjusting the weights of passenger flow evaluation indicators in railway passenger hubs, the problems of slow response during peak hours and distortion during off-peak hours in traditional models have been solved, realizing dynamic monitoring and situation assessment of passenger flow, and improving the accuracy and timeliness of the assessment.

CN122414903APending Publication Date: 2026-07-17SOUTHWEST JIAOTONG UNIV
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Patent Information

Application Number
CN202610498562.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the passenger flow assessment model for railway passenger hubs cannot dynamically adjust the weights, resulting in slow response during peak hours and distortion during off-peak hours, making it difficult to accurately reflect the dynamic evolution of passenger flow.

Method used

By labeling passenger flow data according to date type and intraday time period type to form multiple running segments, passenger flow evaluation indicators are established. The weight of the indicators is calculated using the membership degree deviation weight optimization method, and the evaluation matrix is ​​formed by combining the correlation function. The indicator weights are dynamically adapted to improve the accuracy of the evaluation.

Benefits of technology

It enables dynamic monitoring and situation assessment of passenger flow, improving the accuracy and timeliness of assessments and providing a scientific basis for real-time control of railway passenger hubs.

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Abstract

本发明提供了一种铁路客运枢纽客流动态监测与态势评估方法及系统,涉及铁路客运枢纽运营管理技术领域,获取预设时长内的客流数据;按日期类型与日内时段类型标注数据并组合为多个运行时段;建立客流评价指标,计算各时段指标值;获取各运行时段的隶属度评价,基于隶属度偏差的权重优化法在归一化约束下计算权重向量;通过关联函数计算指标值对评价等级的隶属度并形成评价矩阵;将权重向量与评价矩阵合成得到综合隶属度向量,确定评价等级与综合评分。本发明解决了固定权重无法随客流时空变化动态调整、难以准确反映客流动态演化规律的问题。
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