Characteristics analysis and impact cluster on urban rail transit perturbations: a real case in Beijing

被引：0

作者：

Wang, Mingming ^{[1
]}

Wang, Li ^{[2
]}

Xu, Xinyue ^{[3
]}

Qin, Yong ^{[3
]}

机构：

[1] Beijing Jiaotong Univ, Sch Traff & Transportat, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China

[2] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China

[3] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China

来源：

2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年

关键词：

urban railway perturbations; spatial and temporal characteristic analysis; classification; k-means;

D O I：

10.1109/SmartWorld.2018.00040

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Since urban rail transit system suffers huge daily passenger volume, perturbations maybe cause great impact on daily operation. The characteristics analysis and grade of perturbations are crucial issues about restoring the service of urban rail transit system. Based on Beijing subway perturbations data, the spatial and temporal characteristics are analyzed in this study. Then the grading method is developed based on the k-means algorithm to accommodate the qualitative and quantitative factors of perturbation. Furthermore, a real case of Beijing subway is proposed to validate the effectiveness of the proposed method and five grades of urban rail transit perturbations are obtained.

引用

页码：23 / 28

页数：6

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