A Data-Driven Approach to Detect Passenger Flow Anomaly Under Station Closure

A Data-Driven Approach to Detect Passenger Flow Anomaly Under Station Closure

During daily subway operation, station closure has large impact on subway system organization and has received increasing attention. This article proposes an anomaly detection method based on ensemble algorithms to determine the range of station closure influence on passenger flow. Firstly, Ensemble...

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Bibliographic Details
Main Authors: Yuhang Wu, Baojing Huang, Xue Li, Yingnan Zhang, Xinyue Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Date driven
passenger flow anomaly
spatial-temporal influence detection
station closure
weighted ensemble algorithm
Online Access:https://ieeexplore.ieee.org/document/9166494/

Internet

https://ieeexplore.ieee.org/document/9166494/

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