A highly efficient framework for outlier detection in urban traffic flow

A highly efficient framework for outlier detection in urban traffic flow

Abstract The outliers in traffic flow represent the anomalies or emergencies in the road. The detection and research of outliers will help to reveal the mechanism of such events. Aiming at the problem of outlier detection in urban traffic flow, this paper innovatively proposes a highly efficient tra...

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Bibliographic Details
Main Authors: Xing Wang, Ruihao Zeng, Fumin Zou, Faliang Huang, Biao Jin
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:IET Intelligent Transport Systems
Subjects:
Outlier detection
Road traffic flow pattern
Nonnegative matrix factorization (NMF)
K‐FCM clustering algorithm
PSO‐BP neural network
Algebra
Online Access:https://doi.org/10.1049/itr2.12109

Internet

https://doi.org/10.1049/itr2.12109

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