Large-Scale Traffic Congestion Prediction Based on the Symmetric Extreme Learning Machine Cluster Fast Learning Method

The prediction of urban traffic congestion has emerged as one of the most pivotal research topics of intelligent transportation systems (ITSs). Currently, different neural networks have been put forward in the field of traffic congestion prediction and have been put to extensive use. Traditional neu...

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Bibliographic Details
Main Authors: Yiming Xing, Xiaojuan Ban, Xu Liu, Qing Shen
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/6/730