Enhanced Application of Principal Component Analysis in Machine Learning for Imputation of Missing Traffic Data

Missing value imputation approaches have been widely used to support and maintain the quality of traffic data. Although the spatiotemporal dependency-based approaches can improve the imputation performance for large and continuous missing patterns, additionally considering traffic states can lead to...

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Bibliographic Details
Main Authors: Yoon-Young Choi, Heeseung Shon, Young-Ji Byon, Dong-Kyu Kim, Seungmo Kang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/10/2149