Traffic Flow Prediction at Varied Time Scales via Ensemble Empirical Mode Decomposition and Artificial Neural Network

Traffic Flow Prediction at Varied Time Scales via Ensemble Empirical Mode Decomposition and Artificial Neural Network

Accurate traffic flow data is crucial for traffic control and management in an intelligent transportation system (ITS), and thus traffic flow prediction research attracts significant attention in the transportation community. Previous studies have suggested that raw traffic flow data may be contamin...

Full description

Bibliographic Details
Main Authors: Xinqiang Chen, Jinquan Lu, Jiansen Zhao, Zhijian Qu, Yongsheng Yang, Jiangfeng Xian
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
traffic flow data
prediction
denoising
varied time scales
Online Access:https://www.mdpi.com/2071-1050/12/9/3678

Internet

https://www.mdpi.com/2071-1050/12/9/3678

Similar Items