A Two-Stage Hybrid Extreme Learning Model for Short-Term Traffic Flow Forecasting
Credible and accurate traffic flow forecasting is critical for deploying intelligent traffic management systems. Nevertheless, it remains challenging to develop a robust and efficient forecasting model due to the nonlinear characteristics and inherent stochastic traffic flow. Aiming at the nonlinear...
Main Authors: | Zhihan Cui, Boyu Huang, Haowen Dou, Yan Cheng, Jitian Guan, Teng Zhou |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/12/2087 |
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