Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting

Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting

Reliable forecasting of short-term traffic flow is an essential component of modern intelligent transport systems. However, existing methods fail to deal with the non-linear nature of short-term traffic flow, often making the forecasting unreliable. Herein, we propose a reliable short-term traffic f...

Full description

Saved in:
Bibliographic Details
Main Authors: Huayuan Chen, Zhizhe Lin, Yamin Yao, Hai Xie, Youyi Song, Teng Zhou
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
hybrid extreme learning
non-linear representation
artificial bee colony
short-term traffic flow forecasting
Online Access:https://www.mdpi.com/2227-7390/12/20/3303
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/12/20/3303

Similar Items