Crossmark

A Hybrid Framework Combining LSTM NN and BNN for Short-term Traffic Flow Prediction and Uncertainty Quantification

Crossref DOI link: https://doi.org/10.1007/s12205-023-2457-y

Published Print: 2024-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Wang, Yinpu https://orcid.org/0000-0002-0280-6978
Ke, Siping https://orcid.org/0000-0003-1599-2359
An, Chengchuan https://orcid.org/0000-0002-5254-8751
Lu, Zhenbo https://orcid.org/0000-0001-5887-872X
Xia, Jingxin https://orcid.org/0000-0003-2298-3303
License Information

Text and Data Mining valid from 2024-01-01

Text and Data Mining valid from 2024-01-01

Version of Record valid from 2024-08-22
More Information

This article is maintained by: Elsevier

Article Title: A Hybrid Framework Combining LSTM NN and BNN for Short-term Traffic Flow Prediction and Uncertainty Quantification

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-023-2457-y

Content Type: article

Copyright: Copyright © 2024 © Korean Society of Civil Engineers 2024 published by Elsevier inc. Published by Elsevier Inc.