Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model-Reference-Cited by-同舟云学术

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Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model

Published:2024 Issue: Volume: Page:1-13
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wu Xinyue¹,Chow Andy H. F.¹^ORCID,Zhuang Li²^ORCID,Ma Wei³^ORCID,Lam William H. K.³^ORCID,Wong S. C.⁴^ORCID

Affiliation:

1. Department of Systems Engineering, City University of Hong Kong, Hong Kong, China

2. School of Cyber Science and Engineering, Southeast University, Nanjing, Jiangsu, China

3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China

4. Department of Civil Engineering, The University of Hong Kong, Hong Kong, China

Funder

Research Impact Fund (RIF) through Hong Kong Research Grants Council

Strategic Public Policy Research Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10539927.pdf?arnumber=10539927

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