Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning-Reference-Cited by-同舟云学术

Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning

Author:

Meese Collin¹^ORCID,Chen Hang²,Li Wanxin³,Lee Danielle¹,Guo Hao⁴^ORCID,Shen Chien-Chung²^ORCID,Nejad Mark¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, University of Delaware, Newark, DE, USA

2. Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

3. Department of Communications and Networking, Xi’an Jiaotong-Liverpool University, Suzhou, China

4. Research and Development Institute, Northwestern Polytechnical University, Shenzhen, China

Funder

Federal Highway Administration Grant “Artificial Intelligence Enhanced Integrated Transportation Management System”

Guangdong Basic and Applied Basic Research Foundation

Natural Science Foundation of Shaanxi Provincial Department of Education

Basic Research Programs of Taicang

Xi’an Jiaotong-Liverpool University (XJTLU) Research Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference58 articles.

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