Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles-Reference-Cited by-同舟云学术

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Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles

Published:2024 Issue: Volume: Page:1-16
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhao Liang¹^ORCID,Qian Hui¹^ORCID,Hawbani Ammar¹^ORCID,Al-Dubai Ahmed Y.²^ORCID,Tan Zhiyuan²^ORCID,Yu Keping³^ORCID,Zomaya Albert Y.⁴^ORCID

Affiliation:

1. School of Computer Science, Shenyang Aerospace University, Shenyang, China

2. School of Computing, Edinburgh Napier University, Edinburgh, U.K.

3. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

4. School of Computer Science, The University of Sydney, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Liaoning Province Applied Basic Research Program

Liaoning Revitalization Talents Program

Royal Society-International Exchanges 2021 Cost Share

Open Fund of Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet

Shenyang Aerospace University Talent Research Start-up Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10535043.pdf?arnumber=10535043

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1. Optimization of semi-supervised generative adversarial network models: a survey;International Journal of Intelligent Computing and Cybernetics;2024-07-31

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