Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing-Reference-Cited by-同舟云学术

Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing

Published:2022 Issue: Volume: Page:1-16
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Fei Gaolei¹^ORCID,Yu Ling¹,Alazab Mamoun²^ORCID,Wen Sheng³^ORCID,Haghighi Mohammad Sayad⁴^ORCID,Hu Guangmin¹

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. College of Engineering, IT & Environment, Charles Darwin University, Casuarina, Australia

3. Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC, Australia

4. School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

Funder

Ministry of Education of the Republic of Korea

National Research Foundation of Korea

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

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