Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach

Author:

Huang Yunjie1ORCID,Song Xiaozhuang2ORCID,Zhu Yuanshao1ORCID,Zhang Shiyao3ORCID,Yu James J. Q.1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China

2. School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

3. Research Institute for Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China

Funder

General Program of Guangdong Basic and Applied Basic Research Foundation

Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet

Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation

Stable Support Plan Program of Shenzhen Natural Science Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction;Expert Systems with Applications;2024-12

2. Physics-Guided Multi-Source Transfer Learning for Network-Scale Traffic Flow Prediction;IEEE Transactions on Intelligent Transportation Systems;2024

3. Transfer Learning-Based Region Statistical Data Completion via Double Graphs;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

4. Analyzing and Modeling Riyadh's Human Mobility Patterns;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

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