A Traffic Flow Data Restoration Method Based on an Auxiliary Discrimination Mechanism-Oriented GAN Model-Reference-Cited by-同舟云学术

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A Traffic Flow Data Restoration Method Based on an Auxiliary Discrimination Mechanism-Oriented GAN Model

Published:2024-06-15 Issue:12 Volume:11 Page:22742-22753
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Can¹^ORCID,Zhao Yan¹,Li Linheng¹^ORCID,Yang Qiao²,Qu Xu¹,Ran Bin¹

Affiliation:

1. School of Transportation, the Institute on Internet of Mobility, Southeast University and University of Wisconsin–Madison, and the Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China

2. College of Civil and Transportation Engineering, Hohai University, Nanjing, China

Funder

Postgraduate Research and Practice Innovation Program of Jiangsu Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10485198.pdf?arnumber=10485198

Reference30 articles.

1. An efficient realization of deep learning for traffic data imputation

2. Malfunction identifying and modifying of dynamic traffic data;Jiang;J. Traffic Transp. Eng.,2004

3. Repair method for traffic flow fault data based on spatial-temporal correlation;Wang;J. Zhejiang Univ.,2017

4. Scalable tensor factorizations for incomplete data

5. A tensor-based method for missing traffic data completion

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