A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting

Qian Qiu; Yong Huang; Xiaoting Huang; Wei Zhou

doi:10.1371/journal.pone.0342520

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Open Access

Peer-reviewed

Research Article

A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting

Qian Qiu ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation

* E-mail: qqian@alumni.sysu.edu.cn

Affiliations School of Traffic and Transportation, Guangxi Transport Vocational And Technical College, Nanning, China, Guangxi Comprehensive Transportation Safety and Management Innovation Team, Nanning, China, Guangxi Transportation Industry Safety and Emergency Response Technology Key Laboratory, Guangxi Transport Vocational And Technical College, Nanning, China

https://orcid.org/0009-0007-5503-1209

⨯
Yong Huang,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations School of Traffic and Transportation, Guangxi Transport Vocational And Technical College, Nanning, China, Guangxi Comprehensive Transportation Safety and Management Innovation Team, Nanning, China, Guangxi Transportation Industry Safety and Emergency Response Technology Key Laboratory, Guangxi Transport Vocational And Technical College, Nanning, China
⨯
Xiaoting Huang,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Nanning Architectural Planning and Design Group Co., Ltd., Nanning, China
⨯
Wei Zhou

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations School of Traffic and Transportation, Guangxi Transport Vocational And Technical College, Nanning, China, Guangxi Comprehensive Transportation Safety and Management Innovation Team, Nanning, China, Guangxi Transportation Industry Safety and Emergency Response Technology Key Laboratory, Guangxi Transport Vocational And Technical College, Nanning, China
⨯

A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting

Qian Qiu,
Yong Huang,
Xiaoting Huang,
Wei Zhou

Published: March 27, 2026
https://doi.org/10.1371/journal.pone.0342520

About the Authors

Qian Qiu

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation

* E-mail: qqian@alumni.sysu.edu.cn

Affiliations School of Traffic and Transportation, Guangxi Transport Vocational And Technical College, Nanning, China, Guangxi Comprehensive Transportation Safety and Management Innovation Team, Nanning, China, Guangxi Transportation Industry Safety and Emergency Response Technology Key Laboratory, Guangxi Transport Vocational And Technical College, Nanning, China

https://orcid.org/0009-0007-5503-1209

Yong Huang

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Xiaoting Huang

Affiliation Nanning Architectural Planning and Design Group Co., Ltd., Nanning, China

Wei Zhou

Competing Interests

The authors have declared that no competing interests exist.

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Forecasting
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Roads
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Convolution
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Machine learning
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Network analysis
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Transportation
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Urban environments
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