Quantifying the Uncertainty in Long-Term Traffic Prediction Based on PI-ConvLSTM Network-Reference-Cited by-同舟云学术

Quantifying the Uncertainty in Long-Term Traffic Prediction Based on PI-ConvLSTM Network

Author:

Li Yiqun¹^ORCID,Chai Songjian²^ORCID,Wang Guibin³^ORCID,Zhang Xian¹^ORCID,Qiu Jing⁴^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China

2. Ergatian Ltd., Hong Kong, China

3. College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

4. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Foundations of Shenzhen Science and Technology Committee

Australian Research Council (ARC) Research Hub

ARC Training Centre

ARC Linkage Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference45 articles.

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