HMIAN: A Hierarchical Mapping and Interactive Attention Data Fusion Network for Traffic Forecasting

Author:

Sun Jingru1ORCID,Peng Mu1,Jiang Hongbo2,Hong Qinghui1ORCID,Sun Yichuang3ORCID

Affiliation:

1. Department of Communication Engineering, College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. Department of Software Engineering, College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

3. School of Engineering and Computer Science, University of Hertfordshire, Hatfield, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Science and Technology Progress and Innovation Project of Hunan Transportation Department of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference39 articles.

1. Learning to Forget: Continual Prediction with LSTM

2. Semi-supervised classification with graph convolutional networks;kipf;arXiv 1609 02907,2016

3. node2vec

4. A residual spatio-temporal architecture for travel demand forecasting

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