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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / AAAI-21 Special Programs and Special Track

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

February 1, 2023

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Authors

Xiyue Zhang

South China University of Technology, China


Chao Huang

JD Finance America Corporation, USA


Yong Xu

South China University of Technology, China Communication and Computer Network Laboratory of Guangdong, China Peng Cheng Laboratory, China


Lianghao Xia

South China University of Technology, China


Peng Dai

JD Finance America Corporation, USA


Liefeng Bo

JD Finance America Corporation, USA


Junbo Zhang

JD Intelligent Cities Research, China JD Intelligent Cities Business Unit, JD Digits, China


Yu Zheng

JD Intelligent Cities Research, China JD Intelligent Cities Business Unit, JD Digits, China


DOI:

10.1609/aaai.v35i17.17761


Abstract:

Accurate forecasting of citywide traffic flow has been playing critical role in a variety of spatial-temporal mining applications, such as intelligent traffic control and public risk assessment. While previous work has made significant efforts to learn traffic temporal dynamics and spatial dependencies, two key limitations exist in current models. First, only the neighboring spatial correlations among adjacent regions are considered in most existing methods, and the global interregion dependency is ignored. Additionally, these methods fail to encode the complex traffic transition regularities exhibited with time-dependent and multi-resolution in nature. To tackle these challenges, we develop a new traffic prediction framework–Spatial-Temporal Graph Diffusion Network (ST-GDN). In particular, ST-GDN is a hierarchically structured graph neural architecture which learns not only the local region-wise geographical dependencies, but also the spatial semantics from a global perspective. Furthermore, a multi-scale attention network is developed to empower ST-GDN with the capability of capturing multi-level temporal dynamics. Experiments on four real-life traffic datasets demonstrate that ST-GDN outperforms different types of state-of-the-art baselines.

Topics: AAAI

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HOW TO CITE:

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Proceedings of the AAAI Conference on Artificial Intelligence (2021) 15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021, 15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng (2021). Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Proceedings of the AAAI Conference on Artificial Intelligence, 15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. 2021. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. "Proceedings of the AAAI Conference on Artificial Intelligence". 15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. (2021) "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network", Proceedings of the AAAI Conference on Artificial Intelligence, p.15008-15015

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng, "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network", AAAI, p.15008-15015, 2021.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. "Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 15008-15015.

Xiyue Zhang||Chao Huang||Yong Xu||Lianghao Xia||Peng Dai||Liefeng Bo||Junbo Zhang||Yu Zheng. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI[Internet]. 2021[cited 2023]; 15008-15015.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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