Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks-Reference-Cited by-全球学者库

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Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks

Published:2021 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang Senzhang,Zhang Jiaqiang,Li Jiyue,Miao Hao,Cao Jiannong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09652050.pdf?arnumber=9652050

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic multi-graph neural network for traffic flow prediction incorporating traffic accidents;Expert Systems with Applications;2023-12

2. Integrating a non-gridded space representation into a graph neural networks model for citywide short-term crash risk prediction;Urban Informatics;2023-11-29

3. MLPST: MLP is All You Need for Spatio-Temporal Prediction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. Urban short-term traffic speed prediction with complicated information fusion on accidents;Expert Systems with Applications;2023-08

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