Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations-Reference-Cited by-同舟云学术

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations

Published:2024-05-13 Issue: Volume:33 Page:1035-1044
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Long Qingqing¹^ORCID,Fang Zheng²^ORCID,Fang Chen³^ORCID,Chen Chong⁴^ORCID,Wang Pengfei⁵^ORCID,Zhou Yuanchun⁵^ORCID

Affiliation:

1. Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

2. Peking University, Beijing, China

3. Institute of Zoology, Chinese Academy of Sciences, Beijing, China

4. Terminus Group, Beijing, China

5. Computer Network Information Center, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645688

Reference50 articles.

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2. Time delay estimation by generalized cross correlation methods

3. Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang. 2020. Adaptive graph convolutional recurrent network for traffic forecasting. arXiv preprint arXiv:2007.02842 (2020).

4. Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

5. Prediction based traffic management in a metropolitan area

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