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A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic

文献类型：期刊论文

作者Wang, Yue1; Lv, Zhiqiang1,3; Sheng, Zhaoyu2; Sun, Haokai2; Zhao, Aite1
刊名ADVANCED ENGINEERING INFORMATICS
出版日期2022-08-01
卷号53页码:12
关键词Urban computing Traffic revitalization index prediction COVID-19pandemic Meta-learning Spatio-temporal correlation
ISSN号1474-0346
DOI10.1016/j.aei.2022.101678
英文摘要The COVID-19 pandemic is a major global public health problem that has caused hardship to people's normal production and life. Predicting the traffic revitalization index can provide references for city managers to formulate policies related to traffic and epidemic prevention. Previous methods have struggled to capture the complex and diverse dynamic spatio-temporal correlations during the COVID-19 pandemic. Therefore, we propose a deep spatio-temporal meta-learning model for the prediction of traffic revitalization index (DeepMeta-TRI) using external auxiliary information such as COVID-19 data. We conduct extensive experiments on a real-world dataset, and the results validate the predictive performance of DeepMeta-TRI and its effectiveness in addressing underfitting.
资助项目National Natural Science Foundation of China[62106117] ; Shandong Provin-cial Natural Science Foundation, China[ZR2021QF084]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000841095600007
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/19452]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhao, Aite
作者单位1.Qingdao Univ, Coll Comp Sci & Technol, Qingdao, Peoples R China
2.Inst Ubiquitous Networks & Urban Comp, Qingdao, Peoples R China
3.Inst Comp Technol, Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yue,Lv, Zhiqiang,Sheng, Zhaoyu,et al. A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic[J]. ADVANCED ENGINEERING INFORMATICS,2022,53:12.
APA Wang, Yue,Lv, Zhiqiang,Sheng, Zhaoyu,Sun, Haokai,&Zhao, Aite.(2022).A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic.ADVANCED ENGINEERING INFORMATICS,53,12.
MLA Wang, Yue,et al."A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic".ADVANCED ENGINEERING INFORMATICS 53(2022):12.

入库方式： OAI收割

来源：计算技术研究所

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