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

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...

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Detalles Bibliográficos
Autores principales: Wang, Yue, Lv, Zhiqiang, Sheng, Zhaoyu, Sun, Haokai, Zhao, Aite
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Full Length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212927/
http://dx.doi.org/10.1016/j.aei.2022.101678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212927/
http://dx.doi.org/10.1016/j.aei.2022.101678

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