Short-Term Traffic State Prediction Based on the Critical Road Selection Optimization in Transportation Networks

Short-term traffic prediction under corrupted or missing data for large-scale transportation networks has become an important and challenging topic in recent decades. Since the critical roads have predictive power on their adjacent roads, this paper proposes a novel hybrid short-term traffic state p...

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Detalles Bibliográficos
Autores principales: Ma, Tian, Gong, Guanghong, Ren, Yilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423571/
https://www.ncbi.nlm.nih.gov/pubmed/34504523
http://dx.doi.org/10.1155/2021/9966382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423571/
https://www.ncbi.nlm.nih.gov/pubmed/34504523
http://dx.doi.org/10.1155/2021/9966382

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