Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data

Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect public safety. It is helpful for traffic operation and management to predict the duration of traffic incidents. Most of the previous studies have been in a certain area with a single data source. This paper...

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Detalles Bibliográficos
Autores principales: Shang, Qiang, Xie, Tian, Yu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518162/
https://www.ncbi.nlm.nih.gov/pubmed/36078617
http://dx.doi.org/10.3390/ijerph191710903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518162/
https://www.ncbi.nlm.nih.gov/pubmed/36078617
http://dx.doi.org/10.3390/ijerph191710903

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