Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas

With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various types of sensors may fall into different administ...

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Detalles Bibliográficos
Autores principales: Zafar, Noureen, Haq, Irfan Ul, Chughtai, Jawad-ur-Rehman, Shafiq, Omair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099662/
https://www.ncbi.nlm.nih.gov/pubmed/35591037
http://dx.doi.org/10.3390/s22093348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099662/
https://www.ncbi.nlm.nih.gov/pubmed/35591037
http://dx.doi.org/10.3390/s22093348

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