Traffic speed prediction techniques in urban environments

The present study developed Multiple Linear Regression (MLR) and machine learning (ML) models, including Artificial Neural Network (ANN), Support Vector Machine (SVM), and Random Forest (RF), to predict the mean free-flow speed (FFS) using several geometric, traffic, and pavement condition variables...

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Detalles Bibliográficos
Autores principales: Alomari, Ahmad H., Khedaywi, Taisir S., Marian, Abdel Rahman O., Jadah, Asalah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732136/
https://www.ncbi.nlm.nih.gov/pubmed/36506368
http://dx.doi.org/10.1016/j.heliyon.2022.e11847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732136/
https://www.ncbi.nlm.nih.gov/pubmed/36506368
http://dx.doi.org/10.1016/j.heliyon.2022.e11847

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