Automated Machine Learning Pipeline for Traffic Count Prediction

Automated Machine Learning Pipeline for Traffic Count Prediction

Research indicates that the projection of traffic volumes is a valuable tool for traffic management. However, few studies have examined the application of a universal automated framework for car traffic volume prediction. Within this limited literature, studies using broad data sets and inclusive pr...

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Bibliographic Details
Main Authors: Amirsaman Mahdavian, Alireza Shojaei, Milad Salem, Haluk Laman, Jiann-Shiun Yuan, Amr Oloufa
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Modelling
Subjects:
machine learning
passenger vehicle traffic
traffic volume
predictive modeling
regression analysis
Online Access:https://www.mdpi.com/2673-3951/2/4/26

Internet

https://www.mdpi.com/2673-3951/2/4/26

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