Selection of Potential Regions for the Creation of Intelligent Transportation Systems Based on the Machine Learning Algorithm Random Forest

Selection of Potential Regions for the Creation of Intelligent Transportation Systems Based on the Machine Learning Algorithm Random Forest

The planning and management of traffic flow networks with multiple input data sources for decision-making generate the need for a mathematical approach. The program of measures for the development of the transport infrastructure of the Russian Federation provides for the selection of pilot regions f...

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Bibliographic Details
Main Authors: Aleksey I. Shinkevich, Tatyana V. Malysheva, Irina G. Ershova
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
intelligent transportation system
regions
classification analysis
machine learning algorithms
random forest
bagging
Online Access:https://www.mdpi.com/2076-3417/13/6/4024

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