A Data Driven Approach to Forecasting Traffic Speed Classes Using Extreme Gradient Boosting Algorithm and Graph Theory

Historical cities around the world have serious traffic congestions due to old infrastructure and urbanization. To mitigate traffic problems in such cities, infrastructure investments are channeled to tunnels, bridges, and highways. The solution becomes more complicated as the city centers are expec...

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Bibliographic Details

Published in:	Physica A Vol. 620; p. 128738
Main Authors:	Menguc, Kenan, Aydin, Nezir, Yilmaz, Alper
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.06.2023
Subjects:	GIS Graph theory Road investments Traffic volume prediction XGBoost GIS Traffic volume prediction Graph theory Road investments XGBoost
ISSN:	0378-4371
Online Access:	Get full text
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