Application of deep neural networks in detecting speed bumps and speed humps for fuel consumption optimization

The rapid expansion of urbanization and growing urban populations have led to a significant increase in the number of vehicles. This trend, particularly in the absence of comprehensive transportation planning, has resulted in higher traffic congestion and, consequently, more accidents. As such, traf...

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Bibliographic Details

Published in:	Transportation Engineering
Main Authors:	Sayyedmehdi Hosseinikhah, Hamid Mirzahossein, Mohammad Ali Asadi, Ali Naderan
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Traffic calming Speed hump Speed bump Deep neural network Fuel consumption
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666691X25000867