Advancing infrastructure resilience: machine learning-based prediction of bridges’ rating factors under autonomous truck platoons

Advancing infrastructure resilience: machine learning-based prediction of bridges’ rating factors under autonomous truck platoons

Abstract The operational characteristics of freight shipment will significantly change after the implementation of Autonomous and Connected Trucks (ACT). This change will have a significant impact on freight mobility, transportation safety, and the sustainability of infrastructure. Truck platooning...

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Bibliographic Details
Main Authors: Mohamed T. Elshazli, Dina Hussein, Ganapati Bhat, Ahmed Abdel-Rahim, Ahmed Ibrahim
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Journal of Infrastructure Preservation and Resilience
Subjects:
Bridge
Platoon
Autonomous
Machine learning
Random forest
Load rating
Online Access:https://doi.org/10.1186/s43065-024-00096-x

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