Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms

Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms

Abstract Retroreflectivity is the primary metric that controls the visibility of pavement markings during nighttime and in adverse weather conditions. Maintaining the minimum level of retroreflectivity as specified by Federal Highway Administration (FHWA) is crucial to ensure safety for motorists. T...

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Bibliographic Details
Main Authors: Ipshit Ibne Idris, Momen Mousa, Marwa Hassan
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Journal of Infrastructure Preservation and Resilience
Subjects:
Pavement marking
FHWA final rule
Retroreflectivity degradation modeling
Decision tree
Artificial neural network
Online Access:https://doi.org/10.1186/s43065-024-00094-z

Internet

https://doi.org/10.1186/s43065-024-00094-z

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