Multi-Asset Defect Hotspot Prediction for Highway Maintenance Management: A Risk-Based Machine Learning Approach
Transportation agencies constantly strive to tackle the challenge of limited budgets and
continuously deteriorating highway infrastructure. They look for optimal solutions to make …
continuously deteriorating highway infrastructure. They look for optimal solutions to make …
Optimal clustering of pavement segments using K-prototype algorithm in a high-dimensional mixed feature space
The efficiency of pavement lifecycle planning highly depends on the accuracy of condition
predictions. Therefore, transportation agencies strive to maximize the impact of the limited …
predictions. Therefore, transportation agencies strive to maximize the impact of the limited …
Prediction of Defect Hotspots for Highway Maintenance Management: a Multi-Asset Machine Learning Approach
A Karimzadeh - 2020 - search.proquest.com
Given multiple budget and revenue constraints that the transportation sector encounters,
predictive analytics enables maintenance agencies to make effective decisions, prioritize …
predictive analytics enables maintenance agencies to make effective decisions, prioritize …
Multi-asset Risk-based Hotspot Analysis for Roadway Deteriorations
• Most of the US interstate highways have passed or will exceed their design life in the next
20 years and need preservations.• DOTs are always on the look for the optimal solutions that …
20 years and need preservations.• DOTs are always on the look for the optimal solutions that …