01519190

Component

https://doi.org/10.3141/2455-10

The paper documents part of the initial engineering configuration of the new California pavement management system, known as PaveM. This paper examines the aggregation of flexible pavement cracking data from the automated pavement condition survey to network management sections and the combination of these measurements into condition variables, along with the decision tree that is used to determine treatments. The performance models used to predict condition are detailed, along with the statistical methodology used to develop them. The paper discusses some of the pitfalls of using highly detailed survey data, along with the benefits, and the lessons learned in the process.

01555808

14-5403

English

pp 89–97

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295482

Print

Figures (4) ; References (15) ; Tables (5)

Automation; Condition surveys; Data collection; Decision trees; Flexible pavements; Pavement distress; Pavement management systems

California

Highways; Maintenance and Preservation; Pavements; I60: Maintenance

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:53PM

• Calibration and Validation of Condition Indicator for Managing Urban Pavement Networks
• Considering Safety Impacts of Skid Resistance in Decision-Making Processes for Pavement Management
• Estimating Vehicle Operating Costs Caused by Pavement Surface Conditions
• Florida’s Return on Investment from Pavement Research and Development
• Investigating Consistency in Highway Performance Monitoring System and Pavement Management Reporting
• Probabilistic Life-Cycle Assessment as Network-Level Evaluation Tool for Use and Maintenance Phases of Pavements
• Safety Impact of Pavement Conditions
• Use of Finite Element Analysis and Fatigue Failure Model to Estimate Costs of Pavement Damage Caused by Heavy Vehicles
• Use of System Dynamics to Understand Long-Term Impact of Climate Change on Pavement Performance and Maintenance Cost