01333270

Component

https://doi.org/10.3141/2225-11

http://scholar.google.com...cura&publication_year=2011

The automated pavement condition survey is gradually replacing traditional visual surveys in many highway agencies. Incompatibilities between existing survey manuals and computer imaging technologies must be addressed to obtain maximum benefits from the new survey method. Existing survey manuals are based on the ability of human surveyors to subjectively recognize distresses by identifying crack patterns in various locations on the pavement surface. New imaging technologies provide grayscale images with precise location identification and therefore computer algorithms can be used with the imaging technologies to aid and (currently) partially replace the human. A newly developed method for the classification and quantification of flexible pavement cracks is being implemented by the California Department of Transportation to take maximum advantage of new technologies while strengthening the application of the pavement condition survey in separating cracks caused by different mechanisms. Cracks are categorized into four types by mechanism and quantified by geometrical features in images, including locations, orientations, and lengths. Subjective assessments regarding interconnectivity, pattern, and causes are eliminated. In the redesigned data flow, the automated pavement condition survey service providers perform image collection and analysis and submit objective measurements regarding geometrical features of cracking at the pavement data segment level. It is the highway agency’s task to segment the highway network into management segments and derive summary distress quantifications at the management segment level on the basis of the data segment level survey results. This arrangement enables service providers to handle objective measurements and the associated constant technological innovation and gives the agency the flexibility to apply pavement engineering and management principles.

01359897

11-3108

English

pp 99-108

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167512

Print

Figures (4) ; References (23)

Automatic data collection systems; Condition surveys; Data collection; Flexible pavements; Pavement cracking; Pavement distress; Pavement management systems

Imaging systems

California

Highways; Maintenance and Preservation; Pavements; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Feb 17 2011 6:24PM

• Accelerated Pavement Testing and Gradation-Based Performance Evaluation Method
• Axle Load Power for Pavement Fatigue Cracking: Empirical Estimation and Policy Implications
• Data Collection to Support Implementation of the Mechanistic–Empirical Pavement Design Guide for County Roads
• Development and Validation of Pavement Performance Models for the State of Maryland
• Dynamic Programming and Connected Component Analysis for an Enhanced Pavement Distress Segmentation Algorithm
• Economic Benefits Assessment of Accelerated Pavement Testing Research in California: Case Study
• Evaluating the Benefits of Accelerated Pavement Testing: Techniques and Case Studies
• Impact of Pavement Monitoring Frequency on Pavement Management System Decisions
• Integrated Maintenance and Expansion Planning for Transportation Network Infrastructure
• Linear Mixed-Effects Models for Preliminary Analysis of Flexible Pavement Serviceability Index Data
• Pavement Shear Strain Response to Dual and Wide-Base Tires
• Performance Modeling of Infrastructure Condition Data with Maintenance Intervention
• Shift Factors for Asphalt Fatigue from Full-Scale Testing
• Simplified Model of Road-User Costs for Portuguese Highways
• System for Rating Materials-Related Distress of Concrete Airfield Pavements
• Use of Analytic Hierarchy Process to Prioritize Network-Level Maintenance of Pavement Segments with Multiple Distresses