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Technical Report Documentation Page 1. Report No.
2. Government Accession No.
3. Recipients Catalog No.
4. Title and Subtitle Practical Guide for Quality Management of Pavement Condition Data Collection
5. Report Date February 2013
6. Performing Organization Code
7. Authors Linda M. Pierce, Ginger McGovern, and Kathryn A. Zimmerman
8. Performing Organization Report No.
9. Performing Organization Name and Address Applied Pavement Technology, Inc. 115 W. Main Street, Suite 400 Urbana, IL 61801
10. Work Unit No. (TRAIS)
11. Contract or Grant No. DTFH61-07-D-00028
12. Sponsoring Agency Name and Address U.S. Department of Transportation Federal Highway Administration 1200 New Jersey Avenue, SE Washington, DC 20590
13. Type of Report and Period Covered Final Document October 2011 to February 2013
14. Spons oring Age ncy Code
15. Supplementary Notes FHWA COTR: Thomas Van
16. Abstract An effective pavement management system depends on reliable, accurate, and complete information. Having quality pavement management data is directly linked to the ability of the pavement management system to contribute to the development of reasonable and reliable recommendations and decisions regarding an agencys pavement network. Pavement condition data are one of the key components of a pavement management system. Pavement condition data are used to model pavement performance, to trigger various actions ranging from maintenance to rehabilitation to reconstruction, to evaluate program effectiveness, and to satisfy many other purposes. While there are many different methodologies used for assessing pavement condition, ranging from manual surveys to fully automated procedures, the need for quality data remains the same. Agencies take a number of steps to ensure and verify data quality, including calibration of the data collection equipment or the inspection teams, incorporating quality control sections that are reinspected to assess repeatability, and verifying reasonableness and completeness of the pavement condition survey. The ability to evaluate and determine the quality of pavement condition data is essential for establishing the accuracy and reliability of analyses made using pavement condition The Federal Highway Administration (FHWA) sponsored the development of a Practical Guide on Quality Management Procedures for network-level pavement condition data. The Practical Guide provides information related to the development and implementation of a QM program, incorporating proven QM practices, and showcasing examples or case studies using pavement condition data from a variety of state DOTs.
Key Words Pavement management, pavement condition assessment, quality management, quality control, quality assurance, quality acceptance.
18. Distribution Statement No restrictions.
19. Security Classif. (of this report) Unclassified
20. Security Classif. (of this page) Unclassified
21.No of Pages 170
22. Price N/A
Form DOT F 1700.7 (8-72) Reproduction of completed page authorized
Practical Guide for Quality Management of Pavement Condition Data Collection
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TABLE OF CONTENTS
Executive Summary ..................................................................................................................... ix 1. Introduction ........................................................................................................................... 1
Purpose................................................................................................................................... 1 Background ............................................................................................................................ 1 Scope ...................................................................................................................................... 2 Audience ................................................................................................................................ 3 Document Organization ......................................................................................................... 3 How to Use This Guide ......................................................................................................... 4 Related Documents ................................................................................................................ 5
2. Location Referencing System ............................................................................................... 6 Introduction ............................................................................................................................ 6 Importance of Location Referencing Systems ....................................................................... 6 Characteristics of a Location Referencing System ................................................................ 6 Types of Referencing Methods .............................................................................................. 7
3. Network-Level Condition Data Collection ........................................................................ 11 Introduction .......................................................................................................................... 11 Data Collection Overview ................................................................................................... 11 Data Uses ............................................................................................................................. 12 Survey Types and Technology ............................................................................................ 13 Data Items Collected ............................................................................................................ 16
4. Principles of Data Quality Management ........................................................................... 28 Introduction .......................................................................................................................... 28 Principles and Terminology ................................................................................................. 28 Definitions ........................................................................................................................... 29 The Benefits of a Data Quality Management Program ........................................................ 30 Data Quality Management Cycle ......................................................................................... 31 Maintaining the Data Quality Management Process ........................................................... 31 Cost-Effectiveness of Data Quality Management Procedures ............................................. 32
5. Data Quality Management Plan ......................................................................................... 34 Introduction .......................................................................................................................... 34 Importance of a Data Quality Management Plan................................................................. 34 Quality Management Plan for Data Collection.................................................................... 35
6. Data Quality Standards and Acceptance Criteria ............................................................ 39 Introduction .......................................................................................................................... 39 Resolution, Accuracy, and Repeatability ............................................................................. 40 Reference Values ................................................................................................................. 41 Data Variability.................................................................................................................... 43 Statistical Analysis ............................................................................................................... 44 Acceptance Criteria.............................................................................................................. 44
