National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

Rights & Permissions

topleft topright

NCHRP Synthesis 401: Quality Management of Pavement Condition Data Collection (2009)
National Cooperative Highway Research Program Synthesis Program (NCHRPSYN)

Citation Manager

Flintsch, Gerardo W, McGhee, Kevin Kenneth, Transportation Research Board. "Summary." NCHRP Synthesis 401: Quality Management of Pavement Condition Data Collection. Washington, DC: The National Academies Press, 2009.

Please select a format:

BibTeX EndNote RefMan


Page
42
bottomleft bottomright
Page
42
Front Matter (R1-R9)
Summary (1-4)
Scope and Organization (5-5)
Background (6-9)
In-House versus Service Provider Collected Data (10-12)
Issues Associated with Location Referencing (13-14)
Pavement Condition Indicators (15-15)
Time-History Data Collection Issues (16-16)
New Demands Imposed by Changing Business Practices (17-17)
Summary (18-19)
Background on Quality Management Concepts and Processes (20-20)
Quality Management Plans (21-21)
Data Management Activities (22-22)
Reference Values/Ground Truth (23-23)
Sources of Variability in Pavement Condition Data Collection (24-26)
Effects of Network Size on Quality Management (27-28)
Summary (29-29)
Quality Control (30-36)
Quality Acceptance (37-40)
Independent Verification (41-41)
Summary (42-42)
Maryland (43-44)
Virginia (45-46)
Oklahoma (47-47)
British Columbia (48-48)
Summary (49-50)
Summary of Findings (51-52)
Issues Identified (53-53)
Suggestions for Future Research (54-54)
Glossary (55-56)
References (57-60)
Appendix A - State and Provincial Agency Survey Questionnaire (61-71)
Appendix B - Service Providers Survey Questionnaire (72-76)
Appendix C - Tabular Results of the State and Provincial Agency Survey (77-103)
Appendix D - Example of Pavement Condition Data Collection Request for Proposal - Louisiana Department of Transportation and Development (104-132)
Appendix E - Example of Pavement Condition Data Collection Request for Proposal (Oklahoma DOT) (133-144)
Abbreviations used without definitions in TRB publications (145-145)

Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 42
42 in the number of pavement segments identified as requiring chapter, the distinction between quality control and accep- treatment and a large reduction in the estimated budgetary tance activities depends on how the activities are incorpo- requirements (51). Although this is only a single case, it indi- rated into the management plan, rather than the activities cates that third-party verification of data may be a cost-effective themselves. quality management tool. The techniques and approaches used for the verification are typically very similar to those applied The purpose of the quality control plan is to quantify the for the quality acceptance. A sample (e.g., 5% to 10%) of the variability in the process, maintain it within acceptable limits, data is typically subjected to the independent verification. identify the source of variability that can be controlled, and take the necessary production adjustments to minimize the "controllable" variability. A large percentage of the respon- DATA REJECTION dents (64%) have a formal data collection quality control In general, the amount of data that has to be corrected because plan or require the service provider to develop such a plan. A of errors detected during the quality assurance process is rela- comprehensive quality control plan typically includes clear tively small. More than half of the agencies (52%) reported that delineation of the responsibilities, documented manuals and less than 2% of the data need to be corrected or resubmitted procedures, personnel training, equipment and/or process cal- by the service provider, and 39% reported having to correct ibration, certification and inspection, verification procedures 2% to 5% and only 8% (two agencies) reported having to before starting and during production testing (e.g., using con- reevaluate or correct 6% or more. This result is consistent trol sites), and checks for data reasonableness, consistency, with the responses indicated that, in general, outsourcing of the and completeness. data collection with appropriate quality acceptance procedures has been beneficial for pavement management practices. Quality acceptance activities include all procedures used for acceptance testing of both the pavement condition data Although there does not appear to be a clear connection that are collected by the agency and those that are collected between network size and amount of rejected data, states with by a service provider. These tests validate that the data meet larger networks generally reported a data rejection rate of the established requirements before they are used to sup- less than 2%, whereas agencies with smaller networks showed port pavement management decisions. Approximately half more variation. Nearly all agencies reported a data rejection of the agencies that responded to this question have a formal rate of less than 5%. Agencies with a formalized quality man- pavement condition data quality acceptance plan. Quality agement plan appear to reject less data. This is expected management techniques commonly used for this purpose because a formalized quality management plan would clarify include testing of control and verification sites, sampling data acceptance procedures to all parties and data collec- and re-rating, complete database checks, GIS-based quality tion teams would most likely follow the quality control pro- acceptance checks, and time-history comparisons. Impor- cedures and would not submit data that would not meet the tant aspects for the testing of control and verification sites known standards. include establishing the acceptance criteria and the size of the sample required. SUMMARY In some cases, agencies also use an independent verifica- This chapter covered the main quality control, quality accep- tion by a third party to resurvey or reevaluate a sample of the tance, and independent assurance principles and techniques data. The techniques and approaches used for the independent currently being followed by transportation agencies for pave- verification are typically similar to those applied for the quality ment condition data collection. As discussed in the previous acceptance.