00983416

Component

https://doi.org/10.3141/1889-12

http://scholar.google.com...nedy&publication_year=2004

The National Park Service Road Inventory Program (RIP) uses automated collection and processing of pavement-condition data. The study examines various approaches to quality assurance (QA) sampling used to evaluate those data. The RIP includes automated collection and processing of pavement-condition and roadside-inventory-feature data at 258 national parks, covering over 5,000 mi of paved roads. Evaluating the quality of some data elements requires manual data assessment conducted by trained data analysts. Because of the high volume of the collected and processed data, it is economically impractical to check quality of all data manually. To overcome this difficulty, a search for an appropriate QA data sampling methodology was conducted. The goal of the investigation was to determine appropriate statistical procedures and required sample sizes so that conclusions based on QA sample testing could be extrapolated to the whole data set with a certain level of confidence. Evaluation of QA sampling approaches, including the selection of statistical procedures for QA testing, determination of QA sample sizes, and development of the procedures for evaluating the QA testing results applicable to the RIP, is presented. The results will be of interest to practitioners involved in automated collection of pavement data and to researchers involved in the design of statistical testing procedures for engineering QA applications.

This paper appears in Transportation Research Record No. 1889, Pavement Management, Monitoring, Evaluation, and Data Storage 2004.

00983404

English

p. 106-115

2004

Transportation Research Record

0309094844

Figures (1) ; References (6) ; Tables (4)

Automatic data collection systems; Information processing; National parks; Pavement distress; Pavements; Quality assurance; Roadside; Statistical sampling

National Park Service Road Inventory Program

Data sampling

Data and Information Technology; Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Dec 27 2004 12:00AM

• AIRFIELD PAVEMENT CONDITION ASSESSMENT
• ASSESSMENT OF AASHTO PROVISIONAL STANDARDS FOR PROFILE DATA COLLECTION AND INTERPRETATION
• ASSESSMENT OF IMAGE-BASED DATA COLLECTION AND THE AASHTO PROVISIONAL STANDARD FOR CRACKING ON ASPHALT-SURFACED PAVEMENTS
• BENEFITS OF INFORMATION INTEGRATION IN BUDGET PLANNING FOR PAVEMENT MANAGEMENT
• COLLECTING AND INTERPRETING LONG-TERM PAVEMENT PERFORMANCE PHOTOGRAPHIC DISTRESS DATA: QUALITY CONTROL-QUALITY ASSURANCE PROCESSES
• CORRECTION CURVES TO MODIFY ALGEBRAICALLY AGGREGATED DEDUCTIONS FOR JOINTED CONCRETE PAVEMENTS IN VIRGINIA
• EFFECTS OF AIRPORT PAVEMENT-PROFILE WAVELENGTH ON AIRCRAFT VERTICAL RESPONSES
• EFFECTS OF VARIATION IN QUARTER-CAR SIMULATION SPEED ON INTERNATIONAL ROUGHNESS INDEX ALGORITHM
• INFRARED THERMOGRAPHY FOR ASPHALT CRACK IMAGING AND AUTOMATED DETECTION
• INTEGRATION OF RAMPS INTO PAVEMENT MANAGEMENT SYSTEMS
• ISSUES IN INTEGRATING PAVEMENT MANAGEMENT AND PREVENTIVE MAINTENANCE
• MULTIYEAR PAVEMENT-REHABILITATION PLANNING ENABLED BY GEOGRAPHIC INFORMATION SYSTEM: NETWORK ANALYSES LINKED TO PROJECTS
• PAVEMENT-DISTRESS DATA COLLECTION SYSTEM BASED ON MOBILE GEOGRAPHIC INFORMATION SYSTEM
• USING PAVEMENT-MANAGEMENT SYSTEM DATA TO EVALUATE BENEFITS FROM DESIGN AND CONSTRUCTION IMPROVEMENTS
• WASHINGTON STATE'S WEB-ENABLED PAVEMENT-MANAGEMENT SYSTEM