National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data
Само за регистроване кориснике
2004
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 s...ampling 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.
Извор:
Pavement Management, Monitoring, Evaluation, and Data Storage 2004, 2004, 1889, 106-115Издавач:
- Transportation Research Board Natl Research Council, Washington
DOI: 10.3141/1889-12
ISSN: 0361-1981
WoS: 000227657600012
Scopus: 2-s2.0-16244413970
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Selezneva, O AU - Mladenović, Goran M. AU - Speir, R AU - Amenta, J AU - Kennedy, J PY - 2004 UR - https://machinery.mas.bg.ac.rs/handle/123456789/459 AB - 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. PB - Transportation Research Board Natl Research Council, Washington T2 - Pavement Management, Monitoring, Evaluation, and Data Storage 2004 T1 - National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data EP - 115 IS - 1889 SP - 106 DO - 10.3141/1889-12 ER -
@article{ author = "Selezneva, O and Mladenović, Goran M. and Speir, R and Amenta, J and Kennedy, J", year = "2004", abstract = "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.", publisher = "Transportation Research Board Natl Research Council, Washington", journal = "Pavement Management, Monitoring, Evaluation, and Data Storage 2004", title = "National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data", pages = "115-106", number = "1889", doi = "10.3141/1889-12" }
Selezneva, O., Mladenović, G. M., Speir, R., Amenta, J.,& Kennedy, J.. (2004). National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data. in Pavement Management, Monitoring, Evaluation, and Data Storage 2004 Transportation Research Board Natl Research Council, Washington.(1889), 106-115. https://doi.org/10.3141/1889-12
Selezneva O, Mladenović GM, Speir R, Amenta J, Kennedy J. National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data. in Pavement Management, Monitoring, Evaluation, and Data Storage 2004. 2004;(1889):106-115. doi:10.3141/1889-12 .
Selezneva, O, Mladenović, Goran M., Speir, R, Amenta, J, Kennedy, J, "National park service road inventory program - Quality assurance sampling considerations for automated collection and processing of distress data" in Pavement Management, Monitoring, Evaluation, and Data Storage 2004, no. 1889 (2004):106-115, https://doi.org/10.3141/1889-12 . .