Author: Linda M. Pierce
Publisher:
ISBN: 9780309480482
Category : Pavements
Languages : en
Pages : 124
Book Description
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 531 documents agency practices, challenges, and successes in conducting automated pavement condition surveys. The report also includes three case examples that provide additional information on agency practices for conducting automated pavement surveys. Pavement condition data is a critical component for pavement management systems in state departments of transportation (DOTs). The data is used to establish budget needs, support asset management, select projects for maintenance and preservation, and more. Data collection technology has advanced rapidly over the last decade and many DOTs now use automated data collection systems.
Automated Pavement Condition Surveys
Author: Linda M. Pierce
Publisher:
ISBN: 9780309480482
Category : Pavements
Languages : en
Pages : 124
Book Description
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 531 documents agency practices, challenges, and successes in conducting automated pavement condition surveys. The report also includes three case examples that provide additional information on agency practices for conducting automated pavement surveys. Pavement condition data is a critical component for pavement management systems in state departments of transportation (DOTs). The data is used to establish budget needs, support asset management, select projects for maintenance and preservation, and more. Data collection technology has advanced rapidly over the last decade and many DOTs now use automated data collection systems.
Publisher:
ISBN: 9780309480482
Category : Pavements
Languages : en
Pages : 124
Book Description
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 531 documents agency practices, challenges, and successes in conducting automated pavement condition surveys. The report also includes three case examples that provide additional information on agency practices for conducting automated pavement surveys. Pavement condition data is a critical component for pavement management systems in state departments of transportation (DOTs). The data is used to establish budget needs, support asset management, select projects for maintenance and preservation, and more. Data collection technology has advanced rapidly over the last decade and many DOTs now use automated data collection systems.
Automated Pavement Condition Survey Field Manual
Author: Pennsylvania. Department of Transportation. Roadway Management Division
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 66
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 66
Book Description
A Study of Manual Vs Automated Pavement Condition Surveys
Author: Jason Michael McQueen
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 282
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 282
Book Description
Automated Pavement Distress Collection Techniques
Author: Kenneth H. McGhee
Publisher: Transportation Research Board
ISBN: 0309070120
Category : Automatic data collection systems
Languages : en
Pages : 94
Book Description
At head of title: National Cooperative Highway Research Program.
Publisher: Transportation Research Board
ISBN: 0309070120
Category : Automatic data collection systems
Languages : en
Pages : 94
Book Description
At head of title: National Cooperative Highway Research Program.
Automated Pavement Condition Survey Field Manual
Author: Pennsylvania. Department of Transportation. Bureau of Maintenance and Operations. Roadway Management Division
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 66
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 66
Book Description
Automated Pavement Condition Data Collection Quality Control, Quality Assurance, and Reliability
Author: Ghim Ping Ong
Publisher: Purdue University Press
ISBN: 9781622600731
Category : Transportation
Languages : en
Pages : 160
Book Description
In recent years, state highway agencies have come to understand the need for high quality pavement condition data at both the project and network levels. At the same time, agencies also realize that they have become too dependent on contractors to ensure the quality of the delivered data without any means to independently assure the quality of these data. This research study therefore aims to investigate the inherent variability of the automated data collection processes and proposes guidelines for an automated data collection quality management program in Indiana. In particular, pavement roughness data (in terms of IRI) and pavement surface distress data (in terms of PCR and individual pavement surface distress ratings) are considered in this study. Quality control protocols adopted by the contractor are reviewed and compared against industry standards. A complete quality control plan is recommended to be adopted for all phases of the data collection cycle: preproject phase, data collection phase, and post-processing phase. Quality assurance of pavement condition data can be viewed in terms of (i) completeness of the delivered data for pavement management; (ii) accuracy, precision and reliability of pavement roughness data; and (iii) accuracy, precision and reliability of individual distress ratings and an aggregate pavement condition rating. An innovative two-stage approach is developed in this study to evaluate delivered data for integrity and completeness. Different techniques and performance measures that can be used to evaluate pavement roughness and pavement surface distress data quality are investigated. Causes for loss in IRI and PCR accuracy and precision are identified and statistical models are developed to relate project- and network-level IRIs and PCRs. Quality assurance procedures are then developed to allow highway agencies improve their pavement condition data collection practices and enhance applications in the pavement management systems.
Publisher: Purdue University Press
ISBN: 9781622600731
Category : Transportation
Languages : en
Pages : 160
Book Description
In recent years, state highway agencies have come to understand the need for high quality pavement condition data at both the project and network levels. At the same time, agencies also realize that they have become too dependent on contractors to ensure the quality of the delivered data without any means to independently assure the quality of these data. This research study therefore aims to investigate the inherent variability of the automated data collection processes and proposes guidelines for an automated data collection quality management program in Indiana. In particular, pavement roughness data (in terms of IRI) and pavement surface distress data (in terms of PCR and individual pavement surface distress ratings) are considered in this study. Quality control protocols adopted by the contractor are reviewed and compared against industry standards. A complete quality control plan is recommended to be adopted for all phases of the data collection cycle: preproject phase, data collection phase, and post-processing phase. Quality assurance of pavement condition data can be viewed in terms of (i) completeness of the delivered data for pavement management; (ii) accuracy, precision and reliability of pavement roughness data; and (iii) accuracy, precision and reliability of individual distress ratings and an aggregate pavement condition rating. An innovative two-stage approach is developed in this study to evaluate delivered data for integrity and completeness. Different techniques and performance measures that can be used to evaluate pavement roughness and pavement surface distress data quality are investigated. Causes for loss in IRI and PCR accuracy and precision are identified and statistical models are developed to relate project- and network-level IRIs and PCRs. Quality assurance procedures are then developed to allow highway agencies improve their pavement condition data collection practices and enhance applications in the pavement management systems.
Automated Pavement Condition Survey Practices at Airports
Author: T. K. Gwin
Publisher:
ISBN: 9780309698993
Category : Airports
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780309698993
Category : Airports
Languages : en
Pages : 0
Book Description
Specifications of Automated Pavement Condition Surveys
Author: 中国工程建设标准化协会公路分会
Publisher:
ISBN: 9787114165252
Category : Pavements
Languages : en
Pages : 46
Book Description
Publisher:
ISBN: 9787114165252
Category : Pavements
Languages : en
Pages : 46
Book Description
Standard Guide for Classification of Automated Pavement Condition Survey Equipment
Evaluation and Validation of a High-speed Multi-function System for Automated Pavement Condition Survey
Author: Manjriker Gunaratne
Publisher:
ISBN:
Category : Flatness measurement
Languages : en
Pages : 282
Book Description
Publisher:
ISBN:
Category : Flatness measurement
Languages : en
Pages : 282
Book Description