National Academies Press: OpenBook
« Previous: Chapter 5 - Summary of Findings
Page 77
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Data Collection and Quality Management for Pavement Condition Reporting. Washington, DC: The National Academies Press. doi: 10.17226/26717.
×
Page 77
Page 78
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Data Collection and Quality Management for Pavement Condition Reporting. Washington, DC: The National Academies Press. doi: 10.17226/26717.
×
Page 78
Page 79
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Data Collection and Quality Management for Pavement Condition Reporting. Washington, DC: The National Academies Press. doi: 10.17226/26717.
×
Page 79
Page 80
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Automated Data Collection and Quality Management for Pavement Condition Reporting. Washington, DC: The National Academies Press. doi: 10.17226/26717.
×
Page 80

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

77   AASHTO. 2006. Standard Practice for Definition of Terms Related to Quality and Statistics as Used in Highway Construction. AASHTO R 10-06. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2013a. Standard Practice for Determining Rut Depth in Pavements. AASHTO R 48-10. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2013b. Standard Practice for Quantifying Cracks in Asphalt Pavement Surface. AASHTO R 55-09. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2017a. Standard Practice for Collecting the Transverse Pavement Profile. AASHTO PP 70-14. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2017b. Standard Practice for Determining Pavement Deformation Parameters and Cross Slope from Col- lected Transverse Profiles. AASHTO PP 69-14. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018a. Standard Equipment Specification for Inertial Profiler. AASHTO M 328-14. American Associa- tion of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018b. Standard Practice for Certification of Inertial Profiling System. AASHTO R 56-14. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018c. Standard Practice for Collecting Images of Pavement Surfaces for Distress Detection. AASHTO R 86-18. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018d. Standard Practice for Collecting the Transverse Pavement Profile. AASHTO R 88-18. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018e. Standard Practice for Determining Pavement Deformation Parameters and Cross Slope from Collected Transverse Profiles. AASHTO R 87-18. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018f. Standard Practice for Operating Inertial Profiling Systems. AASHTO R 57-14. American Asso- ciation of State Highway and Transportation Officials, Washington, DC. AASHTO. 2018g. Standard Practice for Quantifying Cracks in Asphalt Pavement Surfaces from Collected Pave- ment Images Utilizing Automated Methods. AASHTO R 85-18. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2021a. Standard Practice for Evaluating Faulting of Concrete Pavements. AASHTO R 36-21. American Association of State Highway and Transportation Officials, Washington, DC. AASHTO. 2021b Standard Practice for Quantifying Roughness of Pavements. AASHTO R 43-13. American Asso- ciation of State Highway and Transportation Officials, Washington, DC. AASHTO. 2021c. Standard Specification for File Format of Two-Dimensional and Three-Dimensional (2D/3D) Pavement Image Data. AASHTO MP 47. American Association of State Highway and Transportation Offi- cials, Washington, DC. Alabama Department of Transportation. 2018. Data Quality Management Plan. Montgomery, AL. Alaska Department of Transportation and Public Facilities. 2018. Highway Distress Data Collection Quality Man- agement Plan. Juneau, AK. Arizona Department of Transportation. 2018. Network-Level Pavement Condition Data Quality Management Program. Phoenix, AZ. Arkansas Department of Transportation. 2018. Pavement Performance Data Quality Management Program. Little Rock, AR. ASTM. 2012. Standard Terminology Relating to Vehicle-Pavement Systems. ASTM E867-06. ASTM International, West Conshohocken, PA. References

78 Automated Data Collection and Quality Management for Pavement Condition Reporting ASTM. 2015. Standard Practice for Calculating Pavement Macrotexture Mean Profile Depth. ASTM E1845-15. ASTM International, West Conshohocken, PA. ASTM. 2016. Standard Guide for Classification of Automated Pavement Condition Survey Equipment. ASTM E1656-11. West Conshohocken, PA. ASTM. 2018. Standard Test Method for Measuring the Longitudinal Profile of Traveled Surfaces with an Accelerometer-Established Inertial Profiling Reference. ASTM E950-09. West Conshohocken, PA. ASTM. 2019. Standard Practice for Computing Ride Number of Roads from Longitudinal Profile Measurements Made by an Inertial Profile Measuring Device. ASTM E1489-08. ASTM International, West Conshohocken, PA. ASTM. 2020. Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. ASTM D6433-20. West Conshohocken, PA. ASTM. 2021a. Standard Practice for Computing International Roughness Index of Roads from Longitudinal Profile Measurements. ASTM E1926-08. ASTM International, West Conshohocken, PA. ASTM. 2021b. Standard Practice for Generating Pavement Surface Cracking Indices from Digital Images. ASTM E3303-21. West Conshohocken, PA. ASTM. n.d. New Specification for Generating Pavement Condition Indices from Digital Images. ASTM WK66179. Proposed New Standard. West Conshohocken, PA. California Department of Transportation. 2018. Pavement Condition Survey Data Quality Management Plan. Sacramento, CA. Chan, S., S. Cui, and S. Lee. 2016. Transition from Manual to Automated Pavement Distress Data Collection and Performance Modelling in the Pavement Management System. Presented at Innovations in Pavement Man- agement, Engineering and Technologies, 2016 Conference of the Transportation Association of Canada, Toronto, ON. Connecticut Department of Transportation. 2018. Network-Level Pavement Condition Data Collection Quality Management Plan. Newington, CT. Delaware Department of Transportation. 2018. Pavement Distress Data Quality Management Plan. Dover, DE. District Department of Transportation. 2019. Data Quality Management Plan for Pavement Condition Data Collection. Washington, DC. FHWA. 2018a. Guidelines for Development and Approval of State Data Quality Management Programs. Wash- ington, DC. FHWA. 2018b. Highway Performance Monitoring System Field Manual. Washington, DC. Florida Department of Transportation. 2018. Data Quality Management Plan for Pavement Condition Data Collection. Tallahassee, FL. GASB. 1999. Basic Financial Statements—and Management’s Discussion and Analysis—for State and Local Governments. Norwalk, CT. Accessed October 15, 2021. https://www.gasb.org/jsp/GASB/Document_C/ DocumentPage?cid=1176160029121&acceptedDisclaimer=true. GASB. 2020. Governmental Accounting Standards Board. Accessed October 15, 2021. https://www.gasb.org/ home. Georgia Department of Transportation. 2018. Data Quality Management Program Videolog and Pavement Con- dition Data. Atlanta, GA. Hawaii Department of Transportation. 2019. Management Plan for Quality Pavement Condition Data. Honolulu, HI. ITD (Idaho Transportation Department). 2019. Transportation Asset Management Plan. Boise, ID. Illinois Department of Transportation. 2018. National Performance Management Measures Data Quality Man- agement Program. Springfield, IL. Indiana Department of Transportation. 2019. Pavement Condition Data Quality Management Plan. Indianapolis, IN. Iowa Department of Transportation. 2018. Pavement Condition Data Quality Management Plan. Ames, IA. Jia, X., M. Woods, H. Gong, W. Hu, B. Huang, and B. Faraj. 2019. Utilization of State Performance Indices to Cor- relate National Performance Measures for Asphalt Pavements in Tennessee. Transportation Research Record: Journal of the Transportation Research Board, No. 2673, pp. 379–388. Larsen, D. A., A. Bernier, and J. Mahoney. 2020. Annual Pavement Report. Connecticut Department of Trans- portation, Hartford, CT. Accessed October 15, 2021. https://portal.ct.gov/-/media/DOT/documents/ dpavement/Connecticut-DOT-Annual-Pavement-Report_2019.pdf. Maine Department of Transportation. 2018. Pavement Condition Data Quality Management Plan. Augusta, ME. Maryland Department of Transportation. 2018. Pavement Data Quality Management Program. Hanover, MD. Massachusetts Department of Transportation. 2018. Network Level Pavement Condition Data Quality Manage- ment Plan. Boston, MA. Michigan Department of Transportation. 2018. Data Quality Management Plan for Pavement Surface Condition Metric Data. Lansing, MI. Miller, J. S., and W. Y. Bellinger. 2014. Distress Identification Manual for the Long-Term Pavement Performance Pro- gram (Fifth Revised Edition). Report No. FHWA-HRT-13-092. Federal Highway Administration, McLean, VA.

References 79   Minnesota Department of Transportation. 2018. Pavement Data Quality Management Plan. Maplewood, MN. Mississippi Department of Transportation. 2019. Data Quality Management Plan. Jackson, MS. Missouri Department of Transportation. 2018. Network-Level Pavement Condition Data Collection Quality Man- agement Plan. Jefferson City, MO. Mok, H. T., and R. E. Smith. 1997. Prediction of Highway Performance Monitoring System’s Present Service- ability Rating for Local Agencies Using San Francisco Bay Area Pavement Management System. Transportation Research Record, No. 1592, pp. 107–115. Montana Department of Transportation. 2018. Network-Level Pavement Condition Data Collection Quality Man- agement Plan. Helena, MT. Nebraska Department of Transportation. 2018. Data Quality Management Program for the Collection of Pave- ment Condition. Lincoln, NE. Nevada Department of Transportation. 2018. Pavement Data Quality Management Plan. Carson City, NV. New Hampshire Department of Transportation. 2019. Pavement Data Quality Management Program. Concord, NH. New Jersey Department of Transportation. 2019. Pavement Data Collection Data Quality Management Programs. Trenton, NJ. New Mexico Department of Transportation. 2018. Pavement Distress Data Quality Management Programs. Santa Fe, NM. New York State Department of Transportation. 2018. Quality Management Plan for Pavement Condition Data Collection. Albany, NY. North Carolina Department of Transportation. 2018. Network-Level Pavement Condition Data Collection Quality Management Plan. Raleigh, NC. North Dakota Department of Transportation. 2018. Network-Level Pavement Condition Data Collection Quality Management Plan. Bismarck, ND. Ohio Department of Transportation. 2018. Data Quality Management Plan. Columbus, OH. Oklahoma Department of Transportation. 2018. Pavement Performance Data Quality Management Program. Oklahoma City, OK. Oregon Department of Transportation. 2018. Data Quality Management Plan for Pavement Condition National Highway Performance Program. Salem, OR. PB Consult, Inc. (PBC), PricewaterhouseCoopers, LLP, Cambridge Systematics, Inc., and NuStats, Inc. 2004. NCHRP Report 522: A Review of DOT Compliance With GASB 34 Requirements. Transportation Research Board of the National Academies, Washington, DC. Pennsylvania Department of Transportation. 2018. Data Quality Management Program. Harrisburg, PA. Pierce, L. M., and N. D. Weitzel. 2019. NCHRP Synthesis 531: Automated Pavement Condition Surveys. Transpor- tation Research Board, Washington, DC. Puerto Rico Department of Transportation and Public Works. 2019. Pavement Management System Procedures. San Juan, PR. Rhode Island Department of Transportation. 2018. Data Quality Management Plan for Pavement Condition Data. Providence, RI. Rodriguez, L., T. Van, and M. Grogg. 2017. MAP 21: Rulemaking and Asset Condition. Presented at the Virginia Asphalt Association Conference, Richmond, VA. https://virginiadot.org/VDOT/Business/asset_upload_ file871_3638.pdf Sivaneswaran, N., L. M. Pierce, and J. P. Mahoney. 2004. Transition from Manual to Automated Pavement Condition Surveys: Washington State’s Experience. Proceedings of the Sixth International Conference on Managing Pavements, Brisbane, Australia. South Carolina Department of Transportation. 2018. Pavement Management Data Quality Management Plan. Columbia, SC. South Dakota Department of Transportation. 2018. Quality Management Plan for Network Level Pavement Condition Data Collection. Pierre, SD. Tennessee Department of Transportation. 2018. Guidelines on Quality Management of Pavement Condition Data. Nashville, TN. Texas Department of Transportation. 2018. Quality Management Plan for Pavement Data Collection. Austin, TX. Thyagarajan, S., N. Sivaneswaran, and C. Poon-Atkins. 2021. Present Serviceability Rating Computation from Reported Distresses. FHWA-HRT-21-04. Turner–Fairbank Highway Research Center, FHWA, McLean, VA. Timm, D. H., and J. M. McQueen. 2004. A Study of Manual vs. Automated Pavement Condition Surveys. Report No. IR-04-01. Alabama Department of Transportation, Montgomery, AL. Utah Department of Transportation. 2018. Management Plan for Pavement Condition Data. Taylorsville, UT. Utah Department of Transportation. n.d. Statewide Condition. UDOT Pavement Information. Accessed October 15, 2021. https://sites.google.com/utah.gov/pavementmanagement/statewide-condition.

80 Automated Data Collection and Quality Management for Pavement Condition Reporting Vavrik, W., L. Evans, J. Stefanski, and S. Sargand. 2013. PCR Evaluation—Considering Transition from Manual to Semi Automated Pavement Distress Collection. Ohio Department of Transportation, Columbus, OH. Vermont Agency of Transportation. 2018. Pavement Condition Data Collection Quality Management Plan. Barre, VT. Washington State Department of Transportation. 2018. Pavement Condition Data Collection Quality Manage- ment Plan. Olympia, WA. West Virginia Department of Transportation. 2019. Pavement Condition Data Quality Management Plan. Charleston, WV. Wisconsin Department of Transportation. 2018. Pavement Data Quality Management Plan. Madison, WI.

Next: Glossary »
Automated Data Collection and Quality Management for Pavement Condition Reporting Get This Book
×
 Automated Data Collection and Quality Management for Pavement Condition Reporting
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

Automated collection of pavement data allows agencies to collect data on pavement health, including cracking, rutting, faulting, and roughness, at highway speeds. This provides important information for better pavement decision-making.

The TRB National Cooperative Highway Research Program's NCHRP Synthesis 589: Automated Data Collection and Quality Management for Pavement Condition Reporting documents the experiences, challenges, and state-of-the-practice solutions used by state departments of transportation that are in the midst of transition or that have transitioned to automated and semiautomated processes for collecting pavement data. It also summarizes the data for state and federal reporting requirements, such as Transportation Asset Management Plans and MAP-21.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  6. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  7. ×

    View our suggested citation for this chapter.

    « Back Next »
  8. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!