Incorporating the Effectiveness of Preservation and Rehabilitation Techniques on Flexible Pavement Service Life Predictions Using Machine Learning Approach

A flexible pavement network may be exposed to traffic changes over time because of detours that may cause unusually high traffic loading on some parts of the pavement sections. Such sections, therefore, need to be preserved earlier than their expected service life. This study focuses on incorporating the effectiveness of preservation and rehabilitation techniques, e.g., functional thin overlay and structural asphalt overlay on flexible pavement service life predictions using a machine learning approach. The developed models are capable of estimating the current and future international roughness index (IRI) and of detecting performance recovery after application of preservation treatment, thereby forecasting the remaining service life. The traffic, pavement structural, and performance data were obtained from the pavement management information system (PMIS) of the Iowa Department of Transportation (DOT). This study describes realistic what-if scenarios considering various treatment techniques to provide a better understanding of the effectiveness of treatments on extending flexible pavement service life. Such outcomes will help facilitate better pavement preservation management strategies.

• Record URL:
  https://doi.org/10.1061/9780784483510.033
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483510
• Supplemental Notes:
  • © 2021 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Citir, Nazik
  • Ceylan, Halil
  • Kim, Sunghwan
  • Kaya, Orhan
• Conference:
  • International Airfield and Highway Pavements Conference 2021
  • Date: 2021-6-8 to 2021-6-10
• Publication Date: 2021

Language

• English

Media Info

• Pagination: pp 365 - 377
• Monograph Title: Airfield and Highway Pavements 2021: Pavement Materials and Sustainability

Subject/Index Terms

• TRT Terms: Data collection; Flexible pavements; Forecasting; Machine learning; Overlays (Pavements); Pavement maintenance; Service life
• Identifier Terms: International Roughness Index; Iowa Department of Transportation; Pavement Management Information System
• Subject Areas: Aviation; Data and Information Technology; Highways; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01775668
• Record Type: Publication
• ISBN: 9780784483510
• Files: TRIS, ASCE
• Created Date: Jun 30 2021 11:59AM