Development of a Machine Learning-Based Model to Determine the Optimum and Safe Restriping Timing of Thermoplastic Pavement Markings in Hot and Humid Climates

The objective of this study is to develop new cost-effective restriping strategies for thermoplastic pavement markings when applied to pavements in hot and humid climates. To achieve this objective, the field performance (retroreflectivity and durability) of thermoplastic pavement markings under hot and humid climate service conditions will be evaluated. Based on the results, the research team will develop performance prediction models that could predict the thermoplastic pavement marking service life based on the roadway conditions. This will assist transportation agencies maintain minimum retroreflectivity levels in conformance with the proposed Federal Highway Administration (FHWA) requirements with minimal risk of under restriping or over restriping. Eventually life cycle cost analysis will be conducted to compare different restriping strategies. The implementation of this research will significantly improve traffic safety in rainy conditions encountered in Region 6. In addition, the results of this research are important to ensure safe and reliable navigation of autonomous vehicles through the roadway, which are recently emerging in Region 6. The results of this research will be used to implement and optimize the use and maintenance of thermoplastic pavement markings in South-Central United States, and to reduce costs.

• Supplemental Notes:
  • 21BLSU11

Language

• English

Project

• Status: Active
• Funding: $75179
• Contract Numbers:

  69A3551747106

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Consortium of South-Central States (Tran-SET)

  Louisiana State University
  Baton Rouge, LA  United States  70803
• Project Managers:

  Mousa, Momen

• Performing Organizations:

  Louisiana State University, Baton Rouge

  P.O. Box 94245, Capitol Station
  Baton Rouge, LA  United States  70803
• Principal Investigators:

  Mousa, Momen

• Start Date: 20210801
• Expected Completion Date: 20230201
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Hot weather; Machine learning; Marking materials; Pavements; Retroreflectivity; Striping; Thermoplastic materials
• Subject Areas: Construction; Highways; Materials; Pavements;

Filing Info

• Accession Number: 01833034
• Record Type: Research project
• Source Agency: Transportation Consortium of South-Central States (Tran-SET)
• Contract Numbers: 69A3551747106
• Files: UTC, RIP
• Created Date: Jan 20 2022 2:12PM