Prediction of Road Condition and Smoothness for Flexible and Rigid Pavements in Louisiana Using Neural Networks

The objective of this study is to develop an artificial neural network (ANN) application system that can be used to estimate future pavement condition and smoothness for Louisiana flexible and rigid pavements based on Louisiana Department of Transportation and Development (DOTD)’s pavement management systems (PMS) and other related pavement data collected.

Language

• English

Project

• Status: Active
• Funding: $182370
• Contract Numbers:

  21-1P; 1000376

• Sponsor Organizations:

  Federal Highway Administration

  5304 Flanders Drive, Suite A
  Baton Rouge, LA  United States  70808
• Managing Organizations:

  Louisiana Transportation Research Center

  4101 Gourrier Avenue
  Baton Rouge, LA  United States  70808

  Louisiana Department of Transportation and Development

  Baton Rouge, LA  United States 
• Project Managers:

  Zhang, Zhongjie

• Performing Organizations:

  Louisiana Transportation Research Center

  4101 Gourrier Avenue
  Baton Rouge, LA  United States  70808
• Principal Investigators:

  Wu, Zhong

• Start Date: 20200801
• Expected Completion Date: 20230630
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Flexible pavements; Mathematical prediction; Neural networks; Pavement management systems; Rigid pavements; Smoothness
• Identifier Terms: Louisiana Department of Transportation and Development
• Geographic Terms: Louisiana
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01754714
• Record Type: Research project
• Source Agency: Louisiana Transportation Research Center
• Contract Numbers: 21-1P; 1000376
• Files: RIP, STATEDOT
• Created Date: Oct 15 2020 3:58PM