Developing Pavement Performance Prediction Models and Decision Trees for the City of Cincinnati

This report presents the details of a study conducted to develop pavement performance prediction models and decision trees for various families of pavements, using the data available with the City of Cincinnati. Required data were acquired from the city’s pavement inventory database. The road network was divided into two classifications namely, major roads and minor roads. These roads were further grouped based on their structural makeup. Statistical regression models were developed for each group. A decision tree was developed to suggest appropriate maintenance and rehabilitation activities based on the condition of the pavement. The city engineers can use these models in conjunction with their pavement management system to predict the future condition of the highway network in Cincinnati and to implement cost effective pavement management solutions. Using the methodology developed in this study, the engineers can also further improve the accuracy of the models in the future.

Language

  • English

Media Info

  • Media Type: Print
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 42p

Subject/Index Terms

Filing Info

  • Accession Number: 01044275
  • Record Type: Publication
  • Report/Paper Numbers: FHWA/OH-2006/14
  • Contract Numbers: 134186
  • Files: TRIS, ATRI, USDOT, STATEDOT
  • Created Date: Mar 17 2007 7:39AM