Development of Predictive Performance Models and Calibration of Mechanistic Empirical Design Method for Optimized Transportation Infrastructure Management, Considering Life-Cycle Costs and Environmental Impacts

The United States spends $150 billion per year to maintain its vast transportation network of 4.11-million lane-miles of roads. Vehicles that drive along these roads consume 213 billion gallons of fuel per year. Due to such staggering financial and environmental costs, it is important for transportation planners to optimize current infrastructure. In California, pavement maintenance is extremely costly. Effective pavement management systems take into account cracking and roughness. The quality of these features directly impacts vehicle fuel consumption. This research has two main objectives: (1) Developing predictive performance models needed for optimized network level management of rigid transportation infrastructure. These performance models are developed by conducting big data analysis of field data collected from Caltrans Pavement Management System. (2) Calibrating MechanisticEmpirical Design Guide for rigid pavements in California and developing models for longitudinal cracking specific to California and few other states.

Language

  • English

Project

  • Status: Active
  • Funding: $25000
  • Contract Numbers:

    DOT 69A3551747114

  • Sponsor Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    University of California, Davis

    1 Shields Ave
    Davis, California  United States  95616
  • Managing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 
  • Project Managers:

    lacobucci, Lauren

  • Performing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    University of California, Davis

    Institute of Transportation Studies
    Davis, CA  United States  95616
  • Principal Investigators:

    Saboori, Ashkan

    Harvey, John

  • Start Date: 20190201
  • Expected Completion Date: 20200531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01708766
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: DOT 69A3551747114
  • Files: UTC, RiP
  • Created Date: Jun 26 2019 12:42PM