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.

• Record URL:
  https://ncst.ucdavis.edu/project/development-predictive-performance-models-and-calibration-mechanistic-empirical-design

Language

• English

Project

• Status: Completed
• 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: 20230930
• Actual Completion Date: 20240801
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Calibration; Data analysis; Environmental impacts; Infrastructure; Life cycle costing; Mathematical models; Mathematical prediction; Mechanistic-empirical pavement design; Optimization; Pavement cracking; Pavement management systems; Pavement performance; Rigid pavements
• Identifier Terms: California Department of Transportation; Mechanistic-Empirical Pavement Design Guide
• Geographic Terms: United States
• Subject Areas: Design; Environment; Highways; Maintenance and Preservation; Pavements; Planning and Forecasting;

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 4:18PM