Multi-Level Resilience-Based Transportation Asset Management (TAM) Framework using Bayesian Network

This project is a multi-level resilience-based transportation asset management framework using Bayesian network. The framework is aimed at (a) measuring transportation network resilience at multiple management levels (e.g., project, network and enterprise levels), (b) tracking and quantifying uncertainties existing at every level so as to effectively manage uncertainties in assessing the overall network resilience, (c) determining the optimal combination of inspection/monitoring techniques based on Value of Information, and (d) providing the optimal allocation of budgets to multiple pre- and post-disaster resilience-enhancing strategies. The project will provide decision-makers (e.g., state DOT risk managers, executives, and program and project managers) with several analytical models, including (a) component-level time-dependent reliability analysis and its updating procedure based on different types of inspection and monitoring techniques; (b) network analysis which can incorporate both the robustness of components and the adaptive capacity of a network; (c) Bayesian-network-based resilience assessment model that evaluates each resilience capacity at multiple transportation management system levels and quantifies uncertainty at every assessment stage; and (d) asset management strategies by disaggregating resilience into the three resilience capacities using backward simulation. The framework itself and such analytical models can be implemented in risk-/resilience-based transportation asset management. Moreover, this project can be extended to develop a Python interactive tool, which is designed to enable transportation agencies to understand how the research findings can be easily and successfully implemented in improving the resilience of their transportation system.

• Record URL:
  https://tridurle.wsu.edu/bayesian-network/

Language

• English

Project

• Status: Active
• Funding: $124974
• Contract Numbers:

  ORSO 135461

• Sponsor Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Department of Civil & Environmental Engineering
  Pulman, Washington  United States  99163

  Office of the Assistant Secretary for Research and Technology

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

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Washington State University, Pullman

  Civil & Environmental Engineering Department
  PO Box 642910
  Pullman, WA  United States  99164-2910

  Case Western Reserve University

  School of Engineering
  10900 Euclid Avenue
  Cleveland, OH  United States  44106
• Principal Investigators:

  Li, Yue

  Yu, Xiong

  Lee, Ji Yun

• Start Date: 20200501
• Expected Completion Date: 20221031
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Asset management; Bayes' theorem; Disaster resilience; Inspection; Network analysis (Planning); Simulation; Uncertainty
• Subject Areas: Highways; Maintenance and Preservation; Planning and Forecasting;

Filing Info

• Accession Number: 01754277
• Record Type: Research project
• Source Agency: National Center for Transportation Infrastructure Durability and Life-Extension
• Contract Numbers: ORSO 135461
• Files: UTC, RIP
• Created Date: Oct 6 2020 1:56PM