Modeling Disrupted Transportation Infrastructure System due to Multiple Hazards

A transportation system, consisting of roads and bridges, experiences various types of disruptions subjected to different hazards, including long-term, short-term and temporary ones. Due to the complex nature and different causes, disruptions can be very hard to predict with high uncertainty. Different from normal traffic conditions with intact transportation system, actual field data is often lacking, preventing from developing some data-based models. As a key step toward predicting travel time of disrupted traffic system due to several representative hazards, this project tries to achieve following research objectives in order to support the preparation, response and recovery of modern community before and following natural hazards: 1) Appropriately define various natural hazards and incidents, which may cause transportation disruption in urban and rural settings; 2) Develop a general method to model the caused disruptions on transportation system, particularly roads and bridges, due to full or partial blockage.


  • English


  • Status: Completed
  • Funding: $116000
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Dept. of Civil and Environmental Engineering

    Colorado State University
    Fort Collins, CO  United States 
  • Principal Investigators:

    Chen, Suren

  • Start Date: 20200218
  • Expected Completion Date: 20240731
  • Actual Completion Date: 20231029
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-617

Subject/Index Terms

Filing Info

  • Accession Number: 01732638
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Mar 2 2020 9:08PM