Flood Vulnerability Assessment and Data Visualization for Lifeline Transportation Network

The objective of this project is to develop a 2D hydrodynamic model to assess the extent of flooding due to extreme weather events like Hurricane Sandy and to evaluate the efficiency of existing transportation infrastructure. A network representation of the transportation systems, generation of flood event scenarios, a method to estimate transportation link vulnerability will be incorporated. The transportation link vulnerability can be evaluated in terms of its service disruption related to the number of interrupted vehicles and the durations of interruption. To generate the flood scenarios, a frequency analysis of annual peak flow data collected at a stream gage can provide an estimation of the flood magnitude and frequency. A mobile data visualization user-friendly application on Android will be developed to provide flood data and information for New Jersey coastal communities. Furthermore, this evaluation can be used to develop a decision-support framework for extreme evacuation planning to prepare the communities living in critical regions. The intended outcome of the project is to guide the path toward resiliency of state roadways and help to revise the evacuation plans during natural disasters. In addition, capital improvement projects can use this project outcome to optimize their solutions and plan ahead for high risk areas.

Language

  • English

Project

  • Status: Active
  • Funding: $190000
  • Contract Numbers:

    69A3551847102

    CAIT-UTC-REG15

  • 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:

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Road
    Piscataway, NJ  United States  08854-8058

    New Jersey Department of Community Affairs

    101 S Broad St
    Trenton, NJ  United States  08608
  • Project Managers:

    Szary, Patrick

    Thomas, Sean

  • Performing Organizations:

    Rowan University

    College of Engineering
    201 Mullica Hill Road
    Glassboro, NJ  United States  08028
  • Principal Investigators:

    Nazari, Rouzbeh

    Motamedi, Mohammad

  • Start Date: 20180901
  • Expected Completion Date: 20190930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01683666
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: 69A3551847102, CAIT-UTC-REG15
  • Files: UTC, RiP
  • Created Date: Oct 18 2018 2:44PM