Dynamic Bus Routing Problem for Evacuation

Bus based evacuation serves carless population and helps reduce congestion during evacuations. Due to the complexity of the problem, the literature in this area uses bi-level approach, where in the upper level the bus routing decisions are made, and in the lower level, changes of traffic dynamics are captured. Other papers develop Vehicle Routing Problem (VRP) extensions to provide optimal bus routing solutions where the congestion is given exogenously. This proposed research develops a single-level dynamic bus routing problem that determines the optimal bus routing with respect to dynamics of traffic and congestion, that minimizes the total evacuation time experienced by all evacuees. By incorporating the interaction between the demand for automobile uses and bus evacuation planning and its effect on traffic dynamics, we can plan a more efficient and effective bus-based evacuation service operations during the time-sensitive, resource-restricted, and highly-congested evacuation processes. The proposed research includes tasks of (1) model development, (2) computational methods, and (3) case study.

Language

  • English

Project

  • Status: Active
  • Funding: $23663
  • Contract Numbers:

    49198-12-28

  • Sponsor Organizations:

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031

    Office of the Assistant Secretary for Research and Technology

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

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Eickemeyer, Penny

  • Performing Organizations:

    State University of New York, Buffalo

    242 Carpenter Hall
    Buffalo, NY  United States  10003
  • Principal Investigators:

    Kang,  Jee Eun

  • Start Date: 20160801
  • Expected Completion Date: 20170731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01607475
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49198-12-28
  • Files: UTC, RiP
  • Created Date: Aug 8 2016 3:34PM