A Genetic Algorithm Based Microscopic Simulation to Develop the Evacuation Plan For Multi-Institutional Centers

The current emergency evacuations practices are mainly focused on two levels: either in a relatively larger scale of urban or state area; or in a small-scale like a building and elevators. In this paper, a microscope simulation framework is proposed to develop suitable transportation evacuation plans for Multi-Institutional Centers (MIC). VISSIM is selected as the simulation tool, while the Genetic Algorithm (GA) is used to calibrate driving behavior parameters for VISSIM. As a case study, the Texas Medical Center (TMC) network is modeled and the evacuation plans are developed and evaluated. Results show that the proposed framework is a good and practical tool for developing and evaluating appropriate evacuation plans under similar instances.

  • Corporate Authors:

    ITS America

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    Washington, DC  United States  20036
  • Authors:
    • Qiao, Fengxiang
    • Ge, Ruixin
    • Yu, Lei
  • Conference:
  • Publication Date: 2010

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; Maps; References; Tables;
  • Pagination: 19p
  • Monograph Title: ITS America 20th Annual Meeting & Exposition

Subject/Index Terms

Filing Info

  • Accession Number: 01342761
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 23 2011 9:07AM