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:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Qiao, Fengxiang
- Ge, Ruixin
- Yu, Lei
-
Conference:
- ITS America 20th Annual Meeting & Exposition
- Location: Houston TX, United States
- Date: 2010-5-3 to 2010-5-5
- 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
- TRT Terms: Disaster preparedness; Evacuation; Genetic algorithms; Hazards and emergency operations; Institutional issues; Microscopic traffic flow; Public transit; Traffic simulation; Transportation planning
- Identifier Terms: Texas Medical Center; VISSIM (Computer model)
- Uncontrolled Terms: Institutional facilities
- Subject Areas: Highways; Planning and Forecasting; Public Transportation; Security and Emergencies; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01342761
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 23 2011 9:07AM