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Title: Global Optimization of Emergency Evacuation Assignments

Abstract

Conventional emergency evacuation plans often assign evacuees to fixed routes or destinations based mainly on geographic proximity. Such approaches can be inefficient if the roads are congested, blocked, or otherwise dangerous because of the emergency. By not constraining evacuees to prespecified destinations, a one-destination evacuation approach provides flexibility in the optimization process. We present a framework for the simultaneous optimization of evacuation-traffic distribution and assignment. Based on the one-destination evacuation concept, we can obtain the optimal destination and route assignment by solving a one-destination traffic-assignment problem on a modified network representation. In a county-wide, large-scale evacuation case study, the one-destination model yields substantial improvement over the conventional approach, with the overall evacuation time reduced by more than 60 percent. More importantly, emergency planners can easily implement this framework by instructing evacuees to go to destinations that the one-destination optimization process selects.

Authors:
 [1];  [1];  [2];  [2]
  1. University of Tennessee, Knoxville (UTK)
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO)
OSTI Identifier:
1003725
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Journal Article
Resource Relation:
Journal Name: Interfaces; Journal Volume: 36; Journal Issue: 06
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY AND ECONOMY; EMERGENCY PLANS; EVACUATION; ROUTING; FLEXIBILITY; OPTIMIZATION; TRAFFIC CONTROL; emergency planning; microscopic simulation; dynamic traffic assignment; network optimization; evacuation; intelligent transportation system

Citation Formats

Han, Lee, Yuan, Fang, Chin, Shih-Miao, and Hwang, Ho-Ling. Global Optimization of Emergency Evacuation Assignments. United States: N. p., 2006. Web. doi:10.1287/inte.1060.0251.
Han, Lee, Yuan, Fang, Chin, Shih-Miao, & Hwang, Ho-Ling. Global Optimization of Emergency Evacuation Assignments. United States. doi:10.1287/inte.1060.0251.
Han, Lee, Yuan, Fang, Chin, Shih-Miao, and Hwang, Ho-Ling. Sun . "Global Optimization of Emergency Evacuation Assignments". United States. doi:10.1287/inte.1060.0251.
@article{osti_1003725,
title = {Global Optimization of Emergency Evacuation Assignments},
author = {Han, Lee and Yuan, Fang and Chin, Shih-Miao and Hwang, Ho-Ling},
abstractNote = {Conventional emergency evacuation plans often assign evacuees to fixed routes or destinations based mainly on geographic proximity. Such approaches can be inefficient if the roads are congested, blocked, or otherwise dangerous because of the emergency. By not constraining evacuees to prespecified destinations, a one-destination evacuation approach provides flexibility in the optimization process. We present a framework for the simultaneous optimization of evacuation-traffic distribution and assignment. Based on the one-destination evacuation concept, we can obtain the optimal destination and route assignment by solving a one-destination traffic-assignment problem on a modified network representation. In a county-wide, large-scale evacuation case study, the one-destination model yields substantial improvement over the conventional approach, with the overall evacuation time reduced by more than 60 percent. More importantly, emergency planners can easily implement this framework by instructing evacuees to go to destinations that the one-destination optimization process selects.},
doi = {10.1287/inte.1060.0251},
journal = {Interfaces},
number = 06,
volume = 36,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}
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