Evacuation Strategy Optimization Study Based on System Theory

Emergency evacuation is to transfer people from dangerous places to safe areas, so as to reduce or even avoid the potential harm to people. It is inherently a comprehensive system composed of evacuation managers, evacuees, road networks, shelters, etc. Security is one of the important indicators of...

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Main Authors: Hu Yuan, Ruixi Wang, Xiao Zhang, Yueqi Hu, Fan Zhang, Tong Zhu, Haoxue Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8794521/
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author Hu Yuan
Ruixi Wang
Xiao Zhang
Yueqi Hu
Fan Zhang
Tong Zhu
Haoxue Liu
author_facet Hu Yuan
Ruixi Wang
Xiao Zhang
Yueqi Hu
Fan Zhang
Tong Zhu
Haoxue Liu
author_sort Hu Yuan
collection DOAJ
description Emergency evacuation is to transfer people from dangerous places to safe areas, so as to reduce or even avoid the potential harm to people. It is inherently a comprehensive system composed of evacuation managers, evacuees, road networks, shelters, etc. Security is one of the important indicators of such system. Moreover, in order to ensure the normal and efficient operation of evacuation system, each component should cooperate well with each other, thus making stability another important index of the evacuation system. In order to optimize evacuation safety, some residential areas may be arranged to stay much longer which is hard to be accepted, namely, the stability of evacuation system is low. In this paper, a system-based evacuation CSO model at residential level is proposed which compromises the security and stability of evacuation systems. The CSO model is a bi-level network optimization model, the upper level aims at minimizing the total risk of evacuation subject to the residential tolerance level and the lower level conveys a cell transmission-based dynamic traffic assignment problem. Using our model, we also study the impact of the number of shelters, the organizational form of road intersections, the uncertainty of evacuation demand and risk distribution on evacuation system.
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spelling doaj.art-714e15b4dee74f0eb7a3f672683f84502022-12-22T01:51:18ZengIEEEIEEE Access2169-35362019-01-01711123211124410.1109/ACCESS.2019.29344738794521Evacuation Strategy Optimization Study Based on System TheoryHu Yuan0https://orcid.org/0000-0001-7747-5141Ruixi Wang1Xiao Zhang2Yueqi Hu3Fan Zhang4https://orcid.org/0000-0001-6709-2497Tong Zhu5Haoxue Liu6School of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaEmergency evacuation is to transfer people from dangerous places to safe areas, so as to reduce or even avoid the potential harm to people. It is inherently a comprehensive system composed of evacuation managers, evacuees, road networks, shelters, etc. Security is one of the important indicators of such system. Moreover, in order to ensure the normal and efficient operation of evacuation system, each component should cooperate well with each other, thus making stability another important index of the evacuation system. In order to optimize evacuation safety, some residential areas may be arranged to stay much longer which is hard to be accepted, namely, the stability of evacuation system is low. In this paper, a system-based evacuation CSO model at residential level is proposed which compromises the security and stability of evacuation systems. The CSO model is a bi-level network optimization model, the upper level aims at minimizing the total risk of evacuation subject to the residential tolerance level and the lower level conveys a cell transmission-based dynamic traffic assignment problem. Using our model, we also study the impact of the number of shelters, the organizational form of road intersections, the uncertainty of evacuation demand and risk distribution on evacuation system.https://ieeexplore.ieee.org/document/8794521/Evacuation managementsystem theoryconstrained system optimaldynamic traffic assignmentcell transmission model
spellingShingle Hu Yuan
Ruixi Wang
Xiao Zhang
Yueqi Hu
Fan Zhang
Tong Zhu
Haoxue Liu
Evacuation Strategy Optimization Study Based on System Theory
IEEE Access
Evacuation management
system theory
constrained system optimal
dynamic traffic assignment
cell transmission model
title Evacuation Strategy Optimization Study Based on System Theory
title_full Evacuation Strategy Optimization Study Based on System Theory
title_fullStr Evacuation Strategy Optimization Study Based on System Theory
title_full_unstemmed Evacuation Strategy Optimization Study Based on System Theory
title_short Evacuation Strategy Optimization Study Based on System Theory
title_sort evacuation strategy optimization study based on system theory
topic Evacuation management
system theory
constrained system optimal
dynamic traffic assignment
cell transmission model
url https://ieeexplore.ieee.org/document/8794521/
work_keys_str_mv AT huyuan evacuationstrategyoptimizationstudybasedonsystemtheory
AT ruixiwang evacuationstrategyoptimizationstudybasedonsystemtheory
AT xiaozhang evacuationstrategyoptimizationstudybasedonsystemtheory
AT yueqihu evacuationstrategyoptimizationstudybasedonsystemtheory
AT fanzhang evacuationstrategyoptimizationstudybasedonsystemtheory
AT tongzhu evacuationstrategyoptimizationstudybasedonsystemtheory
AT haoxueliu evacuationstrategyoptimizationstudybasedonsystemtheory