Optimization of recovery strategy in emergency rescue phase of traffic network based on variable repair level
Abstract
brings hidden dangers to the safety of people’s lives and property, but also makes rescue more diffi cult. Therefore, restoring the connectivity
of the traffi c network is the primary task. Based on the variable repair level of the road section, this paper proposes an optimization model of
the recovery strategy in the emergency rescue phase, and uses “Monte Carlo simulation” to carry out 10 million cycles to obtain the optimal
dispatch strategy and recovery strategy. Through the actual case analysis, it is concluded that the model in this paper can be applied to largescale traffi c network restoration projects and give effi cient and reasonable rescue strategies.
Keywords
Full Text:
PDFReferences
[1] Zhaolong Li,Chun Jin,Pan Hu, etc Strategy optimization of transportation network emergency recovery stage based on resilience [J]System engineering
theory and practice, 2019, 39 (11): 108-121
[2] Zhaolong Li Research on Decision Optimization of highway network disaster recovery based on resilience [D]Dalian University of technology, 2019
[3] Mi Li,Xia Wang,Xianjun Guan Urban emergency traffi c assignment model and example under non early warning emergencies [J]Soft science, 2011, 25 (3):
121-125
[4] Shengcheng Yuan,Gangqiao Wang,Yefeng Ma, etc Research on emergency traffic evacuation simulation method based on real-time data [J]System
engineering theory and practice, 2015, 35 (10): 2484-2489
[5] Qiansheng Zhao,Haiguo Zhu,Nianxue Luo Research on emergency decision information extraction based on complex spatial relationship theory [J]System
engineering theory and practice, 2015, 35 (10): 2606-2612
[6] Xiaojun Chen,Xiaoyan Lin Research on emergency evacuation management mechanism of transportation infrastructure -- a fusion perspective of prospect
theory and spatial temporal analysis [J]Economic and management research, 2014, 000 (008): 71-80
[7] Kai Liu,Jing Zhou Research on mixed user equilibrium model under traffi c information guidance [J]System engineering theory and practice, 2020, 40 (2):
415-425
[8] Shuanglin Li,Zujun Ma Disaster relief route selection based on user equilibrium condition under post-earthquake traffi c control [J]Journal of management
engineering, 2014, 028 (003): 148-155217
[9] Xinhua He,Wenfa Hu,Xizhao Zhou, etc Collaborative optimization model of post-earthquake emergency supply problem and traffi c network [J]China
management science, 2017, 25 (04): 104-114
[10] Haitao Chen,Feng Bai,Mingmin Fang Research on communication mechanism of urban emergency management based on multi agent [J]Information
science, 2010, 28 (12): 1884-1888
[11] Zifu Fan,Lihua Wang,Hong Sun Construction of emergency communication classifi cation model based on dominance rough set [J]Statistics and decision
making, 2015, 18 (4): 56-59
[12] Xing Chen,Yong Wang,Lingyun Wu, etc Multi stage, multi-objective and multi department emergency decision-making model [J]System engineering
theory and practice, 2010, 30 (11): 1977-1985
[13] Xinhua Mao,Jianwei Wang,Changwei Yuan, etc Research on post disaster highway network repair scheduling based on elastic optimization [J/OL]
Chinese Journal of highway: 1-18
http://kns.cnki.net/kcms/detail/61.1313.U.20210309.1404.002.html, 2022-04-26
[14] Mengling Zhang,Jing Wang,Jun Huang, etc Research on Integrated Optimization of road repair and material distribution under emergencies based on
mobile positioning data [J]China management science, 2021, 29 (3): 133-142
[15] Binghua Tu Research on emergency repair team scheduling problem for severely damaged road network [D]Hefei University of technology, 2020
DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i1.7388
Refbacks
- There are currently no refbacks.
