社区应急疏散动态协作调度优化研究

doi:10.16381/j.cnki.issn1003-207x.2019.04.018

Abstract

Abstract: In consideration of the temporal dynamics of evacuees and road network traffic time and the randomness of evacuation response parameter, the collaborative scheduling optimization process of community emergency evacuation was proposed. At the same time, the coordination scheduling optimization model with varieties of transportation tools was constructed and the multi-object algorithm was designed for community evacuation, which aims to hit the targets of evacuated victims maximizing and evacuation cost minimizing. Then, the collaborative scheduling optimization process of community emergency evacuation was simulated and tested with Tansmodeler software platform, during which the dynamic evacuees demand and road network traveling time table were loaded in real time. Results show that there are different evacuees demand and road network transit-time and the proposed process, model and algorithm can provide decision-making in real time for the planning of transportation tools and the selection of evacuation routs according to dynamic evacuee quantity and road network transit-time.

Key words: engineering of communications and transportation system, dynamic collaborative scheduling optimization, simulation, s-curve, multi-object chance-constrained programming

CLC Number:

C931

ZHANG Bai-shang, FAN Gang-long, TAN Pang, JIA Yu-kui, YIN Ru-fa. Research on the Dynamic Collaborative Scheduling Optimization for Community Evacuation[J]. Chinese Journal of Management Science, 2019, 27(4): 190-197.

References

[1] Siversa I V, Templetonc A, Künzner F,et al. Modelling social identification and helping in evacuation simulation[J]. Safety Science, 2016, 89(7):288-300.

[2] 俞武扬. 基于情景分析的应急疏散车辆配置模型[J].运筹与管理,2015,24(2):135-139.

[3] 杨继君,佘廉. 面向多灾点需求的应急资源调度博弈模型及优化[J]. 中国管理科学, 2016,24(8):154-163.

[4] 孟永昌, 杨赛霓, 史培军. 基于改进遗传算法的路网应急疏散多目标优化[J]. 武汉大学学报(信息科学版), 2014,(2):201-205.

[5] 马毅, 严余松. 路网应急疏散理想与保守疏散时间流研究[J].交通运输系统工程与信息,2015,(1):167-172.

[6] 霍良安, 黄培清, 方星. 基于Stackelberg博弈模型的展会人员应急疏散问题[J]. 系统管理学报, 2013,22(3):425-430.

[7] 刘亚磊, 李渊, 吴俊丽,等. 基于改进Dijkstra算法的高速公路应急疏散路径规划[J]. 交通运输研究,2016,(6):54-59+66.

[8] 唐炉亮.灾害条件下多层次应急疏散模型的构建方法研究[J].灾害学,2015,(2):179-185.

[9] Wolshon B. Empirical characterization of mass evacuation traffic flow[J]. Transportation Research Record:Journal of the Transportation Research Board, 2008, 44(2041), 38-48.

[10] Chiu Y C,Mirchandani P B.Online behavior-robust feedback information routing strategy for mass evacuation[J]. IEEE Transactions on Intelligent Transportation Systems, 2008, 9(2):264-274.

[11] Balakrishna R, Wen Y, Ben-Akiva M E, et al. Simulation-based framework for transportation network management in emergencies[J]. Transportation Research Record:Journal of the Transportation Research, 2008, 44(2041):80-88

[12] 苑盛成, 王刚桥, 马晔风, 等. 基于实时数据的应急交通疏散仿真方法研究[J].系统工程理论与实践,2015,35(10):2484-2489.

[13] 吴薇薇,宁宣熙. 基于改善紧急疏散网络流通能力的仿真研究[J]. 中国管理科学,2006,14(3):86-91.

[14] 高明霞. 基于双层规划的交通疏散中车辆出发与交通控制综合优化[J]. 中国管理科学, 2014, 22(12):65-71.

[15] Li J, Ozbay K. Evacuation planning with endogenous transportation network degradations:A stochastic cell-based model and solution procedure[J]. Networks and Spatial Economics, 2015, 15(3):677-696

[16] Miller-Hooks E, Sorrel G. Maximal dynamic expected flows problem for emergency evacuation planning[J]. Transportation Research Record:Journal of the Transportation Research Board, 2008, 44(2089):26-34.

[17] Yazici M A, Ozbay K. Impact of probabilistic road capacity constraints on the spatial distribution of hurricane evacuation shelter capacities. Transportation Research Record:Journal of the Transportation Research Board, 2007, 43(2022):55-62.

[18] Yazici M A, Ozbay K. Evacuation network modeling via dynamic taffic assignment with probabilistic demand and capacity constraints[J]. Transportation Research Record:Journal of the Transportation Research Board, 2010, 46(2196):11-20.

[19] Ng M W, Waller S T. Reliable evacuation planning via demand inflation and supply deflation. Transportation Research Part E:Logistics and Transportation Review, 2010, 46(6):1086-1094.

[20] 张佰尚,李向阳,李相华. 信息不完备条件下地震应急案例结构化方法研究[J]. 运筹与管理,2015,24(2):31-41.

[21] Retike A J, Robbins M J, Lunday B J. Approximate dynamic programming for the dispatch of military medical evacuation assets[J]. European Journal of Operational Research, 2016, 254(3):824-839.

[22] 于德新, 仝倩, 杨兆升, 等. 重大灾害条件下应急交通疏散时间预测模型[J]. 吉林大学学报(工学版), 2013, 43(3):654-658

[23] 耿彦斌. 基于事件惩罚的公路应急交通动态分配模型[J]. 交通运输系统工程与信息, 2016, 16(5):129-135

[24] 耿彦斌, 韦献兰. 多集结点的应急交通时变疏散需求预测模型[J]. 交通运输系统工程与信息, 2010, 10(4):131-136.

[25] Jiao R W, Zeng S Y, Alkasassbeh J S, et al. Dynamic multi-objective evolutionary algorithms for single-objective optimization[J]. Applied Soft Computing, 2017, 61:793-805.

[26] Özk??, A., Babal?k, A. Ahmet. A novel metaheuristic for multi-objective optimization problems:The multi-objective vortex search algorithm[J]. Information Sciences, 2017, 402(3):124-148.

Research on the Dynamic Collaborative Scheduling Optimization for Community Evacuation

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Zhiguo Shao,Mengdi Li,Chuanfeng Han,Lingpeng Meng,Qidi Wu. Simulation and Cooperative Mechanism of Construction Waste Disposal Based on Evolutionary Game [J]. Chinese Journal of Management Science, 2024, 32(7): 324-334.
[2]	Lu Wang,Pingtao Yi,Weiwei Li. Stochastic Simulation Integrated Method for Multi-source Uncertain Information and Its Application [J]. Chinese Journal of Management Science, 2024, 32(5): 103-112.
[3]	Cheng Cheng,Runfei An,Kangyin Dong,Xiaohang Ren,Zhen Wang,Guohao Zhao. Research on Innovation Strategy for Renewable Power Generation Enterprises under the Background of Carbon Trading Mechanism——from the Perspective of Evolutionary Game [J]. Chinese Journal of Management Science, 2024, 32(3): 82-94.
[4]	ZHU Hong-miao, YAN Xin, QI Jia-yin, JIN Zhen. Research on Communication Model and Intervention Strategy of COVID-19 Vaccination Consciousness Among Public [J]. Chinese Journal of Management Science, 2023, 31(8): 269-277.
[5]	ZHOU Ying, YI Ping-tao, WANG Lu, DONG Qian-kun. Objective Optimization Method and Verification Analysis of Group Evaluation Data from the Perspective of Psychological Threshold Coordination [J]. Chinese Journal of Management Science, 2023, 31(7): 237-245.
[6]	JI Shou-feng, LIU Hong-yu, ZHAO Peng-yun, JI Ting-ting. Model and Algorithm of Dynamic Inventory Replenishment Based on Physical Internet [J]. Chinese Journal of Management Science, 2023, 31(2): 205-214.
[7]	Guo-qiang SUN,Yu-fei XIE. Blockchain Technology, Supply Chain Networks and Data Sharing: Based on the Perspective of Evolutionary Game [J]. Chinese Journal of Management Science, 2023, 31(12): 149-162.
[8]	FENG Chang-li, MA Rui-ze. Analysis of Evolutionary Game between Manufacturing Enterprises and Service Providers Based on Servitization [J]. Chinese Journal of Management Science, 2022, 30(6): 263-274.
[9]	WANG Lu, MA Qing-qing, YANG Jie, ZHENG Jun-jun. Research on The Influence of Green Consumers on The Diffusion of New Energy Vehicles Based on Complex Network Evolutionary Game [J]. Chinese Journal of Management Science, 2022, 30(4): 74-85.
[10]	LIN Li, WANG Yu, WU Jia-cong. Customer Perspectives and Online Customisation Strategies: A Simulation Model of Online Community-Based Dynamic Customisation in Small and Medium-Sized Enterprises [J]. Chinese Journal of Management Science, 2022, 30(3): 13-29.
[11]	XU Le, MA Yong-gang, WANG Xiao-fei. Study on Environmental Policy Selection for Green Technology Innovation Based on Evolutionary Game: Government Behavior vs. Public Participation [J]. Chinese Journal of Management Science, 2022, 30(3): 30-42.
[12]	OUYANG Yan-min, WANG Chang-feng, LIU Liu, YUAN Hong-min. Study on the Risk Early Warning Interval Model Based on Improved Adaptive Optimal Partition Method——Large-scale Public Health Emergency [J]. Chinese Journal of Management Science, 2022, 30(11): 196-206.
[13]	HUANG Ding-xuan, LI Shu-liang, WU Yong-jiao, LU Rui. A Study on the Symbiotic Model for Green and Conventional Buildings Considering the Game Payoff Matrix and Limited Market Capacity [J]. Chinese Journal of Management Science, 2021, 29(8): 94-105.
[14]	WANG Jun-yong, LI Xin-dan, Lin Liang-cai. Research on the Cross-market and Cross-network Contagion Mechanism of Preventing and Controlling Financial Risk in the New Era [J]. Chinese Journal of Management Science, 2021, 29(6): 23-35.
[15]	ZHU Li-long, RONG Jun-mei, Zhang Si-yi. Three-party Evolutionary Game and Simulation Analysis of Drug Quality Supervision under the Government Reward and Punishment Mechanism [J]. Chinese Journal of Management Science, 2021, 29(11): 55-67.