|本期目录/Table of Contents|

[1]汤兆平,聂欣,王振宇,等.情景-应对模式下考虑软时间窗的高铁应急资源调度优化*[J].中国安全生产科学技术,2022,18(3):32-38.[doi:10.11731/j.issn.1673-193x.2022.03.005]
 TANG Zhaoping,NIE Xin,WANG Zhenyu,et al.Optimization of high-speed rail emergency resource dispatching considering soft time window in scenario-response mode[J].Journal of Safety Science and Technology,2022,18(3):32-38.[doi:10.11731/j.issn.1673-193x.2022.03.005]
点击复制

情景-应对模式下考虑软时间窗的高铁应急资源调度优化*

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年3期
页码:
32-38
栏目:
学术论著
出版日期:
2022-03-31

文章信息/Info

Title:
Optimization of high-speed rail emergency resource dispatching considering soft time window in scenario-response mode
文章编号:
1673-193X(2022)-03-0032-07
作者:
汤兆平聂欣王振宇孙剑萍
(华东交通大学 交通运输工程学院,江西 南昌 330013)
Author(s):
TANG Zhaoping NIE Xin WANG Zhenyu SUN Jianping
(School of Transportation Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,China)
关键词:
高铁救援情景-应对软时间窗资源调度遗传算法
Keywords:
railway emergencyscenario-responsesoft time windowresource schedulinggenetic algorithm
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2022.03.005
文献标志码:
A
摘要:
为提升高速铁路应急处置水平,考虑突发事件发生后应急资源需求的不确定性,通过对事故情景集的分析和计算,采用“情景-应对”模式,获取事故点的资源需求量;通过引入“软时间窗”概念,建立以超时惩罚成本、资源运输成本和救援点固定出动成本3者之和最小化为优化目标的应急资源调度模型,利用遗传算法进行求解,并基于实际事故案例验证方法和模型的科学性和有效性。研究结果表明:应急资源调度模型在满足应急需求下,可有效降低应急资源调度成本,研究结果可为高铁突发事件应急资源的调度决策提供理论依据。
Abstract:
In order to improve the emergency response level of high-speed railways and consider the uncertainty of emergency resource demands after emergencies,the resource requirements of accident points can be obtained by analyzing and calculating the accident scenario set and adopting the “scenario-response” model.Introduced the concept of “soft time window”,and established an emergency resource scheduling model which took the minimization of the sum of the overtime penalty cost,the resource transportation cost and the fixed dispatch cost of the rescue point as the optimization goal,then used genetic algorithm to solve it.Finally,verified the scientificity and rationality of methods and models by actual accidents.The results showed that the emergency resource scheduling model can effectively reduce the cost of emergency resource scheduling under the premise of satisfied the emergency demands,and the research results can provide a theoretical basis for the scheduling decision of emergency resources for high-speed railway emergencies.

参考文献/References:

[1]中华人民共和国国家统计局.中国统计年鉴[M].北京:中国统计出版社,2020.
[2]赖志柱,王铮,戈冬梅,等.多目标应急物流中心选址的鲁棒优化模型[J].运筹与管理,2020,29(5):74-83.LAI Zhizhu,WANG Zheng,GE Dongmei,et al.A multi-objective robust optimization model for emergency logistics center location[J].Operations Research and Management,2020,29(5):74-83.
[3]杜雪灵,孟学雷,杨贝,等.考虑公平性的面向多灾点需求应急资源调度[J].计算机应用,2018,38(7):2089-2094.DU Xueling,MENG Xuelei,YANG Bei,et al.Emergency resource assignment for requirements of multiple disaster sites in view of fairness[J].Computer Applications,2018,38(7):2089-2094.
[4]曲冲冲,王晶,黄钧,等.考虑时效与公平性的震后应急物资动态配送优化研究[J].中国管理科学,2018,26(6):178-187.QU Chongchong,WANG Jing,HUANG Jun,et al.Dynamic emergency materials distribution optimization with timeliness and fairness objective for post-earthquake emergency rescue[J].Chinese Management Science,2018,26(6):178-187.
[5]LIU Y Y,LEI H T,ZHANG D Z,et al.Robust optimization for relief logistics planning under uncertainties in demand and transportation time[J].Applied Mathematical Modelling,2018,55:262-280.
[6]汤兆平,秦进,孙剑萍,等.不确定条件下铁路应急资源调度多目标优化方法研究[J].铁道学报,2018,40(1):9-16.TANG Zhaoping,QIN Jin,SUN Jianping,et al.Multi-objective optimization method for dispatching of railway emergency resources under uncertainty conditions[J].Journal of the China Railway Society,2018,40(1):9-16.
[7]王飞跃,郭换换,裴甲坤,等.不确定条件下应急资源分配区间规划模型研究[J].中国安全生产科学技术,2019,15(10):107-113.WANG Feiyue,GUO Huanhuan,PEI Jiakun,et al.Study on interval programming model for allocation of emergency resource under uncertain conditions[J].Journal of Safety Science and Technology,2019,15(10):107-113.
[8]SUN H,WANG Y,XUE Y.A bi-objective robust optimization model for disaster response planning under uncertainties[J].Computers & Industrial Engineering,2021,155(3):107213.
[9]任斌,朱昌锋,钟校.基于前景理论的应急物资需求动态调整模型[J].中国安全科学学报,2018,28(3):179-184.REN Bin,ZHU Changfneg ZHONG Xiao.A PT based model for dynamic adjusting emergency material demand[J].Chinese Safety Science Journal,2018,28(3):179-184.
[10]范爱迪,陈美宝,辛萍,等.基于CBR的油气长输管道应急资源需求预测[J].价值工程,2019,38(30):275-278.FAN Aidi,CHEN Meibao,XIN Ping,et al.CBR-based emergency resource demand forecast for long-distance oil and gas pipelines[J].Value Engineering,2019,38(30):275-278.
[11]耿彪.基于GIS路径选择的铁路突发事件应急资源调度优化研究[D].南昌:华东交通大学,2017.
[12]杨延娇,赵国涛,王丕栋.基于语义与情感的句子相似度计算方法[J].计算机工程与应用,2021,57(16):151-158.YANG Yanjiao,ZHAO Guotao,WANG Pidong.Sentence similarity calculation method based on semantics and emotion[J].Computer Engineering and Applications,2021,57(16):151-158.
[13]杨婷,郑长江,马庚华.基于地铁的带时间窗地下物流路径优化研究[J].华东交通大学学报,2019,36(4):67-74.YANG Ting,ZHENG Changjiang,MA Genghua.Research on optimization of underground logistics path with time window based on subway[J].Journal of East China Jiaotong University,2019,36(4):67-74.
[14]LU Y,SUN S.Scenario-Based allocation of emergency resources in metro emergencies:a model development and a case study of nanjing metro[J].Sustainability,2020,12(16):6380.
[15]宋英华,陈亚雄,霍非舟,等.考虑年维护费用的多目标规划城市应急疏散中心选址研究[J].工业安全与环保,2019,45(3):36-40.SONG Yinghua,CHEN Yaxiong,HUO Feizhou,et.al.Multi-objective planning of urban emergency evacuation centers considering annual maintenance costs[J].Industrial Safety and Environmental Protection,2019,45(3):36-40.

相似文献/References:

[1]杨立波,陈兵,孙金莹,等.重特大海上交通事故情景分析与救援装备配置策略研究*[J].中国安全生产科学技术,2023,19(8):172.[doi:10.11731/j.issn.1673-193x.2023.08.025]
 YANG Libo,CHEN Bing,SUN Jinying,et al.Research on scenario analysis of major and catastrophic maritime traffic accidents and configuration strategy of rescue equipment[J].Journal of Safety Science and Technology,2023,19(3):172.[doi:10.11731/j.issn.1673-193x.2023.08.025]
[2]罗振敏,王玉玮,苏彬,等.基于马尔科夫链应急决策模型的LNG接收站泄漏事故分析*[J].中国安全生产科学技术,2025,21(6):100.[doi:10.11731/j.issn.1673-193x.2025.06.013]
 LUO Zhenmin,WANG Yuwei,SU Bin,et al.Analysis of leakage accidents in LNG terminal based on Markov chain emergency decision-making model[J].Journal of Safety Science and Technology,2025,21(3):100.[doi:10.11731/j.issn.1673-193x.2025.06.013]

备注/Memo

备注/Memo:
收稿日期: 2021-06-16
* 基金项目: 江西省社会科学规划项目(19YJ20);江西省重点研发计划项目(20192BBG70075)
作者简介: 汤兆平,博士,教授,主要研究方向为铁路运输规划与管理、应急救援管理。
通信作者: 孙剑萍,博士,教授,主要研究方向为交通运输规划与管理、载运工具应用与设计。
更新日期/Last Update: 2022-04-18