摘要
为提升地铁应急救援与调度效率,提出一类面向特大暴雨的地铁应急救援与调度优化问题,旨在同时解决救援站选址、救援路径选择、救援队伍分配和车辆调度决策。首先,根据地铁站空间结构及流水阻力,设计地铁站应急救援风险模型;其次,以最小化成本和风险为目标,构建双目标优化模型,并根据3个多目标求解方法设计求解步骤;最后,以广州地铁应急实例验证模型和算法的有效性。新模型和算法能提供多个有效方案,计算结果表明:相较于应急管理现状,新优化方案可降低14.29%的总风险,缩短12.16%应急救援队伍运输时间;相较于传统应急风险模型,新风险模型能降低24.90%的单位运输成本和20.64%的应急搜救时间;推荐的增广加权切比雪夫法能在16s内求解不同规模的优化问题。
To improve the efficiency of subway emergency rescue and scheduling,a collaborative optimization method for subway emergency rescue and scheduling during heavy rainstorms is proposed to decide the emergency facility location,route design,rescue team allocation and vehicle scheduling.Firstly,based on the underground space structure of subway station and the resistance of water flow suffered by the trapped people,emergency rescue risk assessment is designed.Secondly,with the minimization of total cost and risk,a bi-objective optimization model is constructed,and the solution produced is designed through three multi-objective solving methods.Finally,the emergency management of Guangzhou Metro is applied to demonstrate the workability of proposed model and method.The new model and algorithm can provide a number of effective schemes,and the calculation results show that compared with the current situation of emergency management,the new optimization scheme can reduce the total risk by 14.29%and shorten the transportation time of the emergency rescue team by 12.16%.Compared with the traditional emergency risk model,the new risk model can reduce the unit transportation cost by 24.90%and the emergency search time by 20.64%.The recommended augmented weighted Chebyshev method can solve optimization problems of different scales within 16 seconds.
作者
贾婷婷
赵佳虹
柯紫琪
乌婕
JIA Tingting;ZHAO Jiahong;KE Ziqi;WU Jie(School of Civil and Transportation Engineering,Guangdong University of Technology,Guangzhou 510006,China)
出处
《交通科技与经济》
2024年第5期10-17,共8页
Technology & Economy in Areas of Communications
基金
国家自然科学基金项目(61803091)
广东省自然科学基金项目(2022A1515010192)。
关键词
交通工程
应急救援与调度
多目标优化
特大暴雨
地铁
应急救援风险
traffic engineering
emergency rescue and scheduling
multi-objective optimization
heavy rainstorms
subway
emergency rescue risk
