考虑暴雨灾害动态影响的城市应急车辆救援路径优化研究

doi:10.16097/j.cnki.1009-6744.2024.03.008

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (3): 75-82.DOI: 10.16097/j.cnki.1009-6744.2024.03.008

• 综合交通运输体系论坛 • 上一篇下一篇

考虑暴雨灾害动态影响的城市应急车辆救援路径优化研究

胡晓伟^a,b，卢泓博^a,b，安实^*a,b

哈尔滨工业大学，a. 交通科学与工程学院；b. 黑龙江省智能交通管理与技术重点实验室，哈尔滨 150090

收稿日期:2023-12-04 修回日期:2024-03-26 接受日期:2024-03-29 出版日期:2024-06-25 发布日期:2024-06-23
作者简介:胡晓伟(1984- )，男，河南南阳人，副教授，博士
基金资助:
国家自然科学基金(52272332)；黑龙江省自然科学基金(YQ2021E031)；中央高校基本科研业务费专项资金(HIT.OCEF.2022026)

Optimization of Urban Emergency Vehicle Rescue Route Considering Dynamic Impact of Rainstorm Disasters

HU Xiaowei^a,b , LU Hongbo^a,b , AN Shi^*a,b

a. School of Transportation Science and Engineering; b. Heilongjiang Key Laboratory of Intelligent Transportation Management and Technology, Harbin Institute of Technology, Harbin 150090, China

Received:2023-12-04 Revised:2024-03-26 Accepted:2024-03-29 Online:2024-06-25 Published:2024-06-23
Supported by:
National Natural Science Foundation of China (52272332)；Natural Science Foundation of Heilongjiang Province, China (YQ2021E031)； The Fundamental Research Funds for the Central Universities (HIT.OCEF.2022026)

摘要/Abstract

摘要： 近年来，极端天气事件发生频次不断增加，强度不断加大，其中，由暴雨引发的城市内涝导致交通应急事件发生概率进一步增大。为提升暴雨灾害下应急救援响应速度，本文开展应急车辆救援路径优化研究。以通行时间最短为目标，考虑路面积水对车辆通行速度的动态影响，构建应急车辆救援路径优化模型，提出动态最短路径优化算法求解模型。选取上海市长宁区东北部作为研究区域，根据SWMM(Storm Water Management Model)模拟得到的50年一遇暴雨条件下城市道路路面的积水情况，设定应急救援场景，求解应急救援路径。通过本文提出算法求解得到的路径与传统静态最短路径算法求解结果对比可知，通行用时同比减少了25.42%。同时，考虑应急物资储备情况分配应急救援任务，扩展了算法的应用场景，形成可靠和高效的应急响应方案，可为提升暴雨灾害下应急响应效率提供参考。

关键词: 城市交通, 应急救援, 贪心策略, 路径优化, 暴雨灾害

Abstract: In recent years, the frequency and intensity of extreme weather events show an increasing trend, in which the urban inland flooding caused by heavy rains escalates the likelihood of traffic emergencies. To accelerate emergency rescue during the rainstorm disasters, this study focuses on the optimization of emergency vehicle rescue routes under such conditions. To minimize the passage time considering the dynamic impact of road water on vehicle passing speed, this paper develops an emergency rescue path optimization model. A dynamic shortest path optimization algorithm is proposed to solve the model. The northeast of Changning District of Shanghai is chosen as the study area. According to the water accumulation of the urban road surface under the condition of a rainstorm in 50 years simulated by the Storm Water Management Model (SWMM), the paper sets the emergency rescue scenario and solves the emergency rescue path. By comparing the path solved by the proposed algorithm with the traditional static shortest path algorithm, the traffic time is reduced by 25.42%. Furthermore, this paper also considers the emergency supplies reserve to allocate emergency rescue tasks, expands the application scenarios of the algorithm, and forms a reliable and efficient emergency response scheme, which provides a reference for improving the efficiency of emergency response under rainstorm disasters.

Key words: urban traffic, emergency rescue, greedy strategy, route optimization, rainstorm disasters

中图分类号:

U121

胡晓伟, 卢泓博, 安实. 考虑暴雨灾害动态影响的城市应急车辆救援路径优化研究[J]. 交通运输系统工程与信息, 2024, 24(3): 75-82.

HU Xiaowei, LU Hongbo, AN Shi. Optimization of Urban Emergency Vehicle Rescue Route Considering Dynamic Impact of Rainstorm Disasters[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(3): 75-82.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2024.03.008

http://www.tseit.org.cn/CN/Y2024/V24/I3/75

参考文献

[1] 陈华伟, 邵毅明, 敖谷昌, 等. 研究降雨事件对交通流时空特性的影响[J]. 交通运输系统工程与信息, 2020, 20(4): 244-252. [CHEN H W, SHAO Y M, AO G C, et al. The effects of rainfall events on spatio-temporal characteristics of traffic flow are studied [J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 244-252.]

[2] ZHANG Z H, HE Q, GOU J Z, et al. Performance measure for reliable travel time of emergency vehicles[J]. Transportation Research Part C: Emerging Technologies, 2016, 65: 97-110.

[3] CAMPBELL A M, VANDENBUSSCHE D, HERMANN W. Routing for relief efforts[J]. Transportation Science, 2008, 42(2): 127-145.

[4] 刘杨, 云美萍, 彭国雄. 应急车辆出行前救援路径选择的多目标规划模型 [J]. 公路交通科技, 2009, 26 (8): 135-139. [LIU Y, YUN M P, PENG G X. Multi-objective planning model of rescue path selection for emergency vehicles before travel[J]. Highway Traffic Technology, 2009, 26(8): 135-139. ]

[5] WEI X, CHANG X Q. The optimization design of emergency logistics distribution path based on ant colony algorithm[C]//Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation, Paris: Atlantis Press, 2016.

[6] YAO J, SHAO C W, XIA X M, et al. A multi-objective emergency vehicle scheduling optimization model[J]. International Journal of Sensor Networks, 2020, 34(4): 236-243.

[7] ZHAO J D, GUO Y J, DUAN X H, et al. Dynamic path planning of emergency vehicles based on travel time prediction[J]. Journal of Advanced Transportation, 2017 (2017): 1-14.

[8] 魏航, 刘璇. 时变随机网络下基于成功和风险的应急路径选择研究[J]. 管理工程学报, 2010, 24(2): 68-74. [WEI H, LIU X. Research on emergency path selection based on success and risk in time-varying stochastic networks[J]. Journal of Management Engineering, 2010, 24(2): 68-74.]

[9] 杨枫, 种大双. 应急车辆动态路径选择的两阶段优化模型[J]. 交通运输系统工程与信息，2022, 22(3): 84- 92. [YANG F, ZHONG D S. A two-stage optimization model for dynamic routing of emergency vehicles[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(3): 84-92.]

[10] EHMKE J F, CAMPBELL A M, THOMAS B W. Vehicle routing to minimize time dependent emissions in urban areas[J]. European Journal of Operational Research, 2016, 251(2): 478-494.

[11] 马晨威. 基于时变网络的城市路网应急车辆路径选择研究 [D]. 重庆: 重庆交通大学，2020. [MA C W. Research on urban road network emergency vehicle routing based on time-varying network[D]. Chongqing: Chongqing Jiaotong University, 2020.]

[12] BAI Y, DANIEL B, LAUREN H B, et al. Risk and resilience analysis tool for infrastructure asset management[R]. Rutgers University: Center for Advanced Infrastructure and Transportation, 2022.

[13] 王殿海, 黄莉莎, 曾佳棋, 等. 降雨对城市路网交通状态的影响机理[J]. 交通运输系统工程与信息, 2023, 23 (3): 48-55, 65. [WANG D H, HUANG L S, ZENG J Q, et al. Influence mechanism of rainfall on traffic state of urban road network[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 48-55, 65.]

[14] 杜磊, 杨晓宽. 不同道路积水情况对交通影响及造成损失的研究[C]//科技创新绿色交通: 第十一次全国城市道路交通学术会议论文集. 大连: 中国土木工程学会, 2011: 389-393. [DU L, YANG X K. Study on the impact of traffic and loss caused by different inundation depth [C]// Technological Innovation, Green Transportation: Proceedings of the 11th National Urban Road Transportation Academic Conference. Dalian: China Civil Engineering Society, 2011: 389-393.]

[15] 百度. 百度地图开放平台 Javascript API[EB/OL]. (2017-12-27) [2023-03-10]. http://lbsyun.baidu.com/ index.php?title=jspopular3.0. [Baidu. Baidu map open platform Javascript apis [EB/OL]. (2017-12-27) [2023-03-10]. http://lbsyun.baidu.com/index.php?title= jspopular3.0.]

[16] 上海市质量技术监督局. DB31/T 1043-2017暴雨强度公式与设计雨型标准[S]. 北京: 中国建筑工业出版社, 2017. [Shanghai Municipal Bureau of Quality and Technical Supervision. DB31/T 1043-2017 Rainstorm intensity formula and design rain pattern standard[S]. Beijing: China Architecture and Construction Press, 2017.]

[17] ROSSMAN L A. Storm water management model user's manual, version 5.0[M]. Cincinnati: National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency, 2010.

[18] 中华人民共和国住房和城乡建设部, 国家市场监督管理总局. GB 55011-2021 城市道路交通工程项目规范[S]. 北京: 住房和城乡建设部, 2021. [Ministry of Housing and Urban-Rural Development of the People's Republic of China, State Administration for Market Regulation. GB 55011-2021 Urban road traffic engineering project code[S]. Beijing: Ministry of Housing and Urban-Rural Development, 2021.]

[19] 上海市规划和自然资源局 . 关于上海市长宁区单元规划(含重点公共基础设施专项规划)的草案公示 [EB/OL]. (2020-11-16) [2024-01-10]. https://ghzyj. sh. gov. cn/ghgs /20201116/ 3b5ed6b8785945f791c3b5ed6b8785945f791c380974e97 beab.html. [Shanghai Bureau of Planning and Natural Resources. The publicized draft of the unit plan for Changning District of Shanghai (including the special plan for key public infrastructure) [EB/OL]. (2020- 11- 16)[2024-01-10]. https://ghzyj.sh.gov.cn/ghgs/20201116/ 3b5ed6b8785945f791c380974e97beab.html.]

考虑暴雨灾害动态影响的城市应急车辆救援路径优化研究

Optimization of Urban Emergency Vehicle Rescue Route Considering Dynamic Impact of Rainstorm Disasters

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	王娟, 程玉丽, 杨雨菡, 张英贵. 考虑碳排放的长大货物多式联运路径优化[J]. 交通运输系统工程与信息, 2024, 24(4): 1-11.
[2]	牛振宁, 安琨, 马万经. 车网互动场景下电动网约车运营与充放电动态调度策略[J]. 交通运输系统工程与信息, 2024, 24(4): 50-59.
[3]	邓明君, 李书行, 李响, 张兵, 薛运强. 基于主线密度预测的快速路入口匝道控制方法[J]. 交通运输系统工程与信息, 2024, 24(4): 94-104.
[4]	李铁柱, 谢炳言, 刘天昊, 陈海波, 王召. 基于规则的信号交叉口纯电动公交节能驾驶策略[J]. 交通运输系统工程与信息, 2024, 24(4): 139-150.
[5]	姚恩建, 王鑫, 刘莎莎, 杨扬, 李成. 考虑机会充电与行程时间可靠性的区域多车型电动公交调度优化[J]. 交通运输系统工程与信息, 2024, 24(4): 151-165.
[6]	熊杰, 梁晶晶, 李向楠, 窦雪萍, 李同飞. 考虑分时电价和多车型的电动公交行车计划优化[J]. 交通运输系统工程与信息, 2024, 24(4): 188-199.
[7]	李洪运, 江志彬, 谷金晶, 刘伟, 王炳勋. 轨道交通远郊区段计划性停运对常乘客的转移影响[J]. 交通运输系统工程与信息, 2024, 24(4): 212-222.
[8]	陈红, 李晨光, 王铎, 段超杰, 姚振兴. 空间异质下地铁建成环境与站点覆盖客流吸引度关系研究[J]. 交通运输系统工程与信息, 2024, 24(4): 253-262.
[9]	易洪波, 刘昱岗, 王童语. 考虑空间需求不均的模块化公交线路运行方案优化研究[J]. 交通运输系统工程与信息, 2024, 24(4): 166-175.
[10]	翁剑成, 乔润童, 王茂林, 林鹏飞, 刘冬梅, 张晓亮. 考虑场景差异性的混合车型公交调度优化方法[J]. 交通运输系统工程与信息, 2024, 24(4): 176-187.
[11]	关昊天, 戢晓峰, 李武, 陈方, 邓若凡. 建成环境对共享单车与地铁组合出行的影响关系[J]. 交通运输系统工程与信息, 2024, 24(4): 200-211.
[12]	张伯男, 姚向明, 赵鹏, 杨中平, 杨建国. 考虑高平峰差异的城市轨道交通节能运行图优化研究[J]. 交通运输系统工程与信息, 2024, 24(3): 164-171.
[13]	温芳, 柏赟, 陈垚. 考虑快慢车的城轨跨线运营开行方案与时刻表优化[J]. 交通运输系统工程与信息, 2024, 24(3): 172-183.
[14]	冉昕晨, 陈坚, 陈绍宽, 刘葛辉, 邹庆茹. 城市轨道交通多编组列车时刻表和车底周转综合优化研究[J]. 交通运输系统工程与信息, 2024, 24(3): 184-193.
[15]	鲁文博, 张永, 李培坤, 王亭, 丛雅蓉. 自适应多视图融合图神经网络地铁客流预测模型[J]. 交通运输系统工程与信息, 2024, 24(3): 194-203.