Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events

Zhou Qian-qian; Li A-ting; Zhang Xi

doi:10.12052/gdutxb.170174

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Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events

更新时间：2026-05-27

- Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events
- Vol. 35, Issue 4, Pages: 81-85(2018)
- 作者机构：
  
  广东工业大学　土木与交通工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.170174
  CLC： TU992
- Online First：09 July 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
周倩倩, 李阿婷, 张茜. 城市暴雨内涝对交通的影响及路线优化对策[J]. 广东工业大学学报, 2018, 35(4): 81-85.

Zhou Qian-qian, Li A-ting, Zhang Xi. Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events[J]. 2018, 35(4): 81-85.
周倩倩, 李阿婷, 张茜. 城市暴雨内涝对交通的影响及路线优化对策[J]. 广东工业大学学报, 2018, 35(4): 81-85. DOI： 10.12052/gdutxb.170174.

Zhou Qian-qian, Li A-ting, Zhang Xi. Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events[J]. 2018, 35(4): 81-85. DOI： 10.12052/gdutxb.170174.

摘要

城市内涝的频频发生严重影响城市交通秩序和出行者的安全. 城市暴雨洪涝对交通的影响以及路线的优化选择应得到更多的关注和研究. 本文介绍了一种基于城市暴雨内涝管理模型SWMM水动力模拟

结合Dijkstra最短路径算法

对暴雨情境下的城市内涝积水点进行模拟和识别

评估极端降雨对交通网络的影响以及受涝区域最佳交通路径的选择. 结果表明

该法可将SWMM模拟的动态内涝信息及时反馈到城市交通网络模型中

评价雨洪情境下管网节点或管段的积水阻断状态

有效求解暴雨情境下的规避路径. 此法充分结合内涝模拟系统与交通路线分析

具有空间能力分析强、规划效率高的特点

为研究极端暴雨天气对城市交通的影响以及应急管理和疏通提供支持

具有重要的现实意义.

Abstract

Urban floods can cause severe damage to vehicles

and disruption to transportation systems and people's life. Vulnerability analysis of urban traffic system and route selection and optimization under flooding circumstance require more public attention and academic research. An SWMM-based hydrodynamic model is introduced

integrated with the Dijkstra best-route algorithm

for assessing urban flood-prone areas and the related impacts on traffic system

as well as the selection of best traffic route in the flooding context. This method is capable of incorporating the SWMM flooding simulation results into urban transportation network model. Based on indications of overloaded manholes and pipes

our tool employs the Dijkstra algorithm to dynamically avoid the flooding paths. The method fully integrates flooding simulation capabilities and route analysis techniques and has several advances

including a powerful spatial analysis function and an efficient planning and query function. Our tool can be used as a support for flooding traffic alert and emergency system

and has important practical implications for urban traffic management.

关键词

Keywords

references

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HUANG G R, HUANG J, YU H J, et al . Secondary development of storm water management model SWMM based on GIS [J ] . Water Resources and Power, 2011, 29(4): 43-45.

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