基于仿真优化的超大城市内涝场景交通疏导优先级评估  

Simulation-based Optimization for Priority Assessment of Traffic Dredging in Megacity Waterlogging Sections

作　　者：朱玉寒 邓兴栋[2,3] 狄德仕 李冠耀 李政 田野 ZHU Yuhan;DENG Xingdong;DI Deshi;LI Guanyao;LI Zheng;TIAN Ye(Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;Innovation Center,Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China;Guangzhou Collaborative Innovation Center for Resource Planning and Marine Science&Technology,Guangzhou 510060,China)

机构地区：[1]同济大学道路与交通工程教育部重点实验室,上海201804 [2]广州市城市规划勘测设计研究院创新中心,广州510060 [3]广州市资源规划和海洋科技协同创新中心,广州510060

出　　处：《同济大学学报(自然科学版)》2025年第4期574-581,共8页Journal of Tongji University:Natural Science

基　　金：国家杰出青年科学基金(52125208);城市公共交通智能化交通运输行业重点实验室开放课题(202001);国家自然科学基金面上项目(52072129);广东省城市感知与监测预警企业重点实验室基金(2020B121202019);广州市资源规划和海洋科技协同创新中心项目(2023B04J0301,2023B04J0046);科技创新2030—“新一代人工智能”重大项目(2022ZD0115600)。

摘　　要：针对现有研究对动态交通系统刻画精度低、忽视内涝点位间相互作用等不足,提出一种基于仿真优化的城市内涝疏导优先级评估方法。以最大化路网用户平均行程时间为目标,以内涝路段为决策变量构建0-1规划问题;将疏导优先级评估转化为离散优化问题,通过搜索疏导点位组合刻画点位间相互作用。采用中观交通仿真软件DynusT进行路网精细化建模,并利用快速机器学习模型作为代理,实现仿真优化闭环算法,求解路段疏导优先级。最后,以广州市中心城区为例构建仿真模型并进行验证。结果表明,按优先级排序治理后,路网用户平均行程速度较现有方案提升28.72%,验证了方法的准确性。Addressing the limitations of existing research,such as low precision in depicting dynamic traffic systems and insufficient consideration of interactions between flood points,this study presents a simulation-based optimization method for assessing urban flood mitigation priorities.By maximizing the average travel time of road network users as the objective and using flood-affected road sections as decision variables,a 0-1 programming problem is formulated to transform the priority assessment into a discrete optimization problem.The interactions between flood points are captured through the search for optimal mitigation point combinations.A mesoscopic traffic simulation tool,DynusT,is employed for detailed road network modeling,and a fast machine learning model is utilized as a surrogate to enable a closed-loop simulation optimization algorithm for determining mitigation priorities.The method is validated through a case study in the central urban area of Guangzhou.Results demonstrate that implementing mitigation measures based on the priority ranking improve the average travel speed by 28.72%compared to existing solutions,confirming the accuracy of the method.

关 键 词：仿真优化 城市交通 交通仿真 

分 类 号：U491.5[交通运输工程—交通运输规划与管理] U495[交通运输工程—道路与铁道工程]