同济大学学报（自然科学版）2025，Vol.53Issue(4)：574-581,8.DOI:10.11908/j.issn.0253-374x.23310
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
摘要
Abstract
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Key words
simulation-based optimization/urban transportation/traffic simulation分类
交通运输引用本文复制引用
朱玉寒,邓兴栋,狄德仕,李冠耀,李政,田野..基于仿真优化的超大城市内涝场景交通疏导优先级评估[J].同济大学学报（自然科学版）,2025,53(4):574-581,8.基金项目
国家杰出青年科学基金(52125208) （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) （202001）
国家自然科学基金面上项目(52072129) （52072129）
广东省城市感知与监测预警企业重点实验室基金(2020B121202019) （2020B121202019）
广州市资源规划和海洋科技协同创新中心项目(2023B04J0301,2023B04J0046) （2023B04J0301,2023B04J0046）
科技创新2030—"新一代人工智能"重大项目(2022ZD0115600) （2022ZD0115600）
