摘要
应用中观动态交通仿真模型对城市核心区域进行大范围一体化模拟仿真,能够定量化描述和评价不同交通条件下道路网络特征,对于提高路网运行效率、提升大城市服务水平、实现大城市交通精细化治理至关重要。首先,总结中观动态交通仿真模型的特点和使用场景,提出中观动态交通仿真模型的构建方法;其次,围绕模型构建方法,提出融合交通卡口数据的中观交通模型需求计算方法和基于多源数据融合技术的中观模型关键参数估计方法,支撑中观动态交通仿真模型的构建;最后,以武汉市中心城区为例,对提出的建模方法进行验证和校核。结果显示,模型仿真结果较为准确,能够支撑各类建设方案和管理措施的量化评估。
Utilizing meso traffic simulation models to conduct large-scale integrated simulations of urban core areas can quantitatively describe,evaluate,and optimize road network characteristics under various traffic conditions.This is crucial for improving road network efficiency,enhancing service levels in urban,and achieving refined urban transportation management.Firstly,the characteristics and usage scenarios of meso traffic simulation models are summarized,and a method is proposed for their construction.Secondly,focusing on this model construction method,a macro and meso model demand alignment method that integrates traffic checkpoint data and a meso model key parameter estimation method based on multi-source data fusion technology are introduced,both supporting the construction of meso traffic simulation models.Finally,taking downtown of Wuhan as an example,the modeling method proposed is validated and verified.The results show that the model simulation is relatively accurate,capable of supporting the quantitative evaluation of various construction plans and management measures.
作者
冯明翔
刘振华
李海军
严飞
张子培
李锐
FENG Mingxiang;LIU Zhenhua;LI Haijun;YAN Fei;ZHANG Zipei;LI Rui(Wuhan Planning&Design Institute,Wuhan 430014,China;School of Urban Design Wuhan University,Wuhan 430072,China)
出处
《交通与运输》
2024年第5期13-18,共6页
Traffic & Transportation
基金
武汉市科学技术局知识创新专项“基于多源时空大数据的城市车流仿真模型关键技术研究”(2023010188060014)
武汉市交通强国建设试点科技联合项目基金(2023-2-3)。
关键词
交通仿真
城市交通
多源数据
中观模型
Traffic simulation
Urban traffic
Multi-source data
Meso model
