Abstract: An evaluation method for the optimization of microcirculation traffic organization based on the macroscopic fundamental diagram (MFD) was proposed, so as to analyze the impact of microcirculation traffic organization on regional traffic states from a macroscopic perspective. Firstly, a micro-circulation traffic organization scheme was constructed based on stochastic network loading (SNL) and the actual road network. Secondly, the MFD model was established using route length, traffic volume, road travel probability, and the impact of non-motor vehicles on the micro-circulation traffic system as variables. Based on this, a micro-circulation traffic organization evaluation model was obtained. Finally, the actual road network of Kunming was selected as the test object for traffic simulation analysis. By dividing the area into large and small sections, MFD evaluation was conducted on three kinds of micro-circulation traffic organization schemes with setting the shortest path, the maximum flow path and the maximum travel probability path as one-way streets. When the shortest path was designated as a one-way path, the maximum service flow in small road network areas and large road network areas increased by 22.6% and 15.8%, respectively. When the path with the largest traffic volume was designated as a one-way road, the maximum service flow in small road network areas and large road network areas increased by 11.1% and 10.6%, respectively. When the path with the highest travel probability was designated as a one-way path, the maximum service flow in small road network areas and large road network areas increased by 31.5% and 27.6%, respectively. The proposed model can effectively evaluate micro-circulation traffic organization schemes of different road network scales and provide a scientific evaluation basis for the formulation of micro-circulation road network control schemes.

Key words: traffic engineering; urban traffic; micro-circulation traffic organization; macroscopic fundamental diagram; stochastic network loading; graph theory; traffic simulation

摘要： 提出了一种基于宏观基本图（macroscopic fundamental diagram，MFD）的微循环交通组织优化评价方法，旨在从宏观层面分析微循环交通组织对区域交通状态的影响。首先，基于随机网络加载（stochastic network loading，SNL）和实际路网，构建微循环交通组织方案；其次，根据微循环交通组织方案的路线长度、交通量、道路出行概率和非机动车对微循环交通系统的影响作为变量建立MFD模型，得出基于MFD的微循环交通组织评价模型；最后，以昆明市实际路网为测试对象进行交通仿真分析，通过划分大小片区，对设置最短路径、最大流量路径和最大出行概率路径为单行道的3种微循环交通组织方案进行MFD评价。将最短路径指定为单向路径时，小型路网区域和大型路网区域的最大服务流量分别提升22.6%、15.8%；将交通流量最大的路径作为单行道时，小型路网区域和大型路网区域的最大服务流量分别提升11.1%、10.6%；将出行概率最大的路径指定为单向路径时，小型路网和大型路网区域的最大服务流量分别提升31.5%、27.6%。文中模型能有效评估不同路网规模的微循环交通组织方案，为微循环路网管控方案制定提供科学评价依据。

关键词: 交通工程； 城市交通；微循环交通组织；宏观基本图；随机网络加载；图论；交通仿真