基于宏观基本图的城市拥堵区域优化研究

Research on Optimization of Urban Congestion Area Based on Macroscopic Fundamental Diagram

为了解决交通高峰时段城市部分区域因需求过大而导致拥堵且通行效率低下问题,设计了基于不同拥堵程度的子区域宏观基本图(Macroscopic fundamental diagram MFD),建立拥堵区域优化控制模型,利用模型预测(Model Predictive Control MPC)方法获得最优解。根据谱聚类方法将路网划分为拥堵与非拥堵区域,获得清晰的MFD曲线,在此基础上建立优化模型,并用遗传算法对处理过的目标函数进行求解。仿真实验结果表明,在该模型的作用下,拥堵区域的拥堵情况得到明显改善,区域通行能力得到了优化。

In order to solve the problem of congestion and low efficiency due to excessive demand in some areas of the city during traffic peak hours,a macroscopic fundamental diagram(MFD)of sub-areas based on different congestion levels is designed to establish an optimal control model for congested areas.This problem is solved by model predictive control(MPC).According to the spectral clustering method,the road network is divided into congested and non-congested areas,and a clear MFD curve is obtained.Based on this, an optimization model is established,and the processed target function is solved by genetic algorithm.The simulation results show that under the action of the model,the traffic volume of the road network in the congested area and the cumulative number of completed vehicles in the whole area are optimized.