基于MFD的城市区域过饱和交通信号优化控制

为了解决交通高峰时段城市区域路网过大的交通需求引起的路网通行效率下降以及区域内部交通流分布的异质性产生的道路资源浪费等问题.本文提出了基于区域路网固有属性宏观基本图（Macroscopic fundamental diagram，MFD）的过饱和区域控制优化模型，建立了边界控制信号和内部控制信号目标函数的双层规划优化，进一步设计了基于BP（Back propagation）神经网络的自适应动态规划（Adaptive dynamic programming，ADP）模型，对建立的双层规划区域交通信号进行求解，实例仿真结果验证了本文方法的有效性.通过本文的研究分析，对城市区域交通的需求管控、拥堵政策制定等城市区域交通管理具有一定的指导意义.

Urban Area Oversaturated Traffic Signal Optimization Control Based on MFD

In order to solve traffic efficiency reduction of road network, which is caused by overlarge traffic demand of urban regions at peak hours, and resource waste of roads due to the heterogeneity of traffic distribution, this paper proposes an optimization model of control for oversaturated area based on inherent attributes macroscopic fundamental diagram (MFD) of regional road network, and builds up the bi-level programming optimization of objective function for boundary and internal signal control. Furthermore, an adaptive dynamic programming (ADP) model based on back propagation (BP) neural network is employed to solve the regional signal control of bi-level programming. Simulation results verify the validity of this method. The investigation of this paper has certain guidance for urban traffic management such as control and management of traffic demand, formulation of congestion policy, etc.