城市快速路分层分布式优化控制方法研究

针对城市快速路控制系统对实时道路交通状况不能及时、有效地响应问题，利用时变的交通状态估计与OD矩阵预测信息，基于智能交通控制及分层分布式思想，提出一个新颖的城市快速路匝道控制方法. 采用基于多项式趋势模型的滤波方法对路段总的交通需求进行估计与预测，提前确定道路将来排队长度的上界；对快速路网未来的交通状态进行预测，基于全局最优的思想，提前为路网中各个匝道建立协调约束，为匝道调节率的制定提供依据. 仿真结果表明，分层分布式的快速路控制系统通过协调各个匝道之间的利益，能够有效缓解高峰出行时的拥堵现象，对实现城市快速路网整体性能优化具有现实意义.

Hierarchical and Distributed Optimal Control Research on Urban Freeway Network

In order to solve the problem that the current urban freeway control system cannot make a timely and effective response to the real-time road traffic situation. Based on information of time-varying traffic state estimation and OD matrix prediction, according to the intelligent transportation and the distributed and hierarchy idea, a novel optimal control strategy on urban freeway is proposed. Firstly, the total traffic demands in a long time was predicted in advance by polynomial trend filtering, and the upper bound of the future queue length was made; Secondly, the future traffic state was predicted and the harmonious restrictions for each ramp were built based on global optimum to make a reference for ramp rate. The simulation results show that the hierarchical and distributed optimal control system can effectively alleviate the congestion by coordinating the interests of each ramp. It has certain practical significance to optimize the overall performance of urban expressway network.