Abstract:

On-ramp metering is an effective tool for traffic management on freeway networks． In this paper，based on the ordinary differential equation( ODE) model of the ramp system，a new fuzzy self-tuning PI controller for freeway ramp metering is designed． By considering the upstream and downstream traffic flow information sufficiently，the designed PI controller can effectively suppress the influence of the system disturbances． Furthermore，a fuzzy logic is esigned to tune of the PI controller parameters automatically． Compared with both PID and ALINEA approaches，the simulation results illustrate the validity and efficiency of the presented method intensively．

Key words: freeway traffic systems, on-ramp metering, PI controller, fuzzy self-tuning, ALINEA

摘要：

入口匝道调节是快速路交通控制中较有效的一种方式，现基于快速路交通系统的常微分模型，设计了一种新的入口匝道的模糊自整定PI 控制方法，充分利用了上游路段流入的交通流量和向下游路段流出的交通流量信息进行控制律更新，有效抑制了系统扰动等不确定性因素的影响。设计了相应的模糊控制逻辑，实现了复杂交通系统实际控制过程中的PI控制器参数的模糊自整定。仿真研究中，与传统PID 和ALINEA 方法进行了充分比较，说明了所提出方法的有效性。

关键词: 快速路交通系统, 入口匝道控制, PI 控制器, 模糊自整定, ALINEA