摘要：针对高速公路交通系统的非线性、时变特性，设计了一种模糊自适应控制器，并将其应用于高速公路匝道控制系统。
Abstract: Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper.
其次，论文设计了两种用于入口匝道控制的神经网络控制器——直接型和积分型。
Secondly, two neural networks controllers for the ramp control are developed, which are the direct controller and the PI controller.
各路段根据协调控制器给定的匝道入口调节率，利用单匝道模糊控制器将系统状态保持在给定的标称点范围内。
The state of every segment on the freeway is maintained near the given rate using single ramp control method by direct controller.
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