The control for speed limit on expressway is a nonlinear and time variable system, it is difficult to simulate with a mathematical model. A neuro-fuzzy network is proposed to solve the problem.
高速公路限速控制是一个非线性时变系统，难于用数学模型准确建模，提出一种模糊神经网络实现限速控制。
When the traffic demand is too high that ramp metering is not effective anymore, the variable speed limit control is needed to relieve the congestion.
但是当高速公路严重拥挤时，匝道控制不再有效，需结合主线可变限速控制，以缓解交通拥挤。
Therefore, an effective combination of ramp metering and variable speed limit control is important to achieve a good performance.
由此，匝道调节率与可变速度限制间高效的联合控制对于提高道路性能显得尤为重要。
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