Due to the traits of nonlinear, capacity of study, adaptivity and anti-interference, neural-fuzzy network is suitable for the control of ramp metering.
鉴于模糊神经网络具有良好的非线性特性、学习能力、自适应能力和抗干扰能力，本文将模糊神经网络技术引入到高速公路入口匝道控制中。
Ramp metering is regarded as one of the best control strategies for freeway traffic system and is widely used.
在高速公路控制方法中，入口匝道控制是应用最广、效果最好的一种控制方法。
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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