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。
An optimal control model of on-ramp metering was constructed, which was based on the dynamic discrete traffic flow model in multilane freeway.
建立了一个基于多车道动态离散交通流模型的高速公路入口匝道流量优化控制模型。
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。
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