针对高速公路可变速度控制是一个非线性时变系统,难于用数学模型准确建模这一特点,提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
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。
Therefore, an effective combination of ramp metering and variable speed limit control is important to achieve a good performance.
业务层还控制着可变速度标识,车道结束标志和许多可变信息标志。
The operational layer controls also variable speed signs, lane closing symbols and variable message signs.
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