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Coordinate Signal Control in Urban Traffic of Two-direction Green Wave based on Genetic BP Neural Network

机译:基于遗传BP神经网络的双向绿波城市交通坐标信号控制

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To maximize the bandwidth of green wave of trunk road is a main issue in the research of signal control in urban traffic. However, the traditional analytical algorithm can not be applied in actual traffic widely. A novel dynamic two-direction green wave coordinate control strategy was proposed to overcome the problem. By combining the genetic BP neural network with the traditional analytical algorithm, the urban traffic of two-direction was controlled coordinately online. Finally, an actual example was presented. It shows that not only the green wave bandwidth, the phase-difference of each intersection and the critical cycle of trunk road were optimized according to real-time traffic flow, but also our algorithm can be used in different traffic condition by adjusting the parameters of the model.
机译:为了最大限度地提高树干道路的带宽是城市交通信号控制研究的主要问题。但是,传统的分析算法不能广泛应用于实际交通。提出了一种新颖的双向绿波坐标控制策略来克服问题。通过将遗传BP神经网络与传统的分析算法相结合,双向的城市交通在网上协调。最后,提出了实际的例子。它表明,不仅是绿波带宽,根据实时业务流程优化了每个交叉路口的相位差和中继线的临界周期,而且我们的算法可以通过调整参数来在不同的流量条件下使用该模型。

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