In a smart city, the subject of the congestion-free traffic has been leading objectives from the past decade, and many approaches are adopted to make congestion-free roads. These approaches and signals at one junction are not inter-linked with the signal at the previous one. Therefore, the traffic flow on the same road and at associative roads is not smooth. The study proposed a model with a hybrid computational approach in which the current signal incorporates the associative signals information. Simulation results have shown that the proposed approach gives more attractive results as compared to previously published approaches. It will help improve the flow of traffic and reduce traffic congestion.

中文翻译：

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使用混合计算方法使用啤酒花进行智能拥塞控制，从而实现智慧城市

在智能城市中，过去十年来，无拥堵交通一直是首要目标，并且采用了许多方法来修建无拥堵道路。一个结点处的这些方法和信号不与前一个结点的信号相互链接。因此，同一条道路和相关道路上的交通流不畅通。该研究提出了一种具有混合计算方法的模型，其中当前信号包含了关联信号信息。仿真结果表明，与以前发布的方法相比，该方法给出了更具吸引力的结果。这将有助于改善交通流量并减少交通拥堵。