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Urban traffic signal two-stage combination fuzzy control and Paramics simulation

机译:城市交通信号两阶段组合模糊控制与参数仿真

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In the light of more traffic status variables are considered under low traffic flow in traffic intensity-based two-stage fuzzy control for urban traffic signals, thus leading to the inefficiency of traffic states weakening at isolated intersections. This paper introduces a two-stage combination fuzzy optimal controller for traffic signals at urban isolated intersections: the proposed controller adopts 0–1 combination; depending on the traffic status at intersections, the combination of variables of traffic status of fuzzy controller's inputs will be determined; and the single-stage controller is applied under low traffic flow, while the traffic intensity-based two-stage fuzzy controller is used under medium or high traffic flow. Experiment is carried on a typical urban isolated intersection and performance of proposed model and algorithm is validated via Paramics. Furthermore, four kinds of control strategies are extensively simulated on different simulations scenes. Simulation results indicate that the proposed controller is able to choose status variables based on traffic status features at isolated intersections and the signal strategy derived from the proposed controller is more effective.
机译:考虑到更多的交通状况变量,在低交通流量下基于城市交通信号的基于交通强度的两阶段模糊控制中考虑了交通效率,从而导致在孤立的十字路口交通状态减弱的低效率。本文介绍了一种针对城市隔离路口的交通信号的两阶段组合模糊优化控制器:该控制器采用0-1组合;根据交叉口的交通状况,确定模糊控制器输入的交通状况变量的组合;在交通流量低的情况下采用单级控制器,在交通流量中等或较高的情况下采用基于交通强度的两级模糊控制器。在典型的城市隔离路口进行实验,并通过Paramics验证了所提出模型和算法的性能。此外,在不同的模拟场景中广泛模拟了四种控制策略。仿真结果表明,所提出的控制器能够基于孤立路口的交通状态特征来选择状态变量,并且从所提出的控制器得出的信号策略更为有效。

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