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Secondary Coordination at Closely Spaced Actuated Traffic Signals

机译:小间距致动交通信号的辅助协调

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This paper presents a method of addressing stochastic variation at closely spaced signalized intersections to provide secondary coordination to "minor" movements with significant traffic volumes. A neurofuzzy signal control system was designed in this study to manage a noncoordinated movement to avoid queue spillback. Building on the conventional actuated-coordinated control system, the neurofuzzy controller does not lose the benefit of the primary coordination of the conventional controller but establishes a "secondary coordination" between the upstream coordinated phase (through phase) and the downstream noncoordinated phase (left-turn phase) on the basis of a realtime traffic demand. Under the neurofuzzy signal control, the traffic from the upstream intersection can arrive and join the queue at the downstream left-turn lane and be served in a timely fashion and thus reduce the likelihood of being delayed at the downstream intersection. The simulation results indicate that the neurofuzzy signal control consistently outperformed the conventional actuated-coordinated controller in terms of reduction in systemwide average delay and number of stops per vehicle under a wide range of traffic volumes by nearly 20% under heavier demand conditions.
机译:本文提出了一种解决紧密间隔的信号交叉口处的随机变化的方法,以为交通量较大的“次要”运动提供辅助协调。在这项研究中,设计了一个神经模糊信号控制系统来管理不协调的运动,以避免队列溢出。在传统的主动协调控制系统的基础上,神经模糊控制器不会失去传统控制器的主要协调优势,而是在上游协调阶段(直通阶段)和下游非协调阶段(左移阶段)之间建立“二次协调”转向阶段)。在神经模糊信号的控制下,来自上游交叉路口的交通可到达下游左转车道并加入队列,并及时得到服务,从而减少了在下游交叉路口被延误的可能性。仿真结果表明,在需求量较大的情况下,神经系统模糊信号控制在整个系统的平均延迟和在大交通量情况下每辆车的停车次数减少近20%方面始终优于传统的主动协调控制器。

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