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An image processing system to measure vehicular queues and an adaptive traffic signal control by using the information of the queues

机译:通过使用队列信息来测量车辆队列和自适应流量信号控制的图像处理系统

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We have developed an image processing system to measure vehicular queues in approach lanes of an intersection. TV cameras of this system are installed at a height of 10 m or so at an intersection to take images of traffic inflows at a bird's-eye view. This system using a macroscopic detection method allows measurement of queue lengths up to 300 m long if the visibility is good. We also propose a traffic signal control method to adjust signal split using the information of vehicular queues at a critical intersection. We have done simulation experiments to estimate the control efficiencies. The results show that the proposed method follows the optimal split even if the traffic inflow patterns change, and prevents increasing the delay.
机译:我们开发了一种图像处理系统,用于测量交叉路口接近车道中的车辆队列。该系统的电视摄像机安装在十米左右的高度左右,以便在鸟瞰图中拍摄交通流入的图像。使用宏检测方法的该系统允许测量队列长度长达300米,如果可见性好。我们还提出了一种流量信号控制方法,以使用临界交叉口的车辆队列的信息调整信号分割。我们已经完成了模拟实验来估计控制效率。结果表明,即使交通流入模式发生变化,该方法也遵循最佳分裂,并防止增加延迟。

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