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A New Control Strategy of Variable Lane Based on Video Detection

机译:基于视频检测的变车道控制新策略

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A control method of variable lane based on video detection is proposed in this paper to handle the adaptive switching of the lane's oriented attribute. Based on the image calibration, visual loop detectors are built up in the surveillance video of the intersection. Then, the characteristics of the traffic flow, such as flow rate, velocity, queue length, can be obtained by the video detection based on these detectors in real time. With further analysis of the traffic flow in the channelized lane, the variable lane's orientation is determined for the objective of enlarging the traffic capacity of the intersection. Based on the simulation on the software VISSIM, we verify that the proposed method can enhance the traveling capability and reduce the congestion, compared with the original control method.
机译:提出了一种基于视频检测的可变车道控制方法,以适应车道方向属性的自适应切换。基于图像校准,在路口的监控视频中建立了视觉环路检测器。然后,基于这些检测器的视频检测可以实时获得交通流的特征,例如流量,速度,队列长度。通过进一步分析通道化车道中的交通流量,可以确定可变车道的方向,以扩大交叉路口的通行能力。通过在VISSIM软件上的仿真,我们验证了与原始控制方法相比,该方法可以提高出行能力,减少交通拥堵。

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