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Density based smart traffic control system using canny edge detection algorithm for congregating traffic information

机译:基于Canny边缘检测算法的交通智能密度控制系统

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As the problem of urban traffic congestion intensifies, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. The current methods used such as timers or human control are proved to be inferior to alleviate this crisis. In this paper, a system to control the traffic by measuring the real-time vehicle density using canny edge detection with digital image processing is proposed. This imposing traffic control system offers significant improvement in response time, vehicle management, automation, reliability and overall efficiency over the existing systems. Besides that, the complete technique from image acquisition to edge detection and finally green signal allotment using four sample images of different traffic conditions is illustrated with proper schematics and the final results are verified by hardware implementation.
机译:随着城市交通拥堵问题的加剧,迫切需要引入先进的技术和设备来改善最新的交通控制。事实证明,当前使用的方法(如计时器或人为控制)不如缓解这种危机的方法。在本文中,提出了一种通过使用Canny边缘检测和数字图像处理来测量实时车辆密度的交通控制系统。与现有系统相比,这种强大的交通控制系统在响应时间,车辆管理,自动化,可靠性和整体效率方面都有显着改善。除此之外,还使用适当的示意图说明了从图像获取到边缘检测以及最后使用四个交通状况不同的样本图像分配绿色信号的完整技术,并通过硬件实现对最终结果进行了验证。

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