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A Prototype of Density-Based Intelligent Traffic Light Control System Using Image Processing Technique and Arduino Microcontroller in Lab VIEW Environment

机译:Lab VIEW环境中基于图像处理技术和Arduino微控制器的基于密度的智能交通灯控制系统原型

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Nowadays traffic congestion is a serious issue associated with transportation, the backbone of the economy of a city. Because of the rise in population and number of vehicles on a road, traffic jam is very common all over the world. Congestion not only rises pollution, stress, frustration but also wastes money, fuel. Another serious cause of congestion is the delay in red light at a junction. In our work, we proposed a technique to optimize the red light ON duration of traffic light controller depending on traffic. Regulation of road traffic at each junction in a city is the main aim of our work. Our system measures traffic density at different lanes at a junction and accordingly changes the time delay of red light. This system controls the traffic light by image processing using MATLAB. Cameras are installed for each lane to capture the image, which is analyzed by Lab VIEW to detect congestion on a particular lane and according to congestion, the green light of each lane is controlled from that lane using Arduino microcontroller.
机译:如今交通拥堵是一个与交通运输相关的严重问题,是一个城市经济的骨干。由于道路上的人口和车辆数量的增加,交通堵塞在世界各地都很普遍。拥堵不仅上升污染,压力,沮丧,而且浪费了钱,燃料。另一个严重的拥塞原因是交界处的红光延迟。在我们的工作中,我们提出了一种技术来优化根据流量的交通光控制器持续时间的红光。在城市的每个交界处调整道路交通是我们工作的主要目标。我们的系统在交叉点处测量不同通道的流量密度,因此改变了红光的时间延迟。该系统通过使用MATLAB通过图像处理来控制流量。安装摄像机,用于捕获每个车道以通过实验室视图分析图像以检测特定车道上的拥塞,并且根据拥塞,使用Arduino微控制器从该通道中控制每个通道的绿灯。

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