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An Image Processing and Artificial Intelligence based Traffic Signal Control System of Dhaka

机译:达卡的图像处理与基于人工智能的交通信号控制系统

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Traffic jam is one of the greatest problem of Bangladesh. It affects mostly on its capital city, Dhaka, where density of population is second highest among the world. One of the major reason for occurring traffic jam is inaccuracy of the use of traffic signal. This paper introduces an intelligent traffic control system for four nodes traffic system. This system is entirely controlled by the use of image processing and artificial intelligence techniques. Image processing leads for detecting the density of vehicles by using Haar Cascade method, whereas artificial intelligence helps to modify the timing of traffic signal accurately time by time. These process held automatically and police can monitor from police box all over the time by computer. Moreover, in case of emergency, a manual system is introduced, which can support traffic police to turn the system to manual and operate the timing manually. Finally, traffic data is collected from road and prove the effectiveness of proposed system. This system will support as an extremely effective, self-coordinated and self-organized traffic control appliance.
机译:交通堵塞是孟加拉国最大的问题之一。它影响其主要在其首都达卡,其中人口密度是世界上的第二高。发生交通堵塞的主要原因之一是流量信号使用的不准确性。本文介绍了四个节点流量系统的智能流量控制系统。该系统完全通过使用图像处理和人工智能技术来控制。通过使用HAAR级联方法检测车辆密度的图像处理引线,而人工智能有助于通过时间准确地修改交通信号的定时。这些过程自动持有,警方可以随时从警察箱中监控。此外,在紧急情况下,介绍了手动系统,可以支持交通警察将系统转到手动并手动操作时机。最后,从道路收集交通数据,证明了所提出的系统的有效性。该系统将支持作为极其有效,自协调和自组织的交通管制设备。

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