基于计算机视觉的智能交通灯切换与交通密度计算模型

Sarvesh Ransubhe, Mohammad Abdul Mughni, Chinmay R. Shiralkar, Bhakti Ratnaparkhi
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引用次数: 1

摘要

不同的交通控制系统在全球范围内的交通管理中发挥了至关重要的作用,特别是在人口密集的大城市,但它们仍然没有达到应有的效率。也许在这个不断变化的交通密度环境中,可以做出一些改变来更好地处理交通。在许多城市中,交通拥堵一直是一个令人愤怒的问题。传统的方法是给每个车道一个特定的预定义时间,绿灯,其余时间必须停止。即使是没有交通堵塞的车道和交通堵塞严重的车道也有相同的时间。这些做法加剧了交通拥堵,而不是解决问题。因此,需要一个更好的系统来改变当前的交通处理设置,使其足够智能,以满足不断变化的需求。在本文中,通过一个增强的交通流系统来探索实时视频馈送控制交通灯的想法,以最大限度地从所使用的计算机视觉技术中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Traffic Light Switching and Traffic Density Calculation Model using Computer Vision
Different Traffic control systems have played a crucial part in traffic management around the globe, especially in densely populated major cities, but they are still not as efficient as they could be. Perhaps some changes can be made to better deal with the traffic in this ever-changing traffic density environment. Traffic congestion has consistently been a rage issue in numerous urban cities. The traditional way was to give each lane a specific predefined time with the green light and had to stop for the rest of the time. Even the lanes with no traffic got the same amount of time as the lane with huge traffic jams. These were promoting traffic congestion rather than solving the issue. Thus, the need for a better system has emerged for changing the current traffic handling setup to be smarter enough to meet this ever-changing demand. In this paper, the idea of traffic lights controlled by live video feed is explored with an enhanced traffic flow system to optimally benefit from the computer vision technology used.
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