“SmartGo”-具有违规者检测功能的智能交通控制系统

D.M.K.P. Dissanayake, W.B.W.M.R.U.P.U. Aluvihare, K.T. Weerasooriya N, Rajapaksha K.D, G.W.D. Gunarathne A, M.G.N. Pemadasa M
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引用次数: 0

摘要

在斯里兰卡,道路交通主要由交通灯控制系统(TLCS)管理。传统的交通信号存在许多问题,包括在十字路口进行无效的时间管理。司机和行人更愿意使用TLCS,没有任何困难。本研究的目的是利用视频监控和图像处理技术实现一个实时的系统。该系统将方便车辆在最短的等候时间内通过交通灯,并根据残疾人士的人数利用时间。通过实时数据处理的检测,将很快释放应急车辆。该系统具有最高的车辆计数检测精度水平,接近92%。红灯违规者检测系统,准确率达88.6%。SmartGo还可以检测紧急车辆并平滑通过交通灯,其中包括准确率为82.3%的YOLOv5模型。随后,微调YOLOv5用于检测车辆和行人。实验数据表明,该方法的检测准确率为90%。SmartGo是一个不同于斯里兰卡现有交通灯控制系统的综合系统,为司机和行人提供灵活高效的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“SmartGo” – Intelligent Traffic Controlling System with Violators Detection
Road traffic is mostly regulated by Traffic Light Control Systems (TLCS) in Sri Lanka. Conventional traffic signals have many problems, including unproductive time management at road intersections. Drivers and pedestrians would prefer to use the TLCS without any difficulties. The study aims to implement a system on a real-time basis using video monitoring and image processing technology. The system will facilitate vehicles to pass the traffic lights within a minimum waiting time and utilize time according to the number of disabled persons. Emergency vehicles will be released soon by detection using real-time data processing. This system includes the highest vehicle count detection accuracy level, nearly 92%. and the red-light violators’ detection system with an accuracy of 88.6%. SmartGo also detects emergency vehicles and smooths the way of passing through the traffic lights, including a YOLOv5 model with an accuracy of 82.3%. Subsequently, a fine-tuning YOLOv5 is then used to detect vehicles and pedestrians. According to experimental data, the suggested method provides a detection accuracy of 90%. SmartGo is a comprehensive system different from the existing traffic light control system in Sri Lanka which provides flexible and efficient service to both drivers and pedestrians.
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