A Low Cost Intelligent Multi Wireless Sensor Network Perspective on Real Time Traffic Surveillance

I. Rahaman, Md. Farhamdur Reza, M. Hasib, Md. Iqbal Hossain, S. Hossain, Pallab Kumar Sarkar
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引用次数: 6

Abstract

Nowadays Traffic jam has considered as a serious problem in city life. Sufferings due to the increment of vehicles, poor infrastructure including sluggish traffic management process have crossed the tolerance limit. In this paper, a novel technique based on an intelligent sensor network has introduced to ameliorate the running fixed time traffic controller system. Radio-Frequency Identification technique (RFID) to bring information from vehicles and Low power wide area network (LoPWAN), Wireless sensor network (WSN), Low area network (LAN), etc. are used to dispose the proposed traffic controlling system. Experimental results show that the proposed system has 98.26% accuracy in vehicle detection where Vehicle counting is faultless till the speed around 12500m/s. The proposed system is cost efficient as compared with an integrated Virtual Collaborative Conferencing System (iVCCS) system having 11.83$ cost per node. The whole system will be run in strict discipline and controlled systematically through the internet of things (IoT) to monitor the traffic of the road.
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低成本智能多无线传感器网络在实时交通监控中的应用
如今,交通堵塞已被认为是城市生活中一个严重的问题。车辆增加、交通管理等基础设施落后等问题已经超出了容忍极限。本文介绍了一种基于智能传感器网络的新技术来改进固定时间运行的交通控制系统。采用射频识别技术(RFID)从车辆中获取信息,并采用低功耗广域网(LoPWAN)、无线传感器网络(WSN)、低区域网络(LAN)等来配置所提出的交通控制系统。实验结果表明,该系统在车辆检测准确率为98.26%的情况下,车速在12500m/s左右时,车辆计数无故障。与每节点11.83美元的综合虚拟协作会议系统相比,拟议的系统具有成本效益。整个系统将在严格的纪律下运行,并通过物联网(IoT)进行系统控制,以监控道路交通。
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