An Internet of Things (IoT) based Smart Traffic Management System: A Context of Bangladesh

Abdul Kadar Muhammad Masum, Md. Kalim Amzad Chy, Iaamanur Rahman, Mohammad Nazim Uddin, Khairul Islam Azam
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引用次数: 19

Abstract

With the fast growth of population, traffic congestion monitoring and control has become a great challenge. Increasing vehicles creates lots of problem like time wastage, fuel wastage, air and sound pollution, even death by getting stuck emergency vehicles. This paper proposes a real-time traffic management system (TMS) using the Internet of Things (IoT) and data analytics. Ultrasonic sensors are used to measure the traffic density. After analysing the sensor data, system controller sets traffic signal time by traffic management algorithm and also sends data to a cloud server through a Wi-Fi module. The proposed system can predict probable traffic congestion in the intersection point. If an emergency vehicle is detected, it gives priority, i.e. high signal duration to pass the intersection. In case of the signal violation, the system can identify the vehicle and charge a fine that is paid through Traffic Wallet mobile app. This proposed system is cost-effective, very simple to install and easy to maintain.
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基于物联网(IoT)的智能交通管理系统:以孟加拉国为例
随着人口的快速增长,交通拥堵的监测和控制已成为一个巨大的挑战。越来越多的车辆造成了很多问题,比如时间浪费、燃料浪费、空气和声音污染,甚至因被困在紧急车辆上而死亡。本文提出了一种基于物联网和数据分析的实时交通管理系统(TMS)。超声波传感器用于测量交通密度。系统控制器在分析传感器数据后,通过交通管理算法设置交通信号时间,并通过Wi-Fi模块将数据发送到云服务器。该系统可以预测交叉口可能出现的交通拥堵情况。如果检测到紧急车辆,它会优先通过交叉口,即高信号持续时间。在违反信号的情况下,系统可以识别车辆并收取罚款,并通过交通钱包移动应用程序支付。该系统具有成本效益,安装非常简单,易于维护。
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