A Review of IoT Application in a Smart Traffic Management System

Md Khurram Monir Rabby, Muhammad Mobaidul Islam, Salman Monowar Imon
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引用次数: 18

Abstract

This paper explores the advancement of smart traffic management system using the Internet of Things (IoT). It works as middleware on the foundation of the IoT and augments the idea of the smart city through the traffic light control, smart parking, smart emergent assistance, anti-theft security system, and others. IoT provides an effective way of interactions among the web devices with the traffic embedded sensors, services, actuators, and other interconnected networks. Hence, the application of IoT in the smart traffic management system is not only limited to the reduction of the traffic congestion, air quality improvement, and traffic flow optimization but also extended to the continuous monitoring and ensuring the security and safety for the elderly people. Acquiring multiple sources of traffic information for data analysis, IoT monitors the traffic flow, controls the traffic operation and stores the correct decision for the future information presentation. Having a combination of advanced machine learning approach and data-driven technique, there are implementation limitations of this technology. However, this survey provides a good insight into the application of IoT in the smart traffic management system based on the existing research perspective.
物联网在智能交通管理系统中的应用综述
本文探讨了基于物联网的智能交通管理系统的进展。它是物联网基础上的中间件,通过红绿灯控制、智能停车、智能紧急援助、防盗安全系统等增强智慧城市的理念。物联网为web设备与流量嵌入式传感器、服务、执行器和其他互联网络之间的交互提供了一种有效的方式。因此,物联网在智能交通管理系统中的应用不仅仅局限于减少交通拥堵,改善空气质量,优化交通流量,还可以扩展到对老年人的持续监控和安全保障。物联网获取多个来源的交通信息进行数据分析,监控交通流量,控制交通运行,并存储正确的决策,以供未来的信息呈现。该技术结合了先进的机器学习方法和数据驱动技术,存在实现上的局限性。然而,本调查在现有研究视角的基础上,很好地洞察了物联网在智能交通管理系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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