An intelligent framework for vehicle traffic monitoring system using IoT

Varsha Sahadev Nagmode, S. M. Rajbhoj
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引用次数: 10

Abstract

Traffic congestion monitoring and controlling it is biggest challenge on many cities in this day, which affects environmental life and disturbs our daily life routine. Due to increasing population, number of roads and vehicles are increases, which create many problems such as travel time delay, fuel wastage, air pollution and transport related issues. So traffic monitoring and controlling is biggest challenge on traffic management authorities. Here design and develop system for real-time traffic monitoring using Internet of Things (IoT) platform and sensing Technology. To detect traffic levels at lanes used Ultrasonic sensors, its real-time application. Controller receives this data from sensors and processes. After that processed and detected data transfer to server through Wi-Fi module Traffic is controlling by traffic signal control method which depends on the detecting traffic levels at lanes. If any lane gives high traffic level then it gives highest priority means high signal time to pass vehicles. This system is reliable, straightforward and lowly cost.
一种基于物联网的车辆交通监控系统智能框架
交通拥堵的监测和控制是当今许多城市面临的最大挑战,它影响着环境生活,扰乱着我们的日常生活。由于人口的增加,道路和车辆的数量也在增加,这就产生了许多问题,如旅行时间延误、燃料浪费、空气污染和交通相关问题。因此,交通监控是交通管理部门面临的最大挑战。本文设计并开发了基于物联网平台和传感技术的实时交通监控系统。利用超声波传感器检测车道上的交通水平,实现其实时应用。控制器从传感器和处理程序接收这些数据。经过处理和检测的数据通过Wi-Fi模块传输到服务器,通过交通信号控制方法控制流量,该方法依赖于车道检测的车流量水平。如果任何一条车道给了高交通水平,那么它给了最高的优先级意味着通过车辆的高信号时间。该系统可靠、简单、成本低。
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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