在支持物联网的设备网络中使用大数据的自主交通管理

Robin Singh, Sonia Saini, R. Bathla
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引用次数: 0

摘要

本文主要研究当前世界性的交通过剩和交通堵塞问题,这些问题阻碍了道路出行的顺畅和便捷。我们提出了一种支持物联网的智能交通灯管理系统,该系统实时收集来自智能手机和其他设备的数据,以便估计和使用这些信息来管理交通灯计时器,以实现更顺畅的交通流量。该装置结构紧凑,安装方便。该设备从远程服务器接收信息,但在网络故障的情况下完全能够离线工作,功能略有降低。这样的设备可以利用现有的技术和微不足道的费用来改变我们的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Traffic Management using Big Data in a Network of IoT Enabled Devices
This paper focusses on the current worldwide problem of excess traffic and traffic jams getting in the way of smooth and convenient road travel. We propose an IoT enabled smart traffic light management system which accumulates data from smartphones and other devices in real time in order to estimate and use this information to manage traffic light timers for a smoother flow of traffic. The device is compact and easy to install. The device receives information from a remote server but is fully capable of working offline in case of a network failure with slightly reduced functionality. Such a device can transform our roads with the use of existing technology and negligible expenses.
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