The Future of India Creeping up in Building a Smart City: Intelligent Traffic Analysis Platform

S. Balamurugan, J. F. Lilian, S. Sasikala
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引用次数: 5

Abstract

The integration of various embedded technological devices makes our environment to enable IoT. Internet of things plays a major role in bringing out the smartness into the culture. The smart transportation system is one such example that mainly focuses on to provide safety, efficient usage and reliable transportation this in turn is known in the form of smartness, and sustainable environment that is established for the public. To provide intelligent transportation System (ITS) there exist many problems in supply of the resources such as controlling of air pollution, reduce traffic congestion and the continuous growth of population. Therefore a deep analysis is required to control the trajectory data. These data have to analyzed and predicted using Big Data Analytics techniques. To solve the congestion in traffic a proper Data mining methodology is to be adapted that provides/paves way for the prioritized vehicles or it can make the congested payment to be free. These technologies will provide proper guidance to the public sector in enabling a healthier environment. The use of GPS sensor and analyzing the data is being done on the trajectory big data which will enable us to generate a Smarter Environment. This paper has discussed about the various technological implementations that have been carried out in prior to develop a smart intelligent transportation and it also has pointed out the different mechanism in executing this system effectively.
印度在智慧城市建设中的未来:智能交通分析平台
各种嵌入式技术设备的集成使我们的环境能够实现物联网。物联网在将智慧带入文化方面发挥着重要作用。智能交通系统就是这样一个例子,它主要侧重于提供安全、高效的使用和可靠的交通,这反过来又以智能和可持续环境的形式为公众所知。要实现智能交通系统,需要解决大气污染控制、交通拥堵、人口持续增长等资源供给问题。因此,需要对弹道数据进行深入的分析控制。这些数据必须使用大数据分析技术进行分析和预测。为了解决交通拥堵问题,需要采用一种合适的数据挖掘方法,为优先行驶的车辆提供或铺平道路,或者使拥堵支付免费。这些技术将为公共部门提供适当的指导,使环境更加健康。GPS传感器的使用和对轨迹数据的分析正在进行,这将使我们能够创造一个更智能的环境。本文讨论了智能交通系统开发之前的各种技术实现,并指出了有效执行该系统的不同机制。
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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