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

机译:印度建设智能城市的未来:智能交通分析平台

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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.
机译: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中扮演着重要角色。智能交通系统就是这样一个例子,主要致力于提供安全,有效使用和可靠的交通,而这又以为公众建立的智能和可持续环境的形式而闻名。为了提供智能交通系统(ITS),在资源供应方面存在许多问题,例如控制空气污染,减少交通拥堵和人口的持续增长。因此,需要深入分析来控制轨迹数据。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,应采用适当的数据挖掘方法,该方法可以为优先车辆提供/铺平道路,也可以使拥堵费用免费。这些技术将为公共部门创造更健康的环境提供适当的指导。 GPS传感器的使用和对数据的分析已在轨迹大数据上完成,这将使我们能够生成更智能的环境。本文讨论了在开发智能智能交通之前已进行的各种技术实现,并指出了有效执行该系统的不同机制。

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