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Device to device interaction analysis in IoT based Smart Traffic Management System: An experimental approach

机译:基于物联网的智能交通管理系统中的设备到设备交互分析:一种实验方法

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摘要

Device to Device Communication pattern is analyzed for IoT based Smart Traffic Management System in the paper. In this type of communication pattern there is no any human intervention in a system because of direct communication between the devices, hence it is completely automated. D2D Communication Patterns are in great demand in IoT sector where a Thing (Device) is controlled by Internet from any remote place by using another Device. Here in an experiment of Smart Traffic Management System the method to determine Traffic Density on a particular lane is discussed. Ultrasonic Sensors are employed as the data acquisition unit to collect the information regarding Traffic Density and Raspberry Pi is used as Control Unit for processing the data. The information regarding traffic density sensed is processed and transmitted to the users provided with Android Application, where the user get a notification about the traffic density in that particular lane and hence assist to take an alternate path.
机译:本文分析了基于物联网的智能交通管理系统的设备到设备通信模式。在这种类型的通信模式中,由于设备之间的直接通信,因此系统中没有任何人为干预,因此它是完全自动化的。物联网领域对D2D通信模式的需求很大,在物联网领域中,物联网(设备)是通过任何其他地方使用任何其他设备从任何远程位置由Internet控制的。这里,在智能交通管理系统的实验中,讨论了确定特定车道上交通密度的方法。超声波传感器用作数据采集单元以收集有关交通密度的信息,而Raspberry Pi用作控制单元以处理数据。有关感测到的交通密度的信息将被处理并传输给Android应用程序提供的用户,在该应用程序中,用户会收到有关该特定车道中交通密度的通知,因此有助于采取替代路径。

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