Vehicular Cloud Data Collection for Intelligent Transportation Systems

S. Thiru, Hina Hashmi, S. Hemavathi, Daxa Vekariya, Arvind Kumar Pandey, Wael M. F. Abdel-Rehim
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Abstract

Millions many sensors will be connected to the Internet via the Networks of Things (IoT), enabling new mobile cloud technologies and products. With the introduction of IoT, future Internet of Vehicle (IoV) will replace the present Auto Informal Services (Van - to - Driver), where customers may place orders for various services by integrating their cars, sensors, and tablets to a huge network. Vehicular Cloud Computing (VCC) is merely being imagined with the goal of supplying traffic services that enhance our daily traveling in order to provide Routes with broadband service. These plans include resources and support the expansion of the Internet of Things (IoT), which is a crucial component of IoV. The utilization of Vehicular Cloud (VC), however, is necessary for ITS (Intelligent Transportation System) to properly support a top travel service (VC). In order to acquire data for the benefit of ITS, we integrate the novel VCC technique in this study. We show via modeling results that a flexible VC may provide useful data collection with just a small percentage of autos involved.
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面向智能交通系统的车载云数据采集
数以百万计的传感器将通过物联网(IoT)连接到互联网,从而实现新的移动云技术和产品。随着物联网的引入,未来的车联网(IoV)将取代目前的汽车非正式服务(Van - to - Driver),客户可以通过将他们的汽车、传感器和平板电脑集成到一个巨大的网络中来订购各种服务。车载云计算(VCC)的目标仅仅是提供交通服务,增强我们的日常出行,以便为路线提供宽带服务。这些计划包括资源和支持物联网(IoT)的扩展,物联网是车联网的关键组成部分。然而,车辆云(vehicle Cloud, VC)的利用是智能交通系统(ITS)正确支持顶级出行服务(VC)的必要条件。为了更好地获取数据,我们将新的VCC技术整合到本研究中。我们通过建模结果表明,灵活的风险投资可能只涉及一小部分汽车,就能提供有用的数据收集。
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