EM01 – An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing


The sudden activity lull particularly in quick looking over streets and roadways described by a rare perceivability is one of the real reasons for mischances among mechanized vehicles. It very well may be caused by different mishaps, work-in-advance on streets, over the top mechanized vehicles particularly at pinnacle times et cetera. Normally, settled activity sensors introduced on streets that connect with drivers’ versatile App through the 4G system can relieve such an issue, yet sadly not all streets and expressways are outfitted with such gadgets. In this paper, we talk about a conceivable elective answer for tending to such an issue considering portable movement sensors specifically introduced in private or potentially open transportation and volunteer vehicles.

In this situation a quick constant handling of enormous activity information is essential to avert mishaps. Specifically, we talk about an IoT Cloud framework for activity checking and ready notice in light of OpenGTS and MongoDB. Our IoT Cloud framework, other than for private drivers, it is exceptionally valuable for drivers of basic save vehicles, for example, ambulances. Analyses demonstrate that our framework gives adequate reaction times that enables drivers to get ready messages in helpful time to stay away from the danger of conceivable mishaps.


CPU type : Intel Pentium 4

Clock speed : 3.0 GHz

Ram size : 512 MB

Hard disk capacity : 40 GB

Monitor type : 15 Inch shading screen

Keyboard type : web console



Working System: Android Studio

Language : ANDROID SDK 7.0

Documentation : Ms-Office

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