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Research Paper | Information Technology | India | Volume 4 Issue 5, May 2015 | Popularity: 6.4 / 10

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IoT: Smart Vehicle Management System for Effective Traffic Control and Collision Avoidance

Rohini Temkar, Vishal Asrani, Pavitra Kannan

Abstract: This paper uses Internet of Things (IOT) as a medium to propose a solution to the problem of accident detection and collision avoidance using present day technologies and also upcoming technologies. It also aims to reduce the traffic at toll nakas by providing an online payment facility in order to reduce day-to-day traffic. Loss of life due to road accident is a major cause of concern for any country and most of the accident happens due to negligence of the driver or driver is under the influence of the alcohol. Automation of Vehicular Systems can help to minimize the road accidents to a great extent. Using technologies like Global Positioning System (GPS), Smartphones it is easier to avoid collisions with the leader vehicles and obstacles. A car fitted with a Wifi Technology and integrated with a smartphone can easily find a vacant parking lots and it can switch to autodrive mode whenever Required. An efficient fuel monitoring system can help to reduce the fuel theft and improve the performance of the vehicle. It will also be possible to detect the amount of alcohol a person is under when driving so that a car can automatically sense a danger if person has consumed more alcohol then the permissible limits and it will refuse to start unless someone who is not under the influence of the alcohol is at the driving wheel. This paper proposes an effective system for traffic control and avoidance of car collision bringing down accident rates by a considerable amount.

Keywords: Internet of Things, RFID, Smartphones, LADAR

Edition: Volume 4 Issue 5, May 2015

Pages: 3241 - 3246

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