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Document details - IoT BASED VEHICLE MONITORING AND FLEET MANAGEMENT SYSTEM

Journal Volume 8, Issue 4, July - August 2019, Article 9302111 Geetha S, Vijay Amirtha Raj , " IoT BASED VEHICLE MONITORING AND FLEET MANAGEMENT SYSTEM" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 8, Issue 4, July - August 2019 , pp. 010-014 , ISSN 2278 - 6856.

IoT BASED VEHICLE MONITORING AND FLEET MANAGEMENT SYSTEM

    Geetha S, Vijay Amirtha Raj

Abstract

Abstract: In this 21st century vehicles are increasing day by day. Mainly for goods transportation fleet management is very important for vehicle owners. Fleet operators must try hard to achieve the lowest feasible TCO (Total Cost of Ownership) for their fleets with increasingly severe environmental and safety regulations. In this regard fuel consumption, driver performance, route management and vehicle maintenance plays vital parameters for the fleet operators. Fortunately, Internet of Things (IoT) interferes in connecting applications to produce the data and services which make fleet operations safer and more cost-effective. Fleet Management System takes the profit of wireless connectivity to collect data and extract insights that allow fleet operators to spend less money for fuel, optimize routes, improve driver performance, and schedule vehicle maintenance. This fleet management system which assimilate the power of concurrent GSM (Global System for Mobile communications), GPS (Global Positioning System) and web-based user interfacing software are proposed. Once vehicle location and direction is determined by the GPS components, vehicle tracking capabilities will transmit this information to fleet management application software.GPS vehicle tracking technology and interactive map visualizations will enable organization to see where it was losing money, time and wasting fuel. The control management from remote place using IoT platform can provide precautionary measures for driver in maintaining the vehicle. Keywords: Fleet Management, IoT, GPS, GSM, Vehicle Tracking

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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