Fleet Automation using IoT Logistics
R.Mahalakshmi Priya1, M.Vasumathi2, K.Sathish Kumar3, M.Arun, S.Pandikumar4
1R.Mahalakshmi Priya, M.Sc., M.Phil., Senior Programmer, GGIITINFO, Madurai, India.
2M.Vasumathi, Assistant Professor in Sri Krishna Adithya College of Arts and Science, Coimbatore, India.
3K.Sathish Kumar, M.Arun, Assistant Professor in Sri Krishna Adithya College of Arts and Science, Coimbatore, India
4S.Pandikumar, Assistant Professor in Department of Computer Science, The American College, Madurai, India
Manuscript received on July 30, 2019. | Revised Manuscript received on August 25, 2019. | Manuscript published on August 30, 2019. | PP: 4231-4238 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8911088619/2019©BEIESP | DOI: 10.35940/ijeat.F8911.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Resource Management play a vital role in daily life of fleet management. Particular some of the resources like fuel, driver behavior, theft maintenance, etc. are must be managed to avoid financial defeat. Fleet (Trucks or heavy Vehicle) Resource Management Systems can expose the average mileage and speed for a particular based on fuel. The IoT logistics that equipped GPS to track the fuel usage, driver’s behavior, sroutes, speed, temperature, etc for the fleet management. Location shared via GPS to the user interface can help truckers to find around the current areas. This work focuses on the key objective of the transportation management with minimum human resource so the management of the fleet with the development of IoT is employed in this work for the automatic fleet resource management, find driver behavior, health status of the vehicle.
Keywords: Fleet Automation, Fleet Health Statistics, IoT, Load Management, Live Tracking, Truck Monitoring.