Design and Development of Fleet Tracking and Management for Improved Productivity using Sensor Nodes
Surya Prakash Shanmugasundaram1, M.Mathan kumar2, Tamilarasu Viswanathan3
1Surya Prakash Shanmugasundaram, Assistant Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
2M.Mathankumar, Assistant Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
3Tamilarasu Viswanathan Assistant Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (TamilNadu), India.
Manuscript received on 05 December 2018 | Revised Manuscript received on 12 December 2018 | Manuscript Published on 26 December 2018 | PP: 351-354 | Volume-8 Issue- 2S2 December 2018 | Retrieval Number: BS2078128218/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper describes about the work done in design and development of low cost fleet tracking and management for improved productivity and security features. The system is divided into three major parts such as fleet tracking, fleet management and security. The problem of identifying good driver who ride the vehicle with maximum fuel consumption and security is really a hard thing for the big management. This problem is solved by the devised model. Fleet tracking is based upon the inbuilt GPS which gives accurate position of the location of the vehicle, security is made by two components such as OTP based vehicle unlocking and prevention of unlocking when the driver seems to be drunken. All the On-board sensor datais collected and send through the remote server through Wi-Fi Protocol. The gained information is breaking down and handled and send back to the proprietor of the vehicle through SMS and online administrations. The created framework is verified by the functionality with developed prototype.
Keywords: Tracking, Vehicle Management, RFID Secured, IoT.
Scope of the Article: Communication