Publication

Abstract : In today’s transportation and logistics industry, fleet management has become a critical success factor for businesses across industries. A Fleet Management System (FMS) stands as a comprehensive solution designed to simplify the complex processes of vehicle or asset management. This paper explains the critical role of FMS in optimizing fleet operations, improving productivity, and ensuring compliance. By providing an integral set of tools and functions, FMS empowers fleet managers to provide real-time visibility, operational insight, and control of their fleet, ultimately resulting in cost savings, improved security, and controls. This paper discusses the storage of sensor data and prediction of battery parameters using Hybrid machine learning technique LSTM-MLP which is a combination of both LSTM and MLP ML techniques to resolve the shortcomings of the individual ML methods leading to desired results.