A DEEP LEARNING MODEL FOR AVERAGE FUEL CONSUMPTION IN HEAVY VEHICLES

Abstract

A deep learning model for heavy vehicle fuel consumption prediction
is presented in this study. The model takes a look at how things like vehicle type, load,
route parameters, and driving behaviour affect fuel economy by using sophisticated
algorithms and massive datasets. Our main goal is to provide operators and fleet
management precise projections that will help them make better operational choices,
optimise routes, and save fuel costs. The significance of data-driven strategies in
improving transportation sustainability and efficiency is further emphasised in this
research.