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@article{169725,
        author = {M.S. Madhu Bala and M. Neha and S. Navitha and S. Salman and Bobby K Simon},
        title = {Average Fuel Consumption In Heavy Vehicles},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3314-3318},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169725},
        abstract = {Efficient fuel consumption management is of utmost importance in the heavy vehicle sector as a considerable portion of the operational costs includes fuel expenditures. It applies to machine learning, particularly Artificial Neural Networks (ANN) tools, to foresee the fuel usage based on several vehicle characteristics and operational statistics in order to assist fleet operators in optimizing routes, enhancing vehicle performance. The historical data used contains patterns of fuel consumption based on vehicle load, engine capacity or type and the amount of fuel consumed over time. The findings illustrate how ANN models are capable of providing accurate results for fleet managers who wish to design several inexpensive strategies for implementing coalitions and enhancing their sustainability, therefore, the need to utilize machine learning optimally in transportation resources.},
        keywords = {Artificial Neural Network (ANN), Fuel Consumption, Machine Learning},
        month = {November},
        }