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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
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Total Authors : 22301
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| Paper Title: | TRIP-BASED FUEL CONSUMPTION PREDICTION USING MACHINE LEARNING |
| Authors Name: | Mugundaan K , Harish Kumar R , Karthikeyan S , Kanagasundaram S , Karthikeyan T |
| Download E-Certificate: | Download |
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IJRTI_186738
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| Published Paper Id: | IJRTI2305164 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | The transportation industry is one of the largest and most important industries in the modern economy. Organizations in this industry operate more than a thousand fleet vehicles on average. Thus it becomes harder for organizations to manage the expenditures of the vehicles. The goal of this project is to provide a platform for users like individuals and organizations, which allows them to predict the fuel consumption of vehicles using Machine Learning. The project consists of two prediction sections, one for single-sample prediction and the other for multi-sample prediction. This allows organizations to manage expenditures and prevent fraudulent activities easily. This project is also designed to be highly extensible, which allows developers to use these features in their applications. A sample Excel sheet is provided, on which the user can enter multiple vehicle details and upload them to find the fuel consumption of all the vehicles in the Excel sheet. Users can also view their prediction history. The project also allows users to download detailed reports of the vehicles, which enables more detailed insight into the performance of the vehicles. Therefore it becomes easy to manage the fuel expenses for any organization or individual thus making it a better platform to use. |
| Keywords: | Trip-Based Fuel Consumption Prediction, Fuel Consumption Prediction, Machine Learning, Regression, Multi Linear Regression |
| Cite Article: | "TRIP-BASED FUEL CONSUMPTION PREDICTION USING MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1045 - 1051, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305164.pdf |
| Downloads: | 000205359 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2305164
Registration ID:186738
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1045 - 1051 Country: SALEM, TAMIL NADU, INDIA Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305164 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305164 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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