 |
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: February 2026
Volume 11 | Issue 2
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| 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 |
| Author Reg. ID: |
IJRTI_186738
|
| 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: | 000205358 |
| 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 |
| Publication Details: |
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 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||