International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 3
May-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-Based Contrail Avoidance for Reducing Aviation Climate Impact

Author(s) Mr. Sam Suseelan
Country India
Abstract The carbon dioxide (CO 2) emissions are not the only effects of aviation on climate change, where condensation trails (contrails) are also considered one of the most notable contributors to global warming. This work discusses the problem of contrail formation detection and reduction in the form of the possible implementation of Artificial Intelligence (AI) in the aviation processes. The simulation-based methodology was used whereby there was a combination of atmospheric data and flight parameters in developing supervised machine learning models that can predict the presence of contrails. The results suggest that the proposed model is able to capture patterns associated with contrail formation with a reasonable level of accuracy. Simulated route changes informed by the model suggest that there is the potential to reduce the contrail occurrence, though there are slight increases in fuel consumption and flight distance. The study is valuable in that it illustrates how AI-based prediction and routing plans can be used as a complementary measure to mitigate non-CO2 aviation effects. Nevertheless, due to the fact that the results are obtained based on modeled data, one will have to perform additional validation by using real-world operational datasets to confirm the practical applicability. Altogether, this paper leads to the prospective studies of incorporating intelligent systems into the sustainable aviation operations.
Keywords Keyword: Artificial Intelligence, Contrail Formation, Aviation Climate Impact, Machine Learning, Flight Path, Optimization
Field Engineering
Published In Volume 5, Issue 1, January-February 2023
Published On 2023-01-06
DOI https://doi.org/10.36948/ijfmr.2023.v05i01.78367
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals