Paper Title
YAKADA YAKA – Crowdsourcing Solution To Railway Accidents
Article Identifiers
Authors
Dabare.A.C.C , Vithanage.V.D , D.M.V.Stouter , T.H.E.S.L.Sarachchandra , Thusithanjana Thilakarthna, Devanshi Ganegoda
Keywords
Crowdsource, User-Interface, Gamification, Accelerometer, google map, machine learning, Naive bayes classifier, Extra tree classifier, Support vector machine algorithm
Abstract
There are many train accidents in Sri Lanka every year. As a result, human and animal lives, as well as property, get severely damaged. During last year, a total of 273 people lost their lives due to railway accidents. The main purpose of our research was to find a solution to the increasing number of train accidents. The main objective of our research is to acquire data from the passengers or the public through a mobile app, analyze this data and come up with a solution for these accidents and prevent situations such as elephant collisions, rockfalls, and landslides. We also hope to give train drivers who ride in those particular areas some insight about the railway track.
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How To Cite
"YAKADA YAKA – Crowdsourcing Solution To Railway Accidents", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 7, page no.11-17, July-2022, Available :https://ijnrd.org/papers/IJNRD2207002.pdf
Issue
Volume 7 Issue 7, July-2022
Pages : 11-17
Other Publication Details
Paper Reg. ID: IJNRD_181897
Published Paper Id: IJNRD2207002
Downloads: 000121175
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2207002.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2207002
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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