UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCU06086


Registration ID:
217979

Page Number

424-426

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Title

Traffic Management System using Big Data Analytic Tool

Abstract

Traffic congestion have become a serious issue nowadays especially in metro cities. Increase in population, rise in income which leads in more number of vehicles on the roads, insufficient space in the road to handle traffic etc are the different causes of traffic congestion. The analysis of huge data of transportation and accidents has many potentials and it can give very useful insights from the hidden relationship of data. This paper uses classification algorithms using data mining techniques to predict the possibilities of accident occurs which uses python packages and also a use of big data in traffic management system

Key Words

Big Data, Data mining Techniques, Python.

Cite This Article

"Traffic Management System using Big Data Analytic Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.424-426, May 2019, Available :http://www.jetir.org/papers/JETIRCU06086.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Traffic Management System using Big Data Analytic Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp424-426, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06086.pdf

Publication Details

Published Paper ID: JETIRCU06086
Registration ID: 217979
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 424-426
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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