UGC Approved Journal no 63975(19)

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

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIREF06017


Registration ID:
236067

Page Number

109-112

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Title

Study Traffic and Travel Time Prediction using Machine Learning

Abstract

This study has been undertaken to investigate the determinants of time taken to travel from one point to another using machine learning. Travel time prediction has important applicationswithin the field of intelligent transportation, such as vehicle Routing, congestion and traffic management. A challenging task in travel time prediction is obtaining data that is not readily available, as a clear majority of links in roads network are not equipped with traffic sensors.

Key Words

software defined networking, machine learning, deep learning, traffic classification, traffic prediction.

Cite This Article

"Study Traffic and Travel Time Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.109-112, August-2020, Available :http://www.jetir.org/papers/JETIREF06017.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

"Study Traffic and Travel Time Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp109-112, August-2020, Available at : http://www.jetir.org/papers/JETIREF06017.pdf

Publication Details

Published Paper ID: JETIREF06017
Registration ID: 236067
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 109-112
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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