UGC Approved Journal no 63975(19)

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

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2204233


Registration ID:
321865

Page Number

c243-c245

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Title

Automated Traffic Control System Using Artificial Intelligence : A Review

Abstract

Real time traffic controlling involves detecting of vehicle density on four lanes and calculating the time required for each lane to minimize the traffic congestion and also to assign the time for each red, green and yellow signals. The real time traffic controlling helps for smart mobility and efficient time utility in clearing traffic. If a junction of four roads with predetermined traffic signals can be considered it leads to wastage of time because the time assigned to each lane cannot be changed based on the density of vehicles, even though there were no vehicles in one particular lane but still the time allotted for that lane can be continued and vehicles might increase on other junctions. Determined traffic signals and old infrastructure of roads leads to traffic congestion and sufficient time utility in clearing the traffic becomes a challenge. The main contribution of our work is to compare the different methodologies that were proposed for real traffic controlling and to produce a new methodology to minimize the challenges that are facing in traffic clearance.

Key Words

congestion, Density, Realtime, Monitoring.

Cite This Article

"Automated Traffic Control System Using Artificial Intelligence : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c243-c245, April-2022, Available :http://www.jetir.org/papers/JETIR2204233.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

"Automated Traffic Control System Using Artificial Intelligence : A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc243-c245, April-2022, Available at : http://www.jetir.org/papers/JETIR2204233.pdf

Publication Details

Published Paper ID: JETIR2204233
Registration ID: 321865
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: c243-c245
Country: , , .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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