UGC Approved Journal no 63975(19)

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107082


Registration ID:
311833

Page Number

a633-a636

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Title

Intelligent Transportation System (ITS) And Management

Abstract

A Intelligence system can be characterized as it gives a traffic between one vehicle to another vehicle ,so one dread can think about that prior from which side the vehicles are stopping by the data that we have put and from this we can limit mishaps build up that we find in most extreme break is utilized in this Intelligent vehicle framework which is a generally excellent and alone strategy to tackle the issues of uproot traffic of city .We realize that in our city we are liner a few issues while utilizing vehicles .Intelligence framework can get information from vehicle and enter the information to the right worker by the assistance of s to oversee street traffic . This is less expense, more productive, and limit transport framework. It builds up the item rate , and shield the mankind from mishaps. Significance of this framework is : It is productive to such an extent that it has the ability to send the information to the vehicle radar all alone. With the goal that we can lessen mishap Existing Traffic Management framework works acceptably with moderate thickness of traffic yet gets disorderly as the vehicle swarm increments. The framework would be given picture contributions of various traffic scenes. In view of the boundaries predefined, it will isolate the scenes consequently gives traffic as low, moderate or hefty traffic considering traffic thickness as the major parameter. The information understanding stage comprises of different street traffic-scenes with High, Moderate and Low Traffic thickness which will in this manner empower us to make a preparation dataset. This dataset would help us train our TDIM (Traffic Density Identification Module) further and subsequently make it equipped for distinguishing and isolating the Traffic scene appropriately. Road Traffic management makes use of static signals for driving the flow of traffic across the country. Traffic signal consist of three values differentiated based on colours, RED for Stop, YELLOW for Get Ready and GREEN for Go. All these are varied based on a control system which consists of a timer cycle to alter the same. The timer cycle’s value depends on the number of lanes. It carries out a timer rotation cycle of generalized value i.e. 120s timer where for 26s the proposed system has a GREEN signal and for the rest 116s RED signal which works in a well arranged simultaneous mathematical module. The remaining 8s skip is for the YELLOW signal time which acts as a sublayer between the two systems to provide smooth functionality

Key Words

Traffic,framework,Management

Cite This Article

"Intelligent Transportation System (ITS) And Management ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a633-a636, July-2021, Available :http://www.jetir.org/papers/JETIR2107082.pdf

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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

"Intelligent Transportation System (ITS) And Management ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa633-a636, July-2021, Available at : http://www.jetir.org/papers/JETIR2107082.pdf

Publication Details

Published Paper ID: JETIR2107082
Registration ID: 311833
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: a633-a636
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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