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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRBV06065


Registration ID:
203439

Page Number

299-301

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Title

IOT BASED INTELLIGENT ROAD TRAFFIC CONTROL SYSTEM

Abstract

In this project a new approach for controlling Traffic System is designed. The proposed system uses a concept of Internet Of Things. Density of the traffic is going to be set with the assistance of IR sensors. This can deals with an approach to beat this road traffic management system. Nearly 1.26 million deaths connected because of road traffic injuries has been calculable by the WH Organization. Lack of development within the transport system especially in technology aspect. Sometimes, one specific road could also be jam-pawncked where ever the system fails to present priority to the hard facet. Another major problem is, paving approach for emergency vehicles and lane clearance. Hence, an adaptive intelligent control system IOT (internet of thing) is proposed. The project overcomes various drawbacks within the current system and intensive knowledge collected from the sector conditions. Specific road standards have been referred for the planning and development of the system. Traffic signal management is one among the foremost problematic problems within the current scenario. Such situations, each signal are becoming sixty seconds of temporal order on the road at a daily interval, even once traffic there on specific road is dense. As per this projected model during this article, which can be optimized the temporal order interval of the light strictly depends on the quantity of vehicles there on specific margin. The foremost advantage of this technique is that it will ready to decrease a lot of waiting time for the drivers to cross road signal. In this model we have a tendency to square measure using the bunch algorithmic rules model that is predicated on KNN algorithm. Using this algorithmic rule new model are going to be at risk of confirm expected needed temporal order as per provided inputs to the signal that is vehicles count.

Key Words

: IOT, ESP8266 Wi-Fi Module, STM32F103RB Controller Board, IR Sensors, LCD.

Cite This Article

"IOT BASED INTELLIGENT ROAD TRAFFIC CONTROL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.299-301, May-2019, Available :http://www.jetir.org/papers/JETIRBV06065.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

"IOT BASED INTELLIGENT ROAD TRAFFIC CONTROL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp299-301, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06065.pdf

Publication Details

Published Paper ID: JETIRBV06065
Registration ID: 203439
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 299-301
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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