UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1808548


Registration ID:
187125

Page Number

475-481

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Title

Traffic Network Operation for Junction and Intelligent Surveillance System using IOT

Abstract

The project aims at designing a system which can avoid the overcrowding issues. Traffic congestion is a major problem in cities of developing countries like India. Infrastructure growth is slow as compared to growth in no. of vehicles. Due to this, emergency service vehicles may not achieve the target of being in time. This leads to the loss of human lives. Many systems have progressed using embedded system. The system mainly involves in three activities, which are Congestion control, Ambulance clearance, and Detection of stolen vehicle. The project makes use of an onboard computer, which is commonly termed as Raspberry Pi processor. It acts as a heart of the project. This onboard computer can efficiently communicate with the output and input modules which are being used. The Raspberry Pi is a credit-card-size single board computer developed in the UK by the Raspberry Pi Foundation. It uses microSD card slot for loading operating system and data storage. We use RFID Reader, system-on-chip to read the RFID tags attached to vehicle and Raspberry-pi. It counts the number of vehicles that passes on a specific path during a specified duration. It also regulates the network congestion, and hence the green light duration for that path. In this project, Density of the traffic will be decided with the help of IR sensors. And in order to give Green path (Zero Traffic) for emergency vehicles RFID technology is used. Along with this RFID and GSM is used to detect the stolen vehicles. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’. In this project control of system consists of 2 modes i.e., ‘automatic’ without any human introversion and ‘manual’ with the human introversion.

Key Words

Raspberry-pi, Image processing, Vehicle counting, Open CV, IR sensor, IoT, Traffic Management

Cite This Article

"Traffic Network Operation for Junction and Intelligent Surveillance System using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.475-481, August-2018, Available :http://www.jetir.org/papers/JETIR1808548.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 Network Operation for Junction and Intelligent Surveillance System using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp475-481, August-2018, Available at : http://www.jetir.org/papers/JETIR1808548.pdf

Publication Details

Published Paper ID: JETIR1808548
Registration ID: 187125
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 475-481
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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