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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Automation model for operation of traffic signals in peak hours
Authors Name: Amidipuram Krishna Vikas , Sathvik Balu Talagama , Shankar Charan Nimmagadda , Mrs. B. Priyanka
Unique Id: IJSDR2304076
Published In: Volume 8 Issue 4, April-2023
Abstract: The present traffic signaling system in use now is not worthy as it functions as per the timings and never bothers about the traffic density. In this regard the traffic over the overcrowded road may have to wait for long time. Therefore, this system is designed to clear the overcrowded road first. The concept is to maintain priority by sensing the traffic density in addition to the normal timings. Means in normal condition, the signaling system functions according to the fixed timings, if any side road is overcrowded than normal density, the system should allow to energize the green indicator to little more extra time by which over crowded road can be cleared. This feature is added in this system by which it can sense all 4 sides of the X roads and allows clearing the traffic with grace time when any road traffic is more than the normal. To prove the concept practically, 4 sides cross roads are created over a wooden plank for live demonstration. The present model uses Tone decoder circuit to send IR waves for detection of the vehicle movement.
Keywords: IC 89C51, LM567, Traffic Density
Cite Article: " Automation model for operation of traffic signals in peak hours", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.404 - 407, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304076.pdf
Downloads: 000337078
Publication Details: Published Paper ID: IJSDR2304076
Registration ID:204572
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 404 - 407
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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