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  Published Paper Details:

  Paper Title

TRAFFIC LIGHT SIGNALING USING DETECTION ALGORITHM

  Authors

  M Prasanna Reddy,  Mr. Shaik shahid,  Mr. B Satyanarayana

  Keywords

CNN, RNN, Image-processing, YOLO

  Abstract


Traffic signals are essential to guarantee safe driving at road corners. still, they disturb and reduce the business ignorance due to the line detention at each business flux. In this work, we introduce an Intelligent Traffic Light Controlling( ITLC) algorithm. This algorithm considers the real- time business characteristics of each business flux that intends to cross the road crossroad of interest, whilst listing the time phases of each business light. The introduced algorithm aims at adding the business ignorance by abating the waiting time of traveling vehicles at the signalized road corners. also, it aims to increase the number of vehicles crossing the road crossroad per second. In this we used to find the vehicles in north, south, east and west through the deep learning and detection of ambulance using deep learning with the training of deep learning. If the ambulance is detected we should assign the green signal and if the traffic is higher based on the count of vehicles, we should provide green signal for that. For that we used output shell to print output

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6010

  Paper ID - 221003

  Page Number(s) - a73-a80

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  M Prasanna Reddy,  Mr. Shaik shahid,  Mr. B Satyanarayana,   "TRAFFIC LIGHT SIGNALING USING DETECTION ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.a73-a80, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6010.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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