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AI-Based Yolo V4 Intelligent Traffic Light Control System Cover

AI-Based Yolo V4 Intelligent Traffic Light Control System

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 16 (2022): Issue 4 (December 2022)
By: Boppuru Rudra Prathap,  Kukatlapalli Pradeep Kumar,  Cherukuri Ravindranath Chowdary and  Javid Hussain  
Open Access
|Oct 2023

Authors

Boppuru Rudra Prathap

boppuru.prathap@christuniversity.in

Department of Computer Science and Engineering, CHRIST University, Bangalore, India

Kukatlapalli Pradeep Kumar

Department of Computer Science and Engineering, CHRIST University, Bangalore, India

Cherukuri Ravindranath Chowdary

Department of Computer Science and Engineering, CHRIST University, Bangalore, India

Javid Hussain

Department of Computer Science and Engineering, CHRIST University, Bangalore, India
DOI: https://doi.org/10.14313/jamris/4-2022/33 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 53 - 61
Submitted on: Apr 26, 2022
Accepted on: Jul 28, 2022
Published on: Oct 20, 2023
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Traffic jams,
traffic light system,
traffic management,
intelligent monitoring,
signal switching algorithm,
artificial intelligence
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2023 Boppuru Rudra Prathap, Kukatlapalli Pradeep Kumar, Cherukuri Ravindranath Chowdary, Javid Hussain, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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