Intelligent Traffic Light System Using YOLO

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Intelligent Traffic Light System Using YOLO

Sai Venu Prathap, K. / Srinivasulu Reddy, D. / Madhusudhan, S. / Mohammed Mazharr, S.

Day-by-day traffic is increasing due to the technology limit in the traffic control. We made a critical survey and found the existing systems and their shortcomings. Currently time slot is fixed for each lane. Though the traffic is less in any lane the lights will glow up to a fixed time slot. As a result, vehicles in the other lanes having more traffic density have to wait for a long time. This problem can be solved by our proposed system that works depending up on the traffic density in each lane. A real-time traffic detection is extremely significant especially in the metropolitan cities. In this paper we are proposing a real-time traffic controlling system that is developed by using image processing, cloud, embedded board and You Only Look Once (YOLO) v4 algorithm. Our system computes the vehicle detection, vehicle count and classifies the vehicle. The vehicle count is utilized to calculate the traffic density. This YOLO v4 network maintains the precision, recall and F-score in the vehicle detection and traffic control. Our proposed system executes better performance than the existing systems.

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Document information

Title :

Intelligent Traffic Light System Using YOLO

Additional title:

Algorithms for Intelligent Systems

Contributors:

Mandal, Jyotsna Kumar (editor) / Hinchey, Mike (editor) / Rao, K. Sreenivas (editor) / Sai Venu Prathap, K. (author) / Srinivasulu Reddy, D. (author) / Madhusudhan, S. (author) / Mohammed Mazharr, S. (author)

Published in:

Innovations in Signal Processing and Embedded Systems ; Chapter : 9 ; 95-107

Algorithms for Intelligent Systems

Publication date :

2022-09-14

Size :

13 pages

ISBN :

978-981-19-1669-4 , 978-981-19-1668-7

ISSN :

2524-7573 , 2524-7565

DOI :