Abstract
Bangladesh faces significant traffic rule violation problems due to chaotic and overcrowded roads, where drivers often ignore traffic signals, switch lanes without warning, and overload vehicles. Pedestrian safety is also a concern, with jaywalking being common. Illegal parking, speeding, and reckless driving contribute to frequent accidents, and there's a lack of awareness and consistent enforcement of traffic rules. In this challenging scenario, YOLOv5 stands out as a practical solution. It's like having a sharp traffic officer who can quickly spot rule violations like running red lights or illegal parking. YOLOv5's abilities help enforce traffic rules more effectively, making the roads safer for everyone in Bangladesh, where road safety is a pressing concern.
Cite
CITATION STYLE
Sezan, S. B. K., Rahman, T., Tanvir, K., Tasnim, N., & Ataur, A.-J. I. (2023). Detecting Traffic Rule Violations and Promoting Road Safety through Artificial Intelligence. Journal of Artificial Intelligence, Machine Learning and Neural Network, (36), 29–41. https://doi.org/10.55529/jaimlnn.36.29.41
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