Current Volume 8
Abstract
In this paper, an enhanced AI-driven system to ease urban traffic jams is discussed with the help of real- time object detection and tracking features. Utilizing latest algorithms like YOLOv8 and DeepSORT, the system aptly observes traffic flow and grants higher priority for emergency vehicle passage. The model adjusts traffic light timing dynamically in a suggested framework, immensely enhancing traffic efficiency, lessening delay, fuel consumption, and emissions. Elaborate tests prove the capability of improve urban mobility and enable sustainable development.
Keywords
Artificial Intelligence, Traffic Optimization, YOLOv8, Deep Learning, Emergency Response, Sustainable Transportation
Citations
IRE Journals:
Aditya Takawale , Shreyas Wakhare , Soham Walimbe , Madhuri Thorat
"AI Driven Traffic Management System" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 1650-1655
IEEE:
Aditya Takawale , Shreyas Wakhare , Soham Walimbe , Madhuri Thorat
"AI Driven Traffic Management System" Iconic Research And Engineering Journals, 8(9)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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