International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Junction: IoT and Image Processing Based Traffic Monitoring and Managing System

Kumara H.W.T.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaJayalath K.T.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaPandithage D.S.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaZamha A.A.R.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaSandeepa G.A.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaWijesiri P.Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 99-105

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 08-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711014

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Abstract

The number of vehicles on the road at a time is increasing rapidly these days. This generates a heavy traffic queue on the roads hence a proper traffic management system is needed to manage those traffic queues and most of the current traffic queues are handled by manual traffic management systems. That will require more human interaction and can lead to an increase in the stress level of the controllers, low efficiency in responding to emergency situations and will lead to more human errors. Considering the current traffic management scenarios, this research helps to enhance the road safety by developing a smart junction that has the embedded systems of junction coordination and synchronization by controlling traffic lights, emergency vehicle detection and prioritization, rule violation incidents and vehicle accidents identification and a safe pedestrian crossing system controlled based on dynamic factors. This study uses a Convolutional Neural Network (CNN) Network Architecture with Internet of Things (IOT) devices to automate the system. The significance of this research is that this will help to enhance overall road safety.

Keywords

Convolutional Neural Network, Internet of Things, synchronization, ambulance detection, rule violation, accidents identification, pedestrian crossing


Citation of this Article

Kumara H.W.T., Jayalath K.T., Pandithage D.S., Zamha A.A.R., Sandeepa G.A., Wijesiri P., “Smart Junction: IoT and Image Processing Based Traffic Monitoring and Managing System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 99-105, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711014

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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