Traffic Clearance System for Emerygency Vehicals
The Smart Traffic Management System with Ambulance Detection is an IoT and computer vision-based solution that prioritizes emergency vehicles. It automatically detects ambulances using OpenCV to process images of red-cross patterns. The system uses a Raspberry Pi 4B to control LED traffic lights, a servo-controlled camera, and emergency indicators. A Flask web dashboard allows for real-time monitoring and control. Key functions include automating three-way traffic lights, rotating the camera in real time, activating a 30-second green light priority mode, providing analytics, and featuring a test mode. The system achieved a 95% detection accuracy in different lighting conditions and reduced response time to under 3 seconds. This improvement supports emergency response while keeping overall traffic efficiency high.
Authors
- Ankita Bhosale
- P. U. Patil
- Bhagyashri Gadekar
- Ankita Gunjal
Institutions
- Indian Numismatic, Historical and Cultural Research Foundation (IN)
Publication Details
- Journal
- International Journal of Advanced Research in Science Communication and Technology
- Published
- 2025-11-09
- DOI
- https://doi.org/10.48175/ijarsct-29715
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00