The problem Emergency Vehicle Priority Smart Traffic System solves

“This project is a smart traffic management system designed to optimize traffic light cycles based on real-time data, with special prioritization for emergency vehicles. Using adaptive green-light timing, it reduces congestion and allows emergency vehicles to navigate efficiently. With urban areas facing high traffic congestion, emergency vehicles often encounter delays at intersections. This project tackles this problem by automatically adjusting traffic lights to prioritize emergency vehicles and manage vehicle density more effectively.”

Challenges I ran into

Database Synchronization Issues
Initially, I faced challenges keeping the SQLite database in sync with real-time updates from the traffic detection and control logic.
Solution: I implemented a more frequent update interval and optimized the database queries to avoid lag.

Emergency Vehicle Detection Prioritization
Handling emergency vehicle priority was complex, especially in maintaining a seamless switch between regular traffic flow and emergency overrides.
Solution: I refined the priority logic to ensure the active road remained green until the emergency vehicle cleared, using a simple flag reset.

Vehicle Counting Precision with YOLOv11
Detecting and counting vehicles accurately in different lighting or weather conditions required fine-tuning the YOLOv11 model.
Solution: I used data augmentation techniques to make the model more robust and tested it on varied conditions.

Loop Timing and Camera Sync
Ensuring the main loop’s timing aligned with the 10-second camera scan interval was tricky.
Solution: I set specific timestamps for camera and road updates, allowing for a smooth synchronization of updates.