Inspiration
Urban traffic congestion wastes time, fuel, and productivity. With the rise of smart cities, we envisioned an AI-powered traffic signal system that adapts in real-time to reduce waiting times and improve traffic flow efficiency.
What it does
VelociCity-Optiroute is an intelligent traffic signal optimization system that:
- Collects real-time traffic data from intersections
- Uses AI/ML algorithms to predict congestion and adjust signal timings dynamically
- Prioritizes emergency vehicles and reduces overall vehicle idle time
- Offers a dashboard for traffic authorities to monitor and manage intersections
How we built it
- Backend: Python + Flask for logic and API endpoints
- ML Model: Trained on synthetic traffic data using decision trees to predict optimal signal timing
- Frontend: React dashboard to visualize traffic stats and signal states
- Data Simulation: Used NumPy to simulate traffic load per lane -Deployment: GitHub for version control, demo hosted locally
Challenges we ran into
- Creating realistic traffic patterns without access to live data
- Tuning the ML model for variable vehicle density
- Syncing multiple intersections with shared traffic flow
- Frontend-backend integration under time constraints
Accomplishments that we're proud of
-Built a fully working prototype within the hackathon window -Successfully demonstrated dynamic signal adjustments based on simulated data -Designed a clean, functional dashboard for traffic monitoring -Collaborated effectively and kept codebase clean and modular
What we learned
-Importance of feature engineering in time-series data -Real-time system design and latency handling -Working with simulated sensor data for smart city applications -Seamless teamwork using GitHub and Devpost practices
What's next for VelociCity-Optiroute
-Integrate real-time data from IoT sensors and traffic cams -Deploy in simulation environments like SUMO for urban testing -Expand to multi-intersection networks with adaptive coordination -Partner with local traffic departments for pilot deployment
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