SMART INDIA HACKATHON 2025 • ProblemStatementID - SIH25050 • Problem Statement Title- • Theme - SmartAutomation • PSCategory - Software • TeamID - 39306 • TeamName- TechYodhas Smart Traffic Management System F or Urban Congestion Title : Smart Traffic Management System for Urban Congestion. Solution Overview: AI & IoT-based real-time traffic monitoring. Dynamic signal adjustments based on traffic density. Priority lanes for emergency vehicles. Integrated mobile app for public updates. AI + IoT Integration for adaptive traffic control. Emergency Vehicle Priority using RFID / GPS. Real-time Dashboard for authorities. Mobile App Alerts for drivers (shortest route, congestion updates). Scalable Cloud System for multiple cities. Data Collection: Sensors, CCTV, GPS, Google Maps API AI Processing: Machine Learning models predict congestion. Decision Support: Dynamic traffic light control. User Interface: App/dashboard for drivers & authorities. 2 TechYodhas How It Works: Unique Innovations: TECHNICAL APPROACH 3 3 TechYodhas FLOWCHART Technology stack: 1. Database : MongoDB / PostgreSQL 5. IoT Devices: RFID, IR sensors, ultrasonic detectors. 2 .Backend: Django / Node.js 3. AI/ML: TensorFlow, OpenCV, Scikit -learn. 4. Visualization & Frontend: HTML , CSS , JavaScript D3.js, Plotly –Datavisualization libraries 6.Cloud& Deployment:AWS,Google Cloud 7. Drone Technology: Real-time video capture and AI processing. 8.Security: Blockchain for secure traffic data handling. FEASIBILITY AND VIABILITY TechYodhas Feasibility: Potential Challenges and Risks: Strategies to Overcome Challenges: Uses existing CCTV & IoT devices. Cloud-based and scalable for any city. Modular design allows future upgrades. Real-time integration with existing APIs. High initial setup cost. Government Collaboration – Partner with traffic police, municipal bodies, and transport departments for smooth integration. P u b l i c A w a r e n e s s C a m p a i g n s – Conduct workshops, awareness drives, and mobile app guides to ensure citizen cooperation Cybersecurity Measures – Use encryption, blockchain, and access control to protect sensitive traffic data. 4 Public cooperation is required. Maintenance of devices and cameras Cybersecurity risks. Data quality and accuracy must be ensured. IMPACT AND BENEFITS TechYodhas Benefits of the Solution : Reduced congestion → faster travel times. Saves fuel → lowers transportation costs. Reduces air and noise pollution. Ensures quick access for ambulances and fire trucks. Boosts public transport efficiency. Improves road safety and reduces accidents. Enhances citizen experience and convenience. Supports Smart City initiatives. Long-term economic growth and better quality of life. Potential Impact on the Target Audience: 5 Enhanced Traffic Flow AI-driven adaptive signals reduce waiting time and keep traffic moving smoothly Improved Emergency Response Ambulances, fire trucks, and police vehicles get priority access, saving lives. Reduced Fuel Consumption Less idling at signals saves fuel, cutting costs for citizens. Pollution Control Lower vehicle emissions lead to better air quality and healthier cities. RESEARCH AND REFERENCES TechYodhas MDPI Sensors Journal – Smart Cities and Intelligent Traffic Monitoring URL: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/ IEEE Xplore – Artificial Intelligence-based Smart Traffic Management Systems : https://ieeexplore.ieee.org/document/9353834 SpringerLink – IoT and AI for Urban Traffic Control: State of the Art URL: https://link.springer.com/article/10.1007/s11269-024-03823-x ScienceDirect – Intelligent Traffic Light Control using Machine Learning URL: https://link.springer.com/article/10.1007/s13201-022-01843-9 URL: https://youtu.be/Tz-H2U7t_uo?si=iPKhCQ0qXF45SWuJ World Bank Report – Traffic Congestion in Urban India: Issues and Solutions 6 URL YouTube – Smart Traffic Control System using AI & IoT URL: https://youtu.be/Tz-H2U7t_uo?si=iPKhCQ0qXF45SWuJ