Smart Traffic Signal Automation with Priority Control for Emergency and Stolen Vehicles via Arduino

Smart Traffic Signal Automation with Priority Control for Emergency and Stolen Vehicles via Arduino

Geo Mathew1, Basila P K2, Basil Varghese3, Jaijith A4 , Dr Krishna Kumar P R5

1,2,3,4-Students Dept of CSE,SEA College of Engineering & Technology,Bangalore-560049

5-Faculty, Dept of CSE,SEA College of Engineering & Technology,Bangalore-560049

Abstract

Efficient traffic management is crucial for reducing congestion, ensuring public safety, and enhancing urban mobility. This study presents a smart traffic signal automation system that prioritizes emergency vehicles and detects stolen vehicles using Arduino-based technology. The proposed system leverages Radio Frequency Identification (RFID), sensors, and wireless communication modules integrated with Arduino microcontrollers to dynamically control traffic lights based on real-time vehicle identification and priority status.Emergency vehicles such as ambulances and fire trucks are automatically detected and granted signal priority to ensure uninterrupted passage through intersections, minimizing response time during critical situations. Simultaneously, the system can identify stolen vehicles using a centralized database, triggering alerts and altering traffic signals to assist in interception or rerouting.The implementation demonstrates the system’s capability to automate traffic signals intelligently, reduce delays for emergency services, and enhance urban security. This solution is scalable, cost-effective, and suitable for smart city infrastructure, contributing to more responsive and secure traffic ecosystems

Keywords :Smart traffic management system, Emergency vehicle prioritization, Stolen vehicle detection, Arduino technology, Traffic signal control, Real-time data processing, Traffic flow optimization, Urban traffic challenges, Law enforcement capabilities, Road safety, Surveillance and protection, Intelligent transportation systems, Scalable solutions, Urban environments.