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Smart Traffic Management System using Arduino

Smart Traffic Management System (STMS) is an intelligent, microcontroller-based solution designed to optimize urban traffic flow, reduce congestion, and improve road safety. This project utilizes the Arduino platform to create an adaptive and cost-effective alternative to traditional fixed-timing traffic signals.

TrafficManagement

Key Features

  • Adaptive Signal Control: Lays the foundation for a system that can adjust timings based on real-time vehicle density and speed.
  • Sequential Logic Implementation: Features a realistic, timed traffic cycle (Red, Yellow, Green) controlled via software logic.
  • Cost-Effective & Scalable: Developed using accessible components like the Arduino Uno, making it ideal for localized pilot implementations in developing regions.
  • Environmental Impact: Aims to reduce fuel consumption and vehicular emissions by minimizing unnecessary idling times.

Hardware Requirements

  • Microcontroller: Arduino Uno R3 (ATmega328P)
  • Visual Indicators: LEDs (Red, Yellow, Green)
  • Protection: Resistors (220Ω or 330Ω) to limit current
  • Prototyping: Solderless Breadboard and Jumper Wires (Female to Male)
  • Power: USB Cable or External Power Supply (7-12V)

Software Requirements

  • Arduino IDE: For writing, compiling, and uploading the control logic
  • C++ Sketch: Programming script for sequential traffic light control

Circuit Configuration

  • Red LED: Connected to Digital Pin 2 via resistor
  • Yellow LED: Connected to Digital Pin 3 via resistor
  • Green LED: Connected to Digital Pin 4 via resistor
  • Common Ground: All LED cathodes (-) connected to the Arduino GND pin

How to Use

  1. Assemble the Circuit: Follow the pinout configuration mentioned above .
  2. Upload Code:
  • Open the Arduino IDE and paste the project code.
  • Select Arduino Uno under Tools > Board.
  • Click Upload to flash the code to your microcontroller.
  1. Operation: The lights will cycle through Red (5s), Yellow (2s), and Green (5s).

Future Recommendations

  • Sensor Integration: Adding IR, Ultrasonic, or Camera sensors for true real-time adaptive sensing.
  • Emergency Prioritization: Implementing RFID or wireless receivers to prioritize ambulances and fire trucks.
  • IoT Connectivity: Connecting intersections to a central hub via Wi-Fi or LoRa for city-wide coordination.

Acknowledgements

  • Institute: Mother Theresa Institute of Engineering and Technology (MTIET)
  • Guidance: Mr. K S Ranjith, Associate Professor (Dept. of AI&DS)
  • Project Team: B. Nithin Kumar, B. Akshaya, B. Prasanna Kumari, B. Vinay, and B. Pavani

License

This project is licensed under the MIT License. For more details, see the LICENSE file in this repository.