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.
- 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.
- 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)
- Arduino IDE: For writing, compiling, and uploading the control logic
- C++ Sketch: Programming script for sequential traffic light control
- 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
- Assemble the Circuit: Follow the pinout configuration mentioned above .
- 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.
- Operation: The lights will cycle through Red (5s), Yellow (2s), and Green (5s).
- 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.
- 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
This project is licensed under the MIT License. For more details, see the LICENSE file in this repository.