SCARLET-X is an Arduino-based intelligent traffic management system that optimizes signal timing using ultrasonic vehicle detection and a pedestrian crossing button. It enhances road safety, reduces unnecessary power consumption, and ensures efficient traffic flow.
- Adaptive Signal Control – Keeps the signal red for up to 30 seconds if no vehicle is detected, reducing power consumption.
- Real-time Vehicle Detection – Uses an HC-SR04 ultrasonic sensor to detect vehicles and resume normal traffic cycles.
- Pedestrian Crossing System – A push-button interface ensures pedestrian crossing requests are acknowledged safely.
- Efficient Traffic Flow – Automatically adjusts signals based on road conditions to prevent unnecessary delays.
- Microcontroller: Arduino UNO
- Sensors: HC-SR04 Ultrasonic Sensor
- Traffic Signals: LEDs (Red, Yellow, Green)
- Pedestrian Button: Push-button for crossing requests
- Power Optimization: Reduces energy consumption by minimizing active signals when no vehicles are present
- Normal Traffic Light Cycle – The system follows a standard traffic sequence: Green → Yellow → Red.
- Pedestrian Request – If the pedestrian button is pressed, the system ensures safe crossing by shifting the signals accordingly.
- Vehicle Detection – The HC-SR04 sensor detects approaching vehicles; if none are detected for 30 seconds, the light stays red to save power.
- Resuming Normal Cycle – The system resumes the standard traffic light sequence when a vehicle is detected.
SCARLET-X can be tested using Tinkercad for virtual simulations before deploying it on hardware.
SCARLET-X_Arduino.ino– Arduino source code- Circuit Diagram – Wiring layout for components
- Tinkercad Link – Click here
- Clone the repository:
git clone https://github.com/yourusername/SCARLET-X.git
- Open
SCARLET-X_Arduino.inoin Arduino IDE. - Upload the code to an Arduino UNO.
- Assemble the circuit as per the provided diagram.
- Run the system and observe the adaptive traffic control in action.
This project is licensed under the MIT License – feel free to modify and enhance it!
Pull requests are welcome! If you'd like to contribute, please fork the repo and submit a PR.
For any queries, reach out to Achutha Thyagaraju at [email protected].