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Smart Traffic-System-Basys3

This project is a Smart Traffic Management System developed using VHDL and implemented on a Basys 3 FPGA board. The purpose of this project is to optimize traffic flow and enhance safety by integrating advanced monitoring and control features.

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Features

Traffic Light System

  • Four main vehicular traffic lights (Red, Yellow, Green) to regulate vehicle flow.
  • Four pedestrian-specific lights to ensure safety for individuals crossing the intersection.
  • Traffic lights are designed following the German Traffic System.

Ultrasonic Sensors

  • Ultrasonic sensors are positioned centrally to detect vehicle presence and movement.
  • These sensors form a square at the intersection of the lanes, enabling dynamic control of traffic signals.

Buzzer System

  • A buzzer alerts for traffic violations, such as vehicles crossing during a red light.
  • Promotes safety and ensures rule compliance.

Environmental Monitoring

  • A DHT11 temperature sensor monitors environmental conditions.
  • Offers potential adaptability for extreme weather scenarios.

Additional Features

  • A 220V LED system is used to simulate real-world traffic light conditions.
  • Real-time monitoring and decision-making ensure efficient traffic flow.

Technical Details

  • The project is programmed in VHDL.
  • Implemented using the Basys 3 FPGA board, leveraging its GPIOs and digital capabilities.
  • The LCD display provides real-time feedback on system status, such as temperature readings and sensor activity.

Future Scope

  • Integration of IoT for remote traffic management and monitoring.
  • Implementation of AI-based predictive models to improve traffic efficiency further.
  • Expansion to include more sensors for complex intersections.

Authors

  • Mostafa Mohamed Abdelaziz
  • Ahmed Adel Sanad
  • Ahmed Sherif Elafandy
  • Mohammad Soufi
  • Hassan Elgohary
  • Marwan Elsayed Ali

Drive includes video: https://drive.google.com/drive/folders/1XLDRS9gq8AhIFBP5GQdAdBeGjmAlp-tv?usp=sharing

This project demonstrates the power of real-time sensing and hardware-based control to address modern urban traffic challenges efficiently. It serves as a robust model for a smart city initiative.

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