🚌 BusAI: Intelligent Passenger Information System

A multi-agent project based on the BDI model, developed with Jason, Javino, and Arduino, aiming to provide dynamic and reliable information to passengers about bus location, occupancy, and status.

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🧠 Agent Architecture

The system is composed of three main agents:

🔵 Bus Agent

• Represents a bus in real time.
• Responsible for sending:
  • Geographic location
  • Current occupancy
  • Operating status
• Illustrative images:

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🟣 Stop Agent

• Simulates the bus stop totem.
• Interacts with the passenger providing:
  • Estimated arrival time
  • Occupancy of the next vehicle
  • Failure alerts
• Illustrative images:

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🟢 Coordinator Agent

• Ensures the consistency of information between bus and stop.
• Responsible for:
  • Managing data flow
• Illustrative image:

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🔧 Technologies Used

• Jason: development of BDI agents (AgentSpeak(L))
• Javino: communication with sensors and future integration with Arduino
• ChonIDE: development and debugging of agents
• Arduino: sensor reading (e.g., stop button, distance, occupancy)

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🖼️ Project Illustrations

• Bus Interactions

• Bus Agent Arduino

• Stop Agent Arduino Code

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🎥 Video Demonstration

Watch a demonstration of the project in action in the video below:

• https://youtu.be/Soi_GseQZrw?si=wFRLqCLAroHTtYZP

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⚙️ General Operation

The system responds to the passenger as follows:

1. The passenger interacts with the totem (Stop Agent)
2. The totem requests data from the Coordinator Agent
3. The Coordinator queries the Bus Agents
4. The passenger receives information about:
   • Arrival prediction
   • Occupancy
   • Vehicle failures

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👨‍💻 Authors

Lucas Lira, Andrei Serafim, Nilson Lazarin, Bruno Freitas, Carlos Pantoja

Bacharelado em Sistemas de Informação

Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (Cefet/RJ)

Nova Friburgo, RJ -- Brazil

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