Abstract
The 'Intelligent Travel Assistance for Bus Passengers' introduces an innovative approach by integrating AI capabilities to enhance the notification system as passengers enter a predefined geo-fence. Geo-fence is a virtual border which is defined by GPS, which the user’s destination is at the center point. Users can have the flexibility to customize the notification range, determining how far in advance they receive alerts. This system employs Geo-Fencing and GPS technologies, accessible through the passenger's mobile phone location. The application, developed in Java and utilizing the Google Maps API for destination and geo-fence determination, ensures a user-friendly interface. Going beyond traditional methods, Passengers, can effortlessly select their bus services along with boarding and dropping points and specify approximate times, are ushered into a journey that prioritizes intuitiveness, security, and tailored convenience. In this project, the integration of AI takes this customization to the next level, learning real-time analysis and analyzing recent historical data to deliver personalized and adaptive travel assistance. The system's proactive approach, fueled by real-time traffic analysis and the ability to navigate route diversions intelligently, ensures that users receive timely and accurate alerts, even in dynamically changing conditions. On the infrastructure front, the project incorporates a PostgreSQL database, offering a robust and reliable foundation for data storage, retrieval, and management. Cloud services from AWS, Azure, and Google Cloud provide scalable and efficient hosting solutions. The Android app leverages background location tracking, ensuring accurate and continuous positioning. This holistic integration of technologies creates a sophisticated travel assistance system that combines innovation, customization, and reliability.
Published Version
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