DEVELOPMENT OF AN INFORMATION SYSTEM FOR URBAN TAXIS BASED ON FASTAPI

Abstract

The article presents the development of an information system for urban taxi services and the results of an experimental evaluation of its key functional capabilities. The system is implemented using the FastAPI framework and PostgreSQL, enabling the automation of essential processes such as user registration, order creation, driver assignment, and real-time geolocation data processing. A geodesic distance calculation method is applied to determine the nearest driver, providing sufficient accuracy for urban environments. The driver status management mechanism demonstrated stability and correct state transitions during testing. The obtained results confirm the effectiveness of the proposed architecture and highlight its potential for further enhancement, including functional expansion, integration of analytical modules, and the application of route optimization methods. The system can serve as a foundation for developing full-scale urban taxi service platforms.