ITS : Intelligent Transit System

Authors

  • Alen K Suresh APJ Abdul Kalam Technological University Author
  • Archith Kumar M N APJ Abdul Kalam Technological University Author
  • Gourishankar A J APJ Abdul Kalam Technological University Author
  • V P Sidharth APJ Abdul Kalam Technological University Author
  • Thasni K N Author

Keywords:

GTFS, ETA, GPS, PostgreSQL, Haversine, MAE

Abstract

This project introduces a comprehensive bus journey planning and real-time tracking system designed to enhance urban transportation. It integrates GTFS data, a customized journey finder module, and a PostgreSQL-supported database to deliver an interactive user experience. Users can log in, plan trips—whether direct or involving multiple legs with transfers—and track buses in real time via an interactive map. The application leverages geolocation features to automatically detect the nearest bus stop and compute travel routes, schedules, and fare estimates. Furthermore, it employs external routing services to guarantee accurate estimated arrival times and route mapping. A responsive web interface built on Flask seamlessly connects the various components for journey planning, bus tracking, and user authentication. Ultimately, this initiative aims to improve public transit navigation and enhance the overall commuting experience by providing dynamic, real-time transit information.

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Published

2025-04-18

How to Cite

ITS : Intelligent Transit System. (2025). IES International Journal of Multidisciplinary Engineering Research, 1(2), 257-264. https://www.iescepublication.com/index.php/iesijmer/article/view/14