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From Raw GPS to GTFS: A Real-World Open Dataset for Bus Travel Time Prediction

Author

Listed:
  • Aigerim Mansurova

    (Big Data and Blockchain Technologies Research and Innovation Center, Astana IT University, 020000 Astana, Kazakhstan)

  • Aigerim Mussina

    (Department of Computer Science, Al-Farabi Kazakh National University, 71 al-Farabi Avenue, 050040 Almaty, Kazakhstan)

  • Sanzhar Aubakirov

    (Department of Computer Science, Al-Farabi Kazakh National University, 71 al-Farabi Avenue, 050040 Almaty, Kazakhstan)

  • Aliya Nugumanova

    (Big Data and Blockchain Technologies Research and Innovation Center, Astana IT University, 020000 Astana, Kazakhstan)

  • Didar Yedilkhan

    (Smart City Research and Innovation Center, Astana IT University, 020000 Astana, Kazakhstan)

Abstract

The data descriptor introduces an open, high-resolution dataset of real-world bus operations in Astana, Kazakhstan, captured from GPS trajectories between July and September 2024. The data covers three high-frequency routes and have been processed into a GTFS format, enabling direct use with existing transit modeling tools. Unlike typical static GTFS feeds, this dataset provides empirically observed dwell times, run times, and travel times, offering a detailed snapshot of operational variability in urban bus systems. The dataset supports applications in machine learning–based travel time prediction, timetable optimization, and transit reliability analysis, especially in settings where live feeds are unavailable. By releasing this dataset publicly, we aim to promote transparent, data-driven transport research in emerging urban contexts.

Suggested Citation

  • Aigerim Mansurova & Aigerim Mussina & Sanzhar Aubakirov & Aliya Nugumanova & Didar Yedilkhan, 2025. "From Raw GPS to GTFS: A Real-World Open Dataset for Bus Travel Time Prediction," Data, MDPI, vol. 10(8), pages 1-16, July.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:8:p:119-:d:1707743
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    References listed on IDEAS

    as
    1. Zhenzhong Yin & Bin Zhang, 2023. "Bus Travel Time Prediction Based on the Similarity in Drivers’ Driving Styles," Future Internet, MDPI, vol. 15(7), pages 1-18, June.
    2. Eugene Sogbe & Susilawati Susilawati & Tan Chee Pin, 2025. "Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries," Public Transport, Springer, vol. 17(1), pages 1-44, March.
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