Travel Time Prediction for Trams in Warsaw

  • Adam Zychowski
  • Konstanty Junosza-Szaniawski
  • Aleksander Kosicki
Conference paper

DOI: 10.1007/978-3-319-59162-9_6

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 578)
Cite this paper as:
Zychowski A., Junosza-Szaniawski K., Kosicki A. (2018) Travel Time Prediction for Trams in Warsaw. In: Kurzynski M., Wozniak M., Burduk R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham

Abstract

The paper presents a comparison between different prediction methods for trams time travels in Warsaw. Predictions are constructed based on historical trams GPS positions. Three different prediction approaches were implemented and compared with the official timetables and real time travels. Obtained results show that the official timetables provides only approximated time travel especially in rush hours. Proposed prediction methods outperform the official schedule in the term of time travel precision and may be used as a more accurate source of travel time for passengers.

Keywords

Transportation Travel time prediction Neural network Decision support system 

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Adam Zychowski
    • 1
  • Konstanty Junosza-Szaniawski
    • 1
  • Aleksander Kosicki
    • 1
  1. 1.Faculty of Mathematics and Information ScienceWarsaw University of TechnologyWarsawPoland

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