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
The research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688380.
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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. https://doi.org/10.1007/978-3-319-59162-9_6
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DOI: https://doi.org/10.1007/978-3-319-59162-9_6
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