Abstract
This article shows a solution to the problem of predicting the availability of vehicles rented per minute in a city. A grid-based spatial model with use of LSTM network augmented with Time Distribution Layer was developed and tested against actual vehicle availability dataset. The dataset was also made publicly available for researchers as a part of this study. The predictive model developed in the study is used in a multi-modal trip planner.
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Notes
- 1.
The prediction module based on results described in this paper is part of the commercial MaaS solution offered by Vooom Inc. available at https://planner.app.vooom.pl/.
- 2.
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Acknowledgment
Project was partially financed by EU European Regional Developement Fund within the Inteligent Developement Program. Project realised within the Narodowe Centrum Badań i Rozwoju Szybka Ścieżka program.
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Balcerzak, B., Nielek, R., Nowacki, J.P. (2021). Efficient Prediction of Spatio-Temporal Events on the Example of the Availability of Vehicles Rented per Minute. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12742. Springer, Cham. https://doi.org/10.1007/978-3-030-77961-0_8
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