Efficient Prediction of Spatio-Temporal Events on the Example of the Availability of Vehicles Rented per Minute.

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.