Supervised learning
Predicting passenger load in public transport
L.J.C. Heydenrijk-Ottens (TU Delft - Transport and Planning)
V. Degeler (TU Delft - Transport and Planning)
Ding Luo (TU Delft - Transport and Planning)
Niels van Van Oort (TU Delft - Transport and Planning)
Hans Lint (TU Delft - Transport and Planning)
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Abstract
In this extended abstract, we show the supervised learning approach to
predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.