Print Email Facebook Twitter Supervised learning Title Supervised learning: Predicting passenger load in public transport Author Heydenrijk-Ottens, L.J.C. (TU Delft Transport and Planning) Degeler, V. (TU Delft Transport and Planning) Luo, D. (TU Delft Transport and Planning) van Oort, N. (TU Delft Transport and Planning) van Lint, J.W.C. (TU Delft Transport and Planning) Date 2018 Abstract In this extended abstract, we show the supervised learning approach topredicting 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. Subject Public transportHubspassenger loadsupervised learningprediction To reference this document use: http://resolver.tudelft.nl/uuid:bd7f1221-4d02-44df-8f9a-4687719c407e Source Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018: 23-25 July, Brisbane, Australia Event Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, 2018-07-23 → 2018-07-25, Brisbane Convention and Exhibition Centre, Brisbane, Australia Part of collection Institutional Repository Document type conference paper Rights © 2018 L.J.C. Heydenrijk-Ottens, V. Degeler, D. Luo, N. van Oort, J.W.C. van Lint Files PDF CASPT_2018_paper_76.pdf 1.15 MB Close viewer /islandora/object/uuid:bd7f1221-4d02-44df-8f9a-4687719c407e/datastream/OBJ/view