Print Email Facebook Twitter Data-driven public transport ridership prediction approach including comfort aspects Title Data-driven public transport ridership prediction approach including comfort aspects Author Van Oort, N. Drost, M. Brands, T. Yap, M. Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2015-07-19 Subject comfortcrowdingdemand predictionpublic transport modellingsmart card data To reference this document use: http://resolver.tudelft.nl/uuid:27cc9c96-f05a-4b2c-b9e2-c004ce73bf2f Source uuid:664c39b9-f66d-428d-a7a1-36070ecdc446 Source CASPT 2015: 13th International Conference on Advanced Systems in Public Transport, Rotterdam, The Netherlands, 19-23 July 2015 Part of collection Institutional Repository Document type lecture notes Rights (c) 2015 The Author(s) Files PDF 318490.pdf 980.75 KB Close viewer /islandora/object/uuid:27cc9c96-f05a-4b2c-b9e2-c004ce73bf2f/datastream/OBJ/view