Title:	Activity Based Travel Demand Modelling
DNr:	SNIC 2021/22-255
Project Type:	SNIC Small Compute
Principal Investigator:	Anders Karlström <anders.karlstrom@abe.kth.se>
Affiliation:	Kungliga Tekniska högskolan
Duration:	2021-04-01 – 2022-04-01
Classification:	20105
Homepage:	http://www.sek.abe.kth.se/
Keywords:

Abstract

We use SNIC resources as part of the ongoing development of Scaper, a travel demand model based on dynamic discrete choice theory and activity based modelling that is developed at the division of Systems Anaylsis and Economics at KTH. The project is partly used to allow us to run existing code and test new specifciations and provide new estimates when needed, and partly for new projects. SNIC resources is mainly used to estimate the model using travel surveys, consisting of ~10000 observations. Estimation is an embarrassingly parallel problem, and it could probably scale well up to the number of observations. During the comming year, we may also start using GPS data, giving us access to possibly 10-100x more observations. This will increase our need to use super computers.