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8th Symposium of the European Association for Research in Transportation (hEART 2019) was held in Budapest, Hungary, from 4-6 September 2019. Our group contributed with six interesting presentations. Check out below for more details.


Garrido M., S. H., Borysov, S. S., Pereira, F. C., Rich, J.
Deep generative models for combined population and job synthesis

Servizi, V., Pereira, F. C., Nielsen, O. A.
A deep learning and data fusion approach towards an off-line stop detection method for smartphone-based travel surveys

Rich, J., Flotterod, G., Garrido M., S. H., Pereira, F. C.
Review of population synthesis methodologies

Dastjerdi, A. M., Hess, S., Pereira, F. C.
Discovering causal structure from attitudinal data: what motivates people to use mobility-management travel apps

Duran, D., Wulfhorst, G., Pereira, F. C.
Spatial factors influencing bikesharing usage: a “mobility culture” approach

Borysov, S. S., Rich, J.
Identifying “slow” and “fast” movers in a travel preference space: application of a synthetic pseudopanel approach

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Related

MLSM Group at ICMC 2019: 6 presentations
MLSM Group at IEEE ITSC 2019: 2 papers

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DK-2800 Kgs. Lyngby

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