User models of decision-making for digital twins

Digital twins of urban environments are widely used to predict traffic flow through cities. Digital twins model human behavior using agent-based modelling. Although successful, the psychological grounding of these models, and therefore validity, is limited. We will investigate how individual differences in decision making can be modelled in digital twins in a validated, psychologically plausible way.

Involved researchers and collaborators

Leendert van Maanen

Chris Janssen

Roland Geraerdts

Bas Spierings

Taoufik Bakri (TNO)

Floor Bontje