  Governments and cities around the world are currently facing rapid growth in
the use of Electric Vehicles and therewith the need for Charging
Infrastructure. For these cities, the struggle remains how to further roll out
charging infrastructure in the most efficient way, both in terms of cost and
use. Forecasting models are not able to predict more long-term developments,
and as such more complex simulation models offer opportunities to simulate
various scenarios. Agent based simulation models provide insight into the
effects of incentives and roll-out strategies before they are implemented in
practice and thus allow for scenario testing. This paper describes the build up
of an agent based model that enables policy makers to anticipate on charging
infrastructure development. The model is able to simulate charging transactions
of individual users and is both calibrated and validated using a dataset of
charging transactions from the public charging infrastructure of the four
largest cities in the Netherlands.
