Agent-based modelling and simulation of public transport to identify effects of network changes on passenger flows

This research looks at the application of an agent-based model to assess the effects of changes in the public transport on pas- senger flows. Data from public transport company GVB was provided by the municipality of Amsterdam. We used domain knowledge, litera- ture and data to create a simulation of a baseline scenario and a scenario with a malfunctioning tram line using Agent-Based Modelling. Our sim- ulations show that the malfunctions result in different occupancy levels of several lines and cause an increase in waiting time for a lot of peo- ple. Future research should be aimed at implementing the model for the complete transport network in a city like Amsterdam and expanding the behaviour of the different agent types.