Simulating mobility

Congested roads and polluted cities are major challenges of contemporary societies. Several measures have been debated or even implemented, to restrict traffic and to reduce emissions. Agent-based models, encompassing the social logic of decision-making, help to better understand mobility patterns and transportation systems. Furthermore, simulation experiments are a suitable means to analyse the impact of political interventions, e.g. to make the transportation system more sustainable.



  • Johannes Weyer (TU Dortmund)
  • Kay Cepera (TU Dortmund)
  • Julius Konrad (TU Dortmund)

Keywords: agent-based modelling, mobility, transportation, sustainability, transition


List of presentations

AuthorsTitleType of SubmissionPresentation Time
Simon Plakolb, Georg Jaeger, Christian Hofer and Manfred FüllsackThe effect of urban and rural mobility behaviour on congestion and emissions resulting from private motorized trafficFull paper30 min
Kay Cepera and Julius KonradSimulating governance of complex transportation systemsFull paper30 min
Khoa Nguyen and René SchumannAn Exploratory Comparison of Behavioural Determinants in Mobility Modal ChoicesFull paper30 min
Wander Jager and Patrycja AntoszModelling social dynamics in communities using HUMATFull paper30 min
Maike Puhe, Lars Briem and Peter VortischSimulating social contexts in transport demand modellingExtended abstract15 min
Charlotte Senkpiel and Jessica BerneiserSimulating the adoption of electric vehicles under consideration of person-related variablesExtended abstract15 min
Neil Stephen Lopez, Jimwell Soliman and Jose Bienvenido Manuel BionaSimulation of electric vehicle diffusion by modeling social, economic, political, market and technology factorsExtended abstract15 min
Jesús López Baeza, Jörg Rainer Noennig, Vanessa Weber, Arnaud Grignard, Ariel Noyman, Kent Larson, Sebastian Saxe and Ulrich BaldaufTesting optimization scenarios of cruise passenger land transportation using agent-based modelsExtended abstract15 min