Research project


Simulating the environmental and socioeconomic effects of Shared Autonomous Electric Vehicles: the case of Vienna

Which policies ensure that the transport system is efficient and socially inclusive, while maximizing environmental gains?


  • To identify environmental and socioeconomic effects of SAEVs, as wells as synergies and trade-offs between them.
  • To extend an agent-based model (ABM) of Vienna’s transport system with a module that allows for the simulation of scenarios related to SAEVs.
  • To support the formation of transport policies that lead to a reduction in CO2 emissions, while maintaining an efficient and inclusive transport system.


  • We use an agent-based model that is able to represent the complex interactions between the transportation system, socioeconomic factors and environmental factors.
  • We simulate different scenarios that differ in their assumption concerning SAEV technology, SAEV market structure, consumer preferences, and policy interventions.
  • The model is based on the software MATSIM.

Case: Vienna

  • The transport sector is responsible for almost 50% of the CO2 emissions in Vienna.
  • Transport-related infrastructure covers 16 km2 of space in Vienna.
  • Strong reliance on high-quality public transport.


Project lead. Mainly responsible for project management, literature reviews, and dissemination activities.

Mainly responsible for scenario definitions.

Mainly responsible for the programming of the agent-based transport model and the simulation of different scenarios.