The Discrete Mode Choice extension for MATSim makes it easy to define fine-grained and custom mode choice behaviour in MATSim simulations. Have a look at the Getting Started guide to dive right in or have a look at the existing Components if you are already familiar with the basic concepts.
The extensions offers three major pathways for improving mode choice in MATSim:
- A fully functional replacement of
SubtourModeChoice, but with the possibility to easily define custom constraints such as operating areas for certain mobility services or mode restrictions for specific user groups - An "importance sampler" for MATSim which samples choice alternatives with utility-based probabilities rather than purely at random and has the potential to speed up convergence
- A "mode choice in the loop" setup, in which MATSim acts as a bare assignment model, which runs in a loop with a customizable discrete mode choice model
To learn more about these applications (and how you can implement "frozen randomness") into your simulation, have a look at the Getting Started guide.
For more customized applications and set-ups, have a look at Customizing the framework.
When referencing the contrib, please use the following papers:
Hörl, S., M. Balac and K.W. Axhausen (2018) A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim, Procedia Computer Science, 130, 900-907.
Hörl, S., M. Balac and K.W. Axhausen (2019) Pairing discrete mode choice models and agent-based transport simulation with MATSim, paper presented at the 98th Annual Meeting of the Transportation Research Board, Washington D.C., January, 2019.
The Discrete Mode Choice extension has been used in the following publications:
- Becker, H., M. Balac, F. Ciari and K.W. Axhausen (2019) Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS), Transportation Research: Part A, 131, 228-243.
- Hörl, S., M. Balac and K.W. Axhausen (2019) Dynamic demand estimation for an AMoD system in Paris, paper presented at the 30th IEEE Intelligent Vehicles Symposium, June 2019, Paris, France.
- Hörl, S., M. Balac and K.W. Axhausen (2019) Pairing discrete mode choice models and agent-based transport simulation with MATSim, presented at the 98th Annual Meeting of the Transportation Research Board, January 2019, Washington D.C.
- Balac, M., H. Becker, F. Ciari and K.W. Axhausen (2019) Modeling competing free-floating carsharing operators – A case study for Zurich, Switzerland, Transportation Research: Part C, 98, 101-117.
- Balac, M., A.R. Vetrella, R. Rothfeld and B. Schmid (2018) Demand estimation for aerial vehicles in urban settings, accepted for publication in IEEE Intelligent Transportation Systems Magazine.
- Becker, H., M. Balac and F. Ciari (2018) Assessing the welfare impacts of MaaS: A case study in Switzerland, presented at the 7th Symposium of the European Association for Research in Transportation (hEART 2018), September 2018, Athens, Greece.
- Hörl, S., M. Balac and K.W. Axhausen (2018) A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim, Procedia Computer Science, 130, 900-907.