Key Features
Agent-Based Traffic Simulation
Simulate a large number of individual travelers in your transport model.
Private and Public Traffic
Simulate various transport modes, including car, transit, walk, bike, drt, …
Fast and Dynamic
MATSim simulates whole days second-by-second for fully dynamic results.
Supports large scenarios
MATSim can simulate large metropolitan areas in high level of details.
Active Development
MATSim continues to evolve and regularly gains new functionality.
Versatile Analyses and Simulation Output
Use preprocessed output or extract your own KPIs from the detailed simulation output.
Open Source
Adapt the code to your needs.
Modular Approach
Extend or replace functionality and algorithms based on your needs.
Show Cases
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Swiss Federal Railway (SBB)
The Swiss Federal Railway (SBB) operate a MATSim model covering all of Switzerland since around 2018 and use it for various planning purposes. Read more… Photo: Marcel Rieser -
MOIA
MOIA is the young mobility company of the Volkswagen Group and provides shared mobility services in multiple cities. Read more… Photo: MOIA -
ARUP
ARUP uses MATSim to build various models in the UK, but also to build a nation-wide ABM in New Zealand. Read more… Photo: ARUP -
Berliner Verkehrsbetriebe (BVG)
The Berliner Verkehrsbetriebe (BVG), Germany’s biggest public transport company, is responding to the challenges of future urban travel with innovative strategies and cutting-edge technology. Read more… Photo: BVG, Sven Lambert
How does MATSim work?
MATSim simulates the movements of persons (“agents”) and vehicles on a given road and public transport network.
Each agent tries to optimize its own day, but is influenced by the activities and trips of other agents.
With an iterative optimization process, MATSim is able to predict travel behavior in the real world.
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