Your Partner for Advanced Transport Planning Challenges
Cities and mobility companies need policy-ready answers, but many models fail on pressing urban challenges.
We have the tools and expertise to tackle the advanced challenges in modern transport planning.
MATSim is our solution to today’s and tomorrow’s needs for innovative solutions to a changing world:
MATSim enables amazing capabilities.
Have a look at these impressive research results for MATSim:
EV Charging
Large fleets of electric vehicles might impose high peak demands for charging capacity in dense urban areas. How does the electricity grid cope with such demand, and how could it be optimized?
Research paper: Kreuschner, Moritz & Schlenther, Tilmann, 2025. “Simulation of Daily Charging Behaviour in MATSim: A Case Study of Das Neue Gartenfeld in Berlin,” MATSim User Meeting 2025.
Optimizing Public Transport
MATSim can help designing new and improved public transport systems, integrating with existing lines around it and potentially showing cheaper modes of operation.
Research paper: Manser, Patrick & Becker, Henrik & Hörl, Sebastian & Axhausen, Kay W., 2020. “Designing a large-scale public transport network using agent-based microsimulation,” Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 1-15.
Research paper: Neumann, Andreas, 2014. “A paratransit-inspired evolutionary process for public transit network design,” Dissertation, TU Berlin.
Urban Cable Cars
As the urban space becomes more and more dense, innovative transport solutions have to explore the third dimension. This is why more and more cities build aerial tramways that directly connect districts high above the roofs.
MATSim can easily incorporate such cable cars as part of the public transport and help to estimate ridership and travel time improvements for the affected people.
Road Pricing
Road pricing – or mobility pricing in general – are often frowned upon at first. It is thus even more important to be able to show what benefits such measures bring, who benefits, and how actually the welfare might improve.
Research paper: Meyer de Freitas, Lucas & Schuemperlin, Oliver & Balac, Milos & Ciari, Francesco, 2017. “Equity Effects of Congestion Charges: An Exploratory Analysis with MATSim,” Transportation Research Record: Journal of the Transportation Research Board, No. 2670, 2017, pp. 75–82.
Freight Simulation
Freight vehicles take an ever increasing share of vehicles on our roads, especially in urban centers with a high number of parcel deliveries or logistics for restocking supermarkets. What distances do such freight vehicles unwind every day? How realistic is it to cover this with a fleet of electric truck?
Research paper: Martins-Turner, Kai & Grahle, Alexander & Nagel, Kai & Göhlich, Dietmar, 2020. “Electrification of Urban Freight Transport – a Case Study of the Food Retailing Industry,” 9th International Workshop on Agent-based Mobility, Traffic and Transportation Models (ABMTRANS).
Evacuation
Floods after heavy rain, bush fires after a long draught — there are a number of reasons why a large area might need to be evacuated.
MATSim can simulate the evacuation process in more or less detail, depending on your needs, helping to decide which punctual improvements provide the best benefit to a resilient evacuation route planning.
Research paper: Lämmel, Gregor & Nagel, Kai, 2009. “Multi-agent based large-scale evacuation simulation,” Presented at the Annual Meeting of the Transportation Research Board (TRB 2009).
Reach out to us for your use case:
We can support your transport planning project to provide faster and better answers:
We support the model design and validation at critical stages.
We free up your team to focus on modeling and analysis.
We make MATSim predictable and safe through deep platform knowledge.
You can work with advanced agent-based models efficiently and confidently.
You can own the domain context and stakeholder communication.
You can lead client relationship, the project framing and deliver the project under your brand.
Partnering with us allows you to take full advantage of advanced transport planning methodology and turn it into a competitive advantage.