MATSim

MATSim (the Multi-Agent Transport Simulation Toolkit) is an open source software development project developing agent-based software modules intended for use with transportation planning models.

History[edit]

"The MATSim project started with Kai Nagel, then at ETH Zurich, and his interest in improving his work with, and for, the TRansportation ANalysis and SIMulation System (TRANSIMS) project; he also wanted to make the resulting code open-source. After Kai Nagel’s departure to TU Berlin in 2004, Kay Axhausen joined the team, bringing a different approach and experience." ^[1]

Areas of Application[edit]

MATSim has been applied to various areas: road transport,^[2] public transport,^[3] freight transport, regional evacuation etc. ^[1]

References[edit]

^ ^a ^b The Multi-Agent Transport Simulation MATSim, edited by Andreas Horni, Kai Nagel, Kay W. Axhausen. https://github.com/matsim-org/book
^ Mahmud, Khizir; Town, Graham E. (June 2016). "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks". Applied Energy. 172: 337–359. doi:10.1016/j.apenergy.2016.03.100.
^ Scherr, Wolfgang; Manser, Patrick; Bützberger, Patrick (2020). "SIMBA MOBI: Microscopic Mobility Simulation for Corporate Planning". Transportation Research Procedia. 49: 30–43. doi:10.1016/j.trpro.2020.09.004.

External links[edit]

http://www.matsim.org/

This free and open-source software article is a stub. You can help Wikipedia by expanding it.

[horni2015-1] The Multi-Agent Transport Simulation MATSim, edited by Andreas Horni, Kai Nagel, Kay W. Axhausen. https://github.com/matsim-org/book

[2] Mahmud, Khizir; Town, Graham E. (June 2016). "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks". Applied Energy. 172: 337–359. doi:10.1016/j.apenergy.2016.03.100.

[3] Scherr, Wolfgang; Manser, Patrick; Bützberger, Patrick (2020). "SIMBA MOBI: Microscopic Mobility Simulation for Corporate Planning". Transportation Research Procedia. 49: 30–43. doi:10.1016/j.trpro.2020.09.004.

[1]

[2]

[3]