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TU Berlin

Inhalt des Dokuments

Publikationsliste

Suche Import

Meister, K., Balmer, M., Axhausen, K. and Nagel, K. (2006). planomat: A comprehensive scheduler for a large-scale multi-agent transportation simulation. Swiss Transport Research Conference (STRC)

Link zur Publikation

Meister, K., Rieser, M., Ciari, F., Horni, A., Balmer, M. and Axhausen, K. (2008). Anwendung eines agentenbasierten Modells der Verkehrsnachfrage auf die Schweiz. Proceedings of Heureka '08



Miranda Jahn, R., Syré, A. M., Grahle, A., Martins-Turner, K. and Göhlich, D. (2020). Methodology for Determining Charging Strategies for Freight Traffic Vehicles based on Traffic Simulation Results.


Miranda Jahn, R., Syré, A., Grahle, A., Schlenther, T. and Göhlich, D. (2020). Methodology for Determining Charging Strategies for Urban Private Vehicles based on Traffic Simulation Results. Procedia Computer Science. Elsevier BV, 751–756.


Moeckel, R. and Nagel, K. (2016). Maintaining Mobility in Substantial Urban Growth Futures. Transportation Research Procedia. Elsevier BV, 70–80.




Mourad, A., Puchinger, J. and Chu, C. (2019). Owning or sharing autonomous vehicles: comparing different ownership and usage scenarios. European Transport Research Review. Springer Science and Business Media LLC.



Müller, S. A., Balmer, M., Charlton, B., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. and Nagel, K. (2020). Using mobile phone data for epidemiological simulations of lockdowns: government interventions, behavioral changes, and resulting changes of reinfections. medarxiv.


Mustermann, M. (2018). How to write a scientific paper.


Müller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. and Nagel, K. (2021). Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. medarxiv


Müller, S. A., Balmer, M., Neumann, A. and Nagel, K. (2020). Mobility traces and spreading of COVID-19.



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