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TU Berlin

Inhalt des Dokuments

Publikationsliste

Suche Import

Schreckenberg, M. and Nagel, K. (1995). Physical modelling of traffic with stochastic cellular automata. ISATA_95. ISATAPUB, 531.


Böhme, T. (2011). Analyse und Simulation von Verspätungen im europäischen Linien-Luftverkehr. TU Berlin, Institute for Land and Sea Transport Systems


Flötteröd, G. and Nagel, K. (2008). Online traffic state estimation with multi-agent simulations. 4th International Symposium Networks for Mobility


Cabrita, I., Gayda, S., Hurtubia, R., Efthymiou, D., Thomas, I., Peeters, D., Jones, J., Cotteels, C., Nagel, K., Nicolai, T. and Röder, D. (2015). Integrated land use and transport microsimulation for Brussels. Integrated Transport and Land Use Modeling for Sustainable Cities. EPFL press, 373–412.


Cavens, D., Gloor, C., Illenberger, J., Lange, E., Nagel, K. and Schmid, W. A. (2005). Distributed intelligence in pedestrian simulations.


Schröder, S., Zilske, M., Liedtke, G. and Nagel, K. (2011). Der Transportlogistikdienstleister in einem Multiagentenmodell des Güterverkehrs. Wirtschaftsverkehr 2011: Modelle – Strategien – Nachhaltigkeit. Verlag Praxiswissen, 77–95.


Cetin, N. (2005). Large-scale parallel graph-based simulations. ETH Zurich, Switzerland


Schröder, S., Zilske, M., Liedtke, G. and Nagel, K. (2012). A computational framework for a multi-agent simulation of freight transport activities.


Cetin, N., Burri, A. and Nagel, K. (2003). A Large-Scale Agent-Based Traffic Microsimulation Based On Queue Model. Swiss Transport Research Conference (STRC)

Link zur Publikation

Frazier, T. J. (2010). Powering Accra: Projecting electricity demand for Ghana's capital city. Rheinische Friedrich-Wilhelms-Universität Bonn


Cetin, N. and Nagel, K. (2001). Large scale transportation simulations on Beowulf clusters. Swiss Transport Research Conference (STRC)

Link zur Publikation

Sering, L., Koch, L. V. and Ziemke, T. (2021). Convergence of a Packet Routing Model to Flows Over Time.




Shoufeng, M. and Nagel, K. (2005). Road Network Reliability: A Method Based on Risk. Berlin, 11.


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