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TU Berlin

Inhalt des Dokuments

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Heinze, W. (2006). Kurskorrektur – Eine Ortsbestimmung der Raumordnung aus Verkehrssicht. Raumforschung und Raumordnung, 135–146.


Schröder, S., Zilske, M., Liedtke, G. and Nagel, K. (2012). Towards a Multi-Agent Logistics and Commercial Transport Model: The Transport Service Provider's View. Procedia Social and Behavioral Sciences. Elsevier, 649–663.


Kowald, M., Frei, A., Hackney, J., Illenberger, J. and Axhausen, K. (2010). Collecting data on Leisure Travel: The Link between Leisure Acquaintances and Social Interactions. Procedia Social and Behavioral Sciences, 38–48.


Röder, D. and Nagel, K. (2014). Integrated analysis of commuters' energy consumption. Procedia Computer Science, 699–706.


Grether, D., Fürbas, S. and Nagel, K. (2013). Agent-based Modelling and Simulation of Air Transport Technology. The 2nd International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications, 821–828.


Grether, D. and Nagel, K. (2013). Extensible Software Design of a Multi-Agent Transport Simulation. Procedia Computer Science, 380–388.

Link zur Publikation

Grether, D., Neumann, A. and Nagel, K. (2012). Simulation of Urban Traffic Control: A Queue Model Approach. The 2nd International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications, 808–814.


Thunig, T. and Nagel, K. (2016). Braess's paradox in an agent-based transport model. Procedia Computer Science, 946–951.

Link zur Publikation


Thunig, T., Scheffler, R., Strehler, M. and Nagel, K. (2019). Optimization and simulation of fixed-time traffic signal control in real-world applications. Procedia Computer Science. Elsevier BV, 826–833.


Volotskiy, T., Smirnov, J., Ziemke, D. and Kaddoura, I. (2018). An Accessibility Driven Evolutionary Transit Network Design Approach in the Multi-agent Simulation Environment. Procedia Computer Science, 499–510.



Ziemke, D., Knapen, L. and Nagel, K. (forthcoming). Expanding the analysis scope of a MATSim transport simulation by integrating the FEATHERS activity-based demand model. Procedia Computer Science


Ziemke, D., Metzler, S. and Nagel, K. (2017). Modeling bicycle traffic in an agent-based transport simulation. Procedia Computer Science, 923–928.


Ziemke, D., Nagel, K. and Moeckel, R. (2016). Towards an Agent-based, Integrated Land-use Transport Modeling System. Procedia Computer Science, 958–963.


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