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TU Berlin

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Zilske, M. (2018). Transparent and versatile traffic simulation. Technische Universität Berlin.


Zilske, M. and Joubert, J. W. (2016). Freight Traffic. The Multi-Agent Transport Simulation MATSim. Ubiquity Press, 155–156.


Zilske, M. and Nagel, K. (2012). Towards volunteered digital travel demand data. 7th International Conference on Geographic Information Science, Extended Abstracts

Link zur Publikation

Zilske, M. and Nagel, K. (2013). Building a minimal traffic model from mobile phone data. NetMob 2013, 3rd International Conference on the Analysis of Mobile Phone Datasets, Special session on the D4D challenge


Zilske, M. and Nagel, K. (2014). Studying the accuracy of demand generation from mobile phone trajectories with synthetic data. Procedia Computer Science, 802–807.


Zilske, M. and Nagel, K. (2015). A Simulation-based Approach for Constructing All-day Travel Chains from Mobile Phone Data. Procedia Computer Science, 468–475.


Zilske, M. and Nagel, K. (2017). Software Architecture for a Transparent and Versatile Traffic Simulation. Agent Based Modelling of Urban Systems. Springer Nature, 73–87.


Zilske, M., Neumann, A. and Nagel, K. (2011). OpenStreetMap for Traffic Simulation. 1st European State of the Map – OpenStreetMap conference, 126–134.

Link zur Publikation

Zwick, F. (2017). Analysis and simulation of Santiago de Chile’s colectivo system. TU Berlin, Institute for Land and Sea Transport Systems


Barrett et al, C.L. (1997). The Dallas-Fort Worth Case Study.



Moyo Oliveros, M. and Nagel, K. (2016). Automatic calibration of agent-based public transit assignment path choice to count data. Transportation Research Part C, 58–71.


Moyo Oliveros, M. and Nagel, K. (2012). Liste: Jahr. Automatic Calibration of Microscopic, Activity-Based Demand for a Public Transit Line




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