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TU Berlin

Inhalt des Dokuments


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Hülsmann, F., Kickhöfer, B. and Gerike, R. (2013). Air pollution hotspots in urban areas – How effective are pricing strategies to comply with the EU limits for $NO_2$?. Strategies for Sustainable Mobilities: Opportunities and Challenges. Ashgate Publishing Ltd, 105–128.

Grether, D., Kickhöfer, B. and Nagel, K. (2009). Policy evaluation in multi-agent transport simulations considering income-dependent user preferences. 12th Conference of the International Association for Travel Behaviour Research (IATBR)

Link zur Publikation

Grether, D., Neumann, A. and Nagel, K. (2011). Traffic Light Control in Multi-Agent Transport Simulations.

Illenberger, J. and Flötteröd, G. (2011). Estimating properties from snowball sampled networks.

Link zur Publikation

Ziemke, T., Sering, L., Koch, L. V., Zimmer, M., Nagel, K. and Skutella, M. (2020). Flows Over Time as Continuous Limit of Packet-Based Network Simulations.

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

Illenberger, J., Flötteröd, G. and Nagel, K. (2008). An approach to correct biases induced by snowball sampling.

Link zur Publikation

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

Illenberger, J. (2007). Agent-based modeling of route switching behavior.. TU Berlin, Institute for Land and Sea Transport Systems , 45.

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

Link zur Publikation

Illenberger, J. (2012). Social Networks and Cooperative Travel Behaviour. TU Berlin

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