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Inhalt des Dokuments


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Simon, P., Esser, J. and Nagel, K. (1999). Simple queueing model applied to the city of Portland. International Journal of Modern Physics, 941–960.

Kickhöfer, B., Agarwal, A. and Nagel, K. (2018). Mind the price gap: how optimal emission pricing relates to the EU CO\textsubscript2 reduction targets. International Journal of Sustainable Transportation

Kickhöfer, B., Agarwal, A. and Nagel, K. (2018). Liste: Jahr. Mind the price gap: how optimal emission pricing relates to the EU CO\textsubscript2 reduction targets

Neumann, A., Kaddoura, I. and Nagel, K. (2016). Mind the gap – Passenger arrival patterns in multi-agent simulations. International Journal of Transportation, 27–40.

Rümenapp, J., Seiler, I. and Steinmeyer, I. (2006). ´Mobilität in Deutschland 2002´ im Wochen- und Jahresgang. Zur zeitlichen Schwankung von Mobilitätskennwerten. Internationales Verkehrswesen, 211–216.

Balmer, M., Nagel, K. and Raney, B. (2004). Large scale multi-agent simulations for transportation applications. J.\ of Intelligent Transport Systems, 205–223.

K. Nagel and Schreckenberg, M. (1992). A cellular automaton model for freeway traffic. Journal de Physique I France, 2221–2229.

Maciejewski, M., Salanova, J. M., Bischoff, J. and Estrada, M. (2016). Large-scale microscopic simulation of taxi services. Berlin and Barcelona case studies. Journal of Ambient Intelligence and Humanized Computing, 1–9.

Link zur Publikation

Nagel, K., Grether, D., Beuck, U., Chen, Y., Rieser, M. and Axhausen, K. (2008). Multi-agent transport simulations and economic evaluation. Special issue on agent based models for economic policy advice, 173–194.

Link zur Publikation

Lakshay, Agarwal, A. and Bolia, N. B. (2016). Route guidance map for emergency evacuation. Journal of Risk Analysis and Crisis Response, 135–144.

Neumann, A., Röder, D. and Joubert, J. W. (2015). Towards a simulation of minibuses in South Africa. Journal of Transport and Land Use, 137–154.

Frazier, T. and Alfons, A. (2012). Generating a Close-to-Reality Synthetic Population of Ghana. Journal of Transport and Landuse

Kaddoura, I. (2015). Marginal Congestion Cost Pricing in a Multi-Agent Simulation: Investigation of the Greater Berlin Area. Journal of Transport Economics and Policy, 560–578.

Kaddoura, I., Kickhöfer, B., Neumann, A. and Tirachini, A. (2015). Optimal public transport pricing: Towards an agent-based marginal social cost approach. Journal of Transport Economics and Policy, 200–218.

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

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