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Boettcher, N. (2016). Bestimmung des Ladebedarfs für Elektrofahrzeuge im Alltagsverkehr [49]. TU Berlin


Correa, J. R., Harks, T., Nagel, K., Peis, B. and Skutella, M. (2016). Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 15412) [50]. Dagstuhl Reports. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 19–34.

Link zur Publikation [51]

Maciejewski, M., Bischoff, J. and Nagel, K. (2016). An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching [52]. IEEE Intelligent Systems, 68–77.


Nagel, K. (2016 –). Investigating the use of simulated dynamic pricing to optimize transport systems [53].


Nagel, K. (2016 –). Untersuchung der Nutzung simulierter dynamischer Preise zur Optimierung von Verkehrssystemen [54].


Schirrmacher, N. (2017). Open-Data-basierte Erstellung von Verkehrsnetzwerken zur Modellierung von Kreuzungen inklusive Lichtsignalanlagen und Fahrspuren [55]. Technische Universität Berlin


Thunig, T., Kaddoura, I. and Nagel, K. (2017). Braess' paradox and congestion pricing in MATSim [56].


Thunig, T. and Nagel, K. (2017). The structure of user equilibria: Dynamic coevolutionary simulations vs. cyclically expanded networks [57]. Procedia Computer Science, 648–655.

Link zur Publikation [58]

Kaddoura, I., Agarwal, A. and Kickhöfer, B. (2017). Simulation-based optimization of congestion, noise and air pollution costs: the impact of transport users' choice dimensions [59]. ITEA Annual Conference and School on Transportation Economics


Ziemke, D., Joubert, J. W. and Nagel, K. (2017). Accessibility in a post-apartheid city: Comparison of two approaches for accessibility computations [60]. Networks and Spatial Economics, 241–271.


Ziemke, D., Metzler, S. and Nagel, K. (2017). Modeling bicycle traffic in an agent-based transport simulation [61]. Procedia Computer Science, 923–928.


Ziemke, D. and Nagel, K. (2017). Development of a fully synthetic and open scenario for agent-based transport simulations – The MATSim Open Berlin Scenario [62].


Zilske, M. and Nagel, K. (2017). Software Architecture for a Transparent and Versatile Traffic Simulation [63]. Agent Based Modelling of Urban Systems. Springer Nature, 73–87.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). An activity-based and dynamic approach to calculate road traffic noise damages [64]. Transportation Research Part D: Transport and Environment, 335–347.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). User-specific and dynamic internalization of road traffic noise exposures [65]. Networks and Spatial Economics, 153–172.


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