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Ewert, R., Martins-Turner, K., Thaller, C. and Nagel, K. (2020). Using a Route-based and Vehicle Type specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles [49].


Ewert, R., Grahle, A., Martins-Turner, K., Syré, A., Nagel, K. and Göhlich, D. (2020). Electrification of Urban Waste Collection: Introducing a Simulation-Based Methodology for Feasibility, Impact and Cost Analysis [50]. Technische Universität Berlin.


Ewert, R., Martins-Turner, K., Thaller, C. and Nagel, K. (2021). Using a Route-based and Vehicle Type Specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles [51]. Transportation Research Procedia, 517–524.


Esser, J. and Nagel, K. (1998). Census-based travel demand generation for transportation simulations [52]. Traffic and Mobility: Simulation – Economics – Environment. Springer, 135–148.


Eissfeldt, N., Krajzewicz, D., Nagel, K. and Wagner, P. (2006). Simulating traffic flow with queues [53]. -, 10.


Durst, D., Lämmel, G., Klüpfel, H., Walenciak, G., Zipf, A. and Nagel, K. (2011). Large-scale Evacuation Simulation with MATSim: Application to Hamburg [54].

Link zur Publikation [55]

Dressler, D., Flötteröd, G., Lämmel, G., Nagel, K. and Skutella, M. (2011). Optimal Evacuation Solutions for Large-Scale Scenarios [56]. Operations Research Proceedings 2010. Springer, Heidelberg, 239–244.


Dobler, C. and Lämmel, G. (2011). Integration of a microscopic force-based 2D pedestrian simulation into a framework for large-scale transport systems simulation [57].

Link zur Publikation [58]

Dobler, C. and Lämmel, G. (2012). A framework for large-scale multi-modal microscopic evacuation simulations [59]. International Conference on Evacuation Modeling and Management


Dobler, C., Lämmel, G. and Axhausen, K. (2014). Integration of a multi-modal simulation module into a framework for large-scale transport systems simulation [60]. Pedestrian and Evacuation Dynamics 2012. Springer Berlin Heidelberg.


Cupryjak, P. (2010). Die Güterstraßenbahn als alternativer Lösungsvorschlag für autoorientierte Stadtstrukturen am Beispiel von Warschau [61]. TU Berlin, Institute for Land and Sea Transport Systems


Creutzig, F., Franzen, M., Moeckel, R., Heinrichs, D., Nagel, K., Nieland, S. and Weisz, H. (2019). Leveraging digitalization for sustainability in urban transport [62]. Global Sustainability. Cambridge University Press (CUP).


Correa, J. R., Harks, T., Nagel, K., Peis, B. and Skutella, M. (2016). Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 15412) [63]. Dagstuhl Reports. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 19–34.

Link zur Publikation [64]

Cich, G., Knapen, L., Maciejewski, M., Yasar, A.-U.-H., Bellemans, T. and Janssens, D. (2017). Modeling Demand Responsive Transport using SARL and MATSim [65]. Procedia Computer Science, 1074–1079.

Link zur Publikation [66]

Chowdhury, D., Kertész, J., Nagel, K., Santen, L. and Schadschneider, M. (2000). Comment on: ``Critical behavior of a traffic flow model'' [67]. Physical Review E, 3270–3271.


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