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Maciejewski, M. and Nagel, K. (2013). Liste: Jahr. Simulation and dynamic optimization of taxi services in MATSim


Maciejewski, M. and Nagel, K. (2013). Liste: Jahr. A microscopic simulation approach for optimization of taxi services. TUDpress, 1–10.




Marchal, F. and Nagel, K. (2005). Computation of location choice of secondary activities in transportation models with cooperative agents. Applications of Agent Technology in Traffic and Transportation. Birkhäuser, 153–164.


Marchal, F. and Nagel, K. (2005). Modeling Location Choice of secondary activities with a social network of Cooperative Agents. Transportation Research Record, 141–146.


Márquez-Fernández, F. J., Bischoff, J., Domingues-Olavarría, G. and Alaküla, M. (2021). Assessment of future EV charging infrastructure scenarios for long-distance transport in Sweden. IEEE Transactions on Transportation Electrification. Institute of Electrical and Electronics Engineers (IEEE).


Martins-Turner, K., Grahle, A., Nagel, K. and Göhlich, D. (2020). Electrification of Urban Freight Transport - a Case Study of the Food Retailing Industry.


Martins-Turner, K., Nagel, K. and Michael, Z. (2018). Agent-based Modelling and Simulation of Tour Planning in Urban Freight Traffic.


Martins-Turner, K., Grahle, A., Nagel, K. and Göhlich, D. (2020). Electrification of Urban Freight Transport - a Case Study of the Food Retailing Industry. Procedia Computer Science, 757–763.


Martins-Turner, K. and Nagel, K. (2019). How driving multiple tours affects the results of last mile delivery vehicle routing problems. Procedia Computer Science. Elsevier BV, 840–845.



Mayobre, M. (2018). Erweiterung einer Verkehrssimulationssoftware um ein Modell zur Berechnung von Unfallkosten. TU Berlin, Institute for Land and Sea Transport Systems


Meinhardt, S., Schlenther, T., Martins-Turner, K. and Maciejewski, M. (2022). Simulation of On-Demand Vehicles that Serve both Person and Freight Transport.


Meister, K., Balmer, M., Axhausen, K. and Nagel, K. (2006). planomat: A comprehensive scheduler for a large-scale multi-agent transportation simulation. 11th Conference on Travel Behavior Research (IATBR)

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