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Thunig, G. (2018). Einbindung eines alternativen Routingalgorithmus für öffentlichen Verkehr in die Verkehrssimulationssoftware MATSim. TU Berlin, Institute for Land and Sea Transport Systems


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


Bischoff, J. A. K. I. A. M. M. A. N. K. (2018). Simulation-based optimization of service areas for pooled ride-hailing operators. Procedia Computer Science. Elsevier BV, 816–823.



Salanova, J. M., Maciejewski, M., Bischoff, J., Estrada, M., Tzenos, P. and Stamos, I. (2018). Use of Probe Data Generated by Taxis. Big Data for Regional Science. Routledge, 22–37.


Agarwal, A. and Kaddoura, I. (2018). On-road air pollution exposure to cyclists in an agent-based simulation framework. NECTAR Cluster 7 Workshop: Social and Health Issues in Transportation


Bischoff, J. A. F. K. A. M. M. (2018). Impact assessment of autonomous DRT systems.


Vazifeh, M. M., Santi, P., Resta, G., Strogatz, S. H. and Ratti, C. (2018). Addressing the minimum fleet problem in on-demand urban mobility. Nature, 534.


Volotskiy, T., Smirnov, J., Ziemke, D. and Kaddoura, I. (2018). An Accessibility Driven Evolutionary Transit Network Design Approach in the Multi-agent Simulation Environment. Procedia Computer Science, 499–510.


Führer, K. (2018). Simulation-based assessment of demand responsive transport systems. TU Berlin, Institute for Land and Sea Transport Systems


Ziemke, D., Metzler, S. and Nagel, K. (2018). Bicycle traffic and its interaction with motorized traffic in an agent-based transport simulation framework. Future Generation Computer Systems

Link zur Publikation

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



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