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Inhalt des Dokuments

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




Agarwal, A. and Kaddoura, I. (2019). On-road air pollution exposure to cyclists in an agent-based simulation framework. Periodica Polytechnica Transportation Engineering


Navidi, Z., Nagel, K. and Winter, S. (2019). Toward identifying the critical mass in spatial two-sided markets. Environment and Planning B: Urban Analytics and City Science. SAGE Publications, 239980831984218.


Bischoff, J. A. M. M. (2019). Current and Future Dynamic Passenger Transport Services: Modelling, Simulation, and Fleet Optimization in a Sustainable Transport System. Sustainable Transportation and Smart Logistics, 337–360.


Bischoff, J. A. M. M. A. S. T. A. N. K. (2019). Autonomous vehicles and their impact on parking search. IEEE Intelligent Transportation Systems



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



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


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


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


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