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TU Berlin

Inhalt des Dokuments

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Kaddoura, I. and Nagel, K. (2018). Simultaneous internalization of traffic congestion and noise exposure costs. Transportation, 1579–1600.


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


Kaddoura, I. A. N. K. (2018). Using real-world traffic incident data in transport modeling. Procedia Computer Science. Elsevier BV, 880–885.


Kickhöfer, B., Agarwal, A. and Nagel, K. (2018). Mind the price gap: how optimal emission pricing relates to the EU CO\textsubscript2 reduction targets. International Journal of Sustainable Transportation


Kühnel, N., Thunig, T. and Nagel, K. (2018). Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation. Procedia Computer Science. Elsevier BV, 894–899.


Maciejewski, M. A. B. J. (2018). Congestion effects of Autonomous Taxi fleets. Transport, 971–980.


Nagel, K. A. L. G. A. J. J. (2017 –). Carrier Agents and Interactions withTraffic Flows.


Nagel, K. A. L. G. A. J. J. (2017 –). Frachtführer und ihre Interaktionen mit dem Verkehrsfluss.




Bischoff, J. A. M. M. A. N. K. (2017). City-wide shared taxis: A simulation study in Berlin. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE.


Leich, G. (2017). Agentenbasierte Simulation autonom fahrender Rufbusse im Nordwesten Berlins. TU Berlin, Institute for Land and Sea Transport Systems


Thunig, T. and Nagel, K. (2017). Towards a robust and wide-area traffic signal control for inner-city areas. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)


Zwick, F. (2017). Analysis and simulation of Santiago de Chile’s colectivo system. TU Berlin, Institute for Land and Sea Transport Systems


Zilske, M. and Nagel, K. (2017). Liste: Jahr. Software Architecture for a Transparent and Versatile Traffic Simulation. Springer Nature, 73–87.


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