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TU Berlin

Inhalt des Dokuments

Publikationsliste

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Agarwal, A., Lämmel, G. and Nagel, K. (2017). Liste: Jahr. Incorporating within link dynamics in an agent-based computationally faster and scalable queue model, 520–541.


Agarwal, A., Flötteröd, G. and Nagel, K. (2017). Calibration of behavioural parameters using optimization technique in an agent-based transport simulation. hEART 2017 – 6\textsuperscriptth Symposium of the European Association for Research in Transportation


Agarwal, A., Lämmel, G. and Nagel, K. (2017). Incorporating within link dynamics in an agent-based computationally faster and scalable queue model. Transportmetrica A: Transport Science, 520–541.




Maciejewski, M., Bischoff, J. and Nagel, K. (2016). An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching. IEEE Intelligent Systems, 68–77.


Neumann, A., Kaddoura, I. and Nagel, K. (2016). Mind the gap – Passenger arrival patterns in multi-agent simulations. International Journal of Transportation, 27–40.


Bischoff, J. A. M. M. (2016). Autonomous taxicabs in Berlin – a spatiotemporal analysis of service performance. Transportation Research Procedia, 176–186.


Bischoff, J. and Maciejewski, M. (2016). Simulation of City-wide Replacement of Private Cars with Autonomous Taxis in Berlin. Procedia Computer Science, 237–244.




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

Link zur Publikation

Thunig, T. and Nagel, K. (2016). Braess's paradox in an agent-based transport model. Procedia Computer Science, 946–951.

Link zur Publikation


Uhlemann, E. (2016). Connected-vehicles applications are emerging. IEEE Vehicular Technology Magazine, 25–96.


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