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Inhalt des Dokuments


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Agarwal, A., Lämmel, G. and Nagel, K. (2016). Modelling of Backward Travelling Holes in Mixed Traffic Conditions. Traffic and Granular Flow '15. Springer International Publishing, 419–426.

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.

Ziemke, D., Nagel, K. and Moeckel, R. (2016). Towards an Agent-based, Integrated Land-use Transport Modeling System. Procedia Computer Science, 958–963.

Zilske, M. and Joubert, J. W. (2016). Freight Traffic. The Multi-Agent Transport Simulation MATSim. Ubiquity Press, 155–156.

Bischoff, J., Maciejewski, M. and Sohr, A. (2015). Analysis of Berlin's taxi services by exploring GPS traces. Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on, 209–215.

Link zur Publikation

Neumann, A., Röder, D. and Joubert, J. W. (2015). Towards a simulation of minibuses in South Africa. Journal of Transport and Land Use, 137–154.

Kickhöfer, B. and Agarwal, A. (2015). Is marginal emission cost pricing enough to comply with the EU CO2 reduction targets?. hEART 2015 – 4th Symposium of the European Association for Research in Transportation

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