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Inhalt des Dokuments


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Agarwal, A., Lämmel, G. and Nagel, K. (2016). Liste: Jahr. Modelling of Backward Travelling Holes in Mixed Traffic Conditions. Springer International Publishing, 419–426.

Agarwal, A. and Kickhöfer, B. (2016). The correlation of externalities in marginal cost pricing: lessons learned from a real-world case study. Transportation, 849–873.

Agarwal, A. and Lämmel, G. (2016). Modeling seepage behavior of smaller vehicles in mixed traffic conditions using an agent based simulation. Transp. in Dev. Econ., 1–12.

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.

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