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TU Berlin

Inhalt des Dokuments


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Agarwal, A. and Kaddoura, I. (2018). On-road air pollution exposure to cyclists in an agent-based simulation framework. NECTAR Cluster 7 Workshop: Social and Health Issues in Transportation

Salanova, J. M., Maciejewski, M., Bischoff, J., Estrada, M., Tzenos, P. and Stamos, I. (2018). Use of Probe Data Generated by Taxis. Big Data for Regional Science. Routledge, 22–37.

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)

Thunig, T., Kaddoura, I. and Nagel, K. (2017). Braess' paradox and congestion pricing in MATSim.

Ziemke, D., Joubert, J. W. and Nagel, K. (2017). Accessibility in a post-apartheid city: Comparison of two approaches for accessibility computations. Networks and Spatial Economics, 241–271.

Kaddoura, I., Agarwal, A. and Kickhöfer, B. (2017). Simulation-based optimization of congestion, noise and air pollution costs: the impact of transport users' choice dimensions. ITEA Annual Conference and School on Transportation Economics

Ziemke, D., Metzler, S. and Nagel, K. (2017). Modeling bicycle traffic in an agent-based transport simulation. Procedia Computer Science, 923–928.

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