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TU Berlin

Inhalt des Dokuments

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Moyo Oliveros, M. and Nagel, K. (2016). Automatic calibration of agent-based public transit assignment path choice to count data. Transportation Research Part C, 58–71.


Simoni, M. D. A. K. K. M. A. G. K. M. and Bischoff, J. (2019). Congestion Pricing in a World of Self-driving vehicles: an Analysis of Different Strategies in Alternative Future Scenarios. Transportation Research Part C: Emerging Technologies, 167–185.


Lämmel, G., Grether, D. and Nagel, K. (2010). The representation and implementation of time-dependent inundation in large-scale microscopic evacuation simulations. Transportation Research Part C: Emerging Technologies, 84–98.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). An activity-based and dynamic approach to calculate road traffic noise damages. Transportation Research Part D: Transport and Environment, 335–347.


Kickhöfer, B. and Kern, J. (2015). Pricing local emission exposure of road traffic: An agent-based approach. Transportation Research Part D: Transport and Environment, 14–28.


Ewert, R., Martins-Turner, K., Thaller, C. and Nagel, K. (2021). Using a Route-based and Vehicle Type specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles. Transportation Research Procedia, 517–524.

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Thunig, T., Kühnel, N. and Nagel, K. (2019). Adaptive traffic signal control for real-world scenarios in agent-based transport simulations. Transportation Research Procedia. Elsevier BV, 481–488.

Link zur Publikation

Ziemke, D., Charlton, B., Hörl, S. and Nagel, K. (2021). An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model. Transportation Research Procedia. Elsevier BV, 613–620.


Ziemke, T., Sering, L., Koch, L. V., Zimmer, M., Nagel, K. and Skutella, M. (2021). Flows Over Time as Continuous Limit of Packet-Based Network Simulations. Transportation Research Procedia. Elsevier BV, 123–130.

Link zur Publikation

Moeckel, R. and Nagel, K. (2016). Maintaining Mobility in Substantial Urban Growth Futures. Transportation Research Procedia. Elsevier BV, 70–80.


Bischoff, J. A. M. M. (2014). Agent-based simulation of electric taxicab fleets. Presented at MobilTUM'14, 191–198.


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


Schlenther, T., Martins-Turner, K., Bischoff, J. F. and Nagel, K. (2020). Potential of Private Autonomous Vehicles for Parcel Delivery. Transportation Research Record, 0361198120949878.

Link zur Publikation

Fourie, P., Illenberger, J. and Nagel, K. (2013). Increased Convergence Rates in Multi-agent Transport Simulations with Pseudo-simulation. Transportation Research Record, 68–76.


Grether, D., Kickhöfer, B. and Nagel, K. (2010). Policy evaluation in multi-agent transport simulations. Transportation Research Record. Transportation Research Board of the National Academies, 10–18.


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