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


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

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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.


Jost, D. and Nagel, K. (2003). Probabilistic Traffic Flow Breakdown In Stochastic Car Following Models. Transportation Research Record, 152–158.


Ziemke, D., Nagel, K. and Bhat, C. (2015). Integrating CEMDAP and MATSim to increase the transferability of transport demand models. Transportation Research Record, 117–125.


Kaddoura, I. and Nagel, K. (2016). Activity-based computation of marginal noise exposure costs: Implications for traffic management. Transportation Research Record


Steinmeyer, I. and Wagner, T. (2005). Using national behavioral data on commercial traffic for local and regional applications. Transportation Research Record. Transportation Research Board of the National Academies.


Marchal, F. and Nagel, K. (2005). Modeling Location Choice of secondary activities with a social network of Cooperative Agents. Transportation Research Record, 141–146.


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


Balmer, M., Axhausen, K. and Nagel, K. (2006). A demand generation framework for large scale micro simulations. Transportation Research Record, 125–134.


Charlton, B. and Laudan, J. (2020). A Web-Based Data Visualization Platform for MATSim. Transportation Research Record

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Charypar, D., Axhausen, K. and Nagel, K. (2007). Event-Driven Queue-Based Traffic Flow Microsimulation. Transportation Research Record, 35–40.


Charypar, D. and Nagel, K. (2006). Q-learning for flexible learning of daily activity plans. Transportation Research Record, 163–169.


Rai, R., Balmer, M., Rieser, M., Vaze, V., Schönfelder, S. and Axhausen, K. (2007). Capturing Human Activity Spaces: New Geometries. Transportation Research Record, 70–80.


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.

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