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Inhalt des Dokuments


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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.

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.

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

Link zur Publikation

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.

Rieser, M., Grether, D. and Nagel, K. (2009). Adding mode choice to a multi-agent transport simulation. Transportation Research Record, 50–58.

Rieser, M., Nagel, K., Beuck, U., Balmer, M. and Rümenapp, J. (2007). Truly agent-oriented coupling of an activity-based demand generation with a multi-agent traffic simulation. Transportation Research Record, 10–17.

Ferrari, P. and Nagel, K. (2005). Robustness of efficient passenger boarding in airplanes. Transportation Research Record, 44–54.

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.

Link zur Publikation

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.

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