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Thunig, T. and Nagel, K. (2017). The structure of user equilibria: Dynamic coevolutionary simulations vs. cyclically expanded networks [46]. Procedia Computer Science, 648–655.

Link zur Publikation [47]

Ziemke, D., Joubert, J. W. and Nagel, K. (2017). Accessibility in a post-apartheid city: Comparison of two approaches for accessibility computations [48]. Networks and Spatial Economics, 241–271.


Ziemke, D., Metzler, S. and Nagel, K. (2017). Modeling bicycle traffic in an agent-based transport simulation [49]. Procedia Computer Science, 923–928.


Ziemke, D. and Nagel, K. (2017). Development of a fully synthetic and open scenario for agent-based transport simulations – The MATSim Open Berlin Scenario [50].


Zilske, M. and Nagel, K. (2017). Software Architecture for a Transparent and Versatile Traffic Simulation [51]. Agent Based Modelling of Urban Systems. Springer Nature, 73–87.


(2017). Agent Based Modelling of Urban Systems [52]. Springer International Publishing.


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 [53]. ITEA Annual Conference and School on Transportation Economics


Kaddoura, I., Kröger, L. and Nagel, K. (2017). An activity-based and dynamic approach to calculate road traffic noise damages [54]. Transportation Research Part D: Transport and Environment, 335–347.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). User-specific and dynamic internalization of road traffic noise exposures [55]. Networks and Spatial Economics, 153–172.


Nagel, K. (2016 –). Investigating the use of simulated dynamic pricing to optimize transport systems [56].


Nagel, K. (2016 –). Untersuchung der Nutzung simulierter dynamischer Preise zur Optimierung von Verkehrssystemen [57].


Maciejewski, M., Bischoff, J. and Nagel, K. (2016). An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching [58]. IEEE Intelligent Systems, 68–77.


Kaddoura, I. and Nagel, K. (2016). Simultaneous optimization of traffic congestion and noise exposures [59].


Kickhöfer, B., Hosse, D., Turner, K. and Tirachini, A. (2016). Creating an open MATSim scenario from open data: The case of Santiago de Chile [60].


Kickhöfer, B. and Nagel, K. (2016). Towards High-Resolution First-Best Air Pollution Tolls [61]. Networks and Spatial Economics. Springer US, 175–198.


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