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Thunig, T., Scheffler, R., Strehler, M. and Nagel, K. (to appear). Optimization and simulation of fixed-time traffic signal control in real-world applications. Procedia Computer Science. Elsevier BV.


Thunig, T. and Nagel, K. (to appear). Effects of user adaption on traffic-responsive signal control in agent-based transport simulations. 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)




extensions, M. (accessed 2014). MATSim extensions webpage.

Link zur Publikation

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.





Kaddoura, I. and Nagel, K. (2019). Congestion pricing in a real-world oriented agent-based simulation context. Research in Transportation Economics


Kühnel, N., Kaddoura, I. and Möckel (2019). Incorporation of noise shielding in an agent-based transport model by using volunteered geographic data. Procedia Computer Science


Livingston, C., Beyer Bartana, I., Ziemke, D. and Bahamonde-Birke, F. (2019). The Influence of the Route Environment on the Route Choice of Bicyclists – A Preliminary Study.


Márquez-Fernández, F. J. A. D.-O. A. B. J. A. A. M. (2019). Using Multi-Agent Transport Simulations to assess the impact of EVcharging infrastructure deployment. IEEE Transportation Electrification Conference and Expo (upcoming)




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