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Inhalt des Dokuments


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Agarwal, A., Ziemke, D. and Nagel, K. (2017). Calibration of heterogeneous traffic scenario in an agent-based simulation framework. 4\textsuperscriptth Conference of the Transportation Research Group of India (CTRG)

Thunig, T., Kaddoura, I. and Nagel, K. (2017). Braess' paradox and congestion pricing in MATSim.

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

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

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

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. ITEA Annual Conference and School on Transportation Economics

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

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.

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

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

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