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I. Kaddoura and A. Agarwal and B. Kickhöfer (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

José R. Correa and Tobias Harks and Kai Nagel and Britta Peis and Martin Skutella (2016). Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 15412). Dagstuhl Reports. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 19–34.

Kaddoura, I. (2015). Marginal Congestion Cost Pricing in a Multi-Agent Simulation: Investigation of the Greater Berlin Area. Journal of Transport Economics and Policy, 560–578.

Ihab Kaddoura and Joschka Bischoff and Kai Nagel (2020). Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles. Transportation Research Part A: Policy and Practice, 48–63.

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

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

Kaddoura, I. and Nagel, K. (2016). Agent-based congestion pricing and transport routing with heterogeneous values of travel time savings. Procedia Computer Science, 908–913.

Kaddoura, I. and Nagel, K. (2018). Simultaneous internalization of traffic congestion and noise exposure costs. Transportation, 1579–1600.

Kaddoura, I. and Nagel, K. (2019). Congestion pricing in a real-world oriented agent-based simulation context. Research in Transportation Economics, 40–51.

Kickhöfer, B. and Kaddoura, I. and Neumann, A. and Tirachini, A. (2012). Optimal public transport supply in an agent-based model: The influence of departure time choice on operator's profit and social welfare. Kuhmo Nectar Conference on Transportation Economics

Kühnel, N. and Kaddoura, I. and Möckel (2019). Incorporation of noise shielding in an agent-based transport model by using volunteered geographic data. Procedia Computer Science, 808–813.



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