In this paper, an innovative agent-based marginal congestion cost-pricing approach was applied successfully to the real-world case study of Greater Berlin. To the best of the author's knowledge, the general principles of marginal congestion cost pricing have never been applied to a real-world city model on such a sophisticated level of detail. Link-specific marginal delay costs are computed for each simulated time step at a microscopic, truly agent-based level. The simulation experiments indicate a great potential to reduce congestion by means of intelligent pricing and reconsiderations of route choice decisions.
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