Unfortunately, we can't solve transportation problems by focusing on transportation systems alone. Rather, we must consider the combined effects with other metropolitan systems. Artificial systems, based on artificial societies and agent-modeling technology, are effective tools for this purpose. Metropolitan transportation, logistics, and ecosystems are intrinsically open, dynamic, unpredictable, and complex in their behaviors and effects. We must adopt a management and control strategy for those systems based on continuous investigation and improvement and should use computational experiments with artificial systems to overcome the difficulty of experimenting with real systems.