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SONG is a simulator designed for simulating the process of transportation network growth.
The agent based model matches origins and destinations using employment search methods at the individual level.
The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.
Under development.