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In dynamic models, like microsimulation, dynamic traffic assignment is based on the use of traffic conditions measured during the simulation process in order to keep o sort of equilibrium between demand and supply. Route choices are consequently done by knowing the traffic conditions of the day. This paper suggest another model, more realistic, based on an historical drivers knowledge obtained by an iterative process. This new model, splitting drivers in different knowledge categories, allows more relevant ATIS evaluation.
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Stored only when both papers are in the corpus — 3 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.