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In this paper, a shortest paths algorithm to find the paths in a time-dependent network is implemented and tested both on test and real networks.In the application on the real network, the data (obtained with real-time observations) are integrated with forecast data (to define the costs on non-observed network elements) obtained from a dynamic traffic simulation.The real case application is performed in emergency conditions; the aim is to optimize emergency vehicle routes (defined as a path succession) to reduce intervention times.
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Stored only when both papers are in the corpus — 15 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.