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This study developed a user equilibrium traffic assignment model based on trip-chains with flexible activity scheduling order and derived the corresponding optimality conditions.We based on the gradient projection method to develop a solution algorithm, the accuracy of which was verified using the test network of UTown.This model could be used to estimate the transportation demands with and without activities scheduling restriction between OD (origin-destination) pairs based on trip-chains, as well as based on trips.Thus, the proposed model is more generalization than conventional trip based or trip-chain based traffic assignment models.
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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.
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