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The results of full-scale testing of the available methods for implementing an iterative travel simulation process are presented. These methods include simple iteration of the simulation model chain, weighting iterative model outputs by the method of successive averages, and the Evans equilibrium algorithm. Simulated travel demands for each version of the model are compared with regional highway performance monitoring system data, 1990 highway traffic counts summarized by screenline, and public transit ridership data. These accuracy checks, in concert with estimates of the computational effort needed to execute each model variation, provide a useful insight into the costs and benefits associated with implementing an iterative travel simulation model. These comparisons also give guidance with respect to the relative efficacy of each iterative approach.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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