Convergence behavior for traffic assignment characterization metrics

Traffic assignment is used for infrastructure planning, based on metrics like total system travel time (TSTT), vehicle-miles traveled (VMT) and link or path flows. Algorithms for traffic assignment converge to an equilibrium solution over multiple iterations, but these metrics converge at different rates. Current guidance indicates that freeway link flows stabilize at a relative gap of roughly 10-⁴. This study generalizes this guidance by testing additional networks and metrics, in more experimental settings. The authors' results reveal that aggregate metrics (VMT and TSTT) stabilize earlier (relative gap 10-⁴) than link flows (relative gap 10-⁵), which in turn stabilize slightly before the set of most likely used paths and flows on these paths (relative gap 10-⁶). These results are stable across the TAPAS and Algorithm B methods for solving assignment. The authors' results also show strong linear correlations between alternative gap measures, allowing for the translation of stabilization results across other gap definitions as well.

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    • © 2020 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
  • Authors:
    • Patil, Priyadarshan N
    • Ross, Katherine C
    • Boyles, Stephen D
  • Publication Date: 2020-8-29

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  • English

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  • Accession Number: 01833260
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 21 2022 11:43AM