A STOCHASTIC FLOW-DEPENDENT MODEL FOR PATH FLOW ESTIMATION

DOI
  • Cheng Lin
    student member of JSCE, Department of Civil Engineering, School of Engineering, Kyoto University
  • Iida Yasunori
    Fellow of JSCE, Ph. D., Professor, Department of Civil Engineering, Kyoto University
  • Uno Nobuhiro
    Regular Member of JSCE, Ph. D., Associate Professor, Department of Civil Engineering, Kyoto University

Bibliographic Information

Other Title
  • 経路交通量推定のための確率的フローディペンデントモデル

Abstract

This study proposes an improved stochastic PFE (Path Flow Estimator) that considers explicitly traffic congestion on the network. Basically, the PFE model can estimate both the path and the OD flows from the observed link flows. The link travel cost is assumed to consist of the flow-dependent running time and the overload delay. Due to the strong influence of the observed link flow constraint, the distribution of estimated path flows is determined more by the observed link flow than by the logit-type assignment principle adopted in the PFE. This characteristic of the stochastic PFE model has been confirmed through two cases of numerical examples. And then a modified iterative balancing procedure is set out the equivalent convex programming problem.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282679612868736
  • NII Article ID
    130004039101
  • DOI
    10.2208/journalip.18.573
  • ISSN
    18848303
    09134034
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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