A select link analysis method based on logit–weibit hybrid model

Pengjie Liu, Xiangdong Xu, Anthony Chen, Chao Yang, Longwen Xiao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Select link analysis provides information of where traffic comes from and goes to at selected links. This disaggregate information has wide applications in practice. The state-of-the-art planning software packages often adopt the user equilibrium (UE) model for select link analysis. However, empirical studies have repeatedly revealed that the stochastic user equilibrium model more accurately predicts observed mean and variance of choices than the UE model. This paper proposes an alternative select link analysis method by making use of the recently developed logit–weibit hybrid model, to alleviate the drawbacks of both logit and weibit models while keeping a closed-form route choice probability expression. To enhance the applicability in large-scale networks, Bell’s stochastic loading method originally developed for logit model is adapted to the hybrid model. The features of the proposed method are twofold: (1) unique O–D-specific link flow pattern and more plausible behavioral realism attributed to the hybrid route choice model and (2) applicability in large-scale networks due to the link-based stochastic loading method. An illustrative network example and a case study in a large-scale network are conducted to demonstrate the efficiency and effectiveness of the proposed select link analysis method as well as applications of O–D-specific link flow information. A visualization method is also proposed to enhance the understanding of O–D-specific link flow originally in the form of a matrix.
Original languageEnglish
Pages (from-to)205-217
Number of pages13
JournalJournal of Modern Transportation
Volume25
Issue number4
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Bell loading
  • Hybrid model
  • Logit model
  • Select link analysis
  • Weibit model

ASJC Scopus subject areas

  • Transportation
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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