Optimization of pedestrian phase patterns at signalized intersections: A multi-objective approach

Wanjing Ma, Yue Liu, K. Larry Head

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

This paper presents a multi-objective optimization model and its solution algorithm for optimization of pedestrian phase patterns, including the exclusive pedestrian phase (EPP) and the conventional two-way crossing (TWC) at an intersection. The proposed model will determine the optimal pedestrian phase pattern and the corresponding signal timings at an intersection to best accommodate both vehicular traffic and pedestrian movements. The proposed model is unique with respect to the following three critical features: (1) proposing an unbiased performance index for comparison of EPP and TWC by explicitly modeling the pedestrian delay under the control of TWC and EPP; (2) developing a multi-objective model to maximize the utilization of the available green time by vehicular traffic and pedestrian under both EPP or TWC; and (3) designing a genetic algorithm based heuristic algorithm to solve the model. Case study and sensitivity analysis results have shown the promising property of the proposed model to assist traffic practitioners, researchers, and authorities in properly selecting pedestrian phase patterns at signalized intersections.

Original languageEnglish (US)
Pages (from-to)1138-1152
Number of pages15
JournalJournal of Advanced Transportation
Volume48
Issue number8
DOIs
StatePublished - Dec 1 2014

Keywords

  • Pareto frontier
  • exclusive pedestrian phase (EPP)
  • multi-objective optimization
  • pedestrian delay

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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