Coordination of semi-actuated signals on arterials

Lihui Zhang, Yingyan Lou

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

This paper formulates an integrated mixed-integer nonlinear programming model for coordinating semi-actuated signals on arterials, with the vehicle actuation logic explicitly modeled and embedded. The decision variables are the common cycle length; offset points; phase sequences; green splits of the major phases; minimum green, unit green extension and maximum green of the minor phases which are optimized simultaneously. Two algorithms are employed to search for the optimal signal plans: one is the traditional genetic algorithm (GA), and the other is a GA-based heuristic to save computation effort in earlier search stages. Numerical example is carried out to demonstrate the proposed model and algorithms.

Original languageEnglish (US)
Pages (from-to)228-246
Number of pages19
JournalJournal of Advanced Transportation
Volume49
Issue number2
DOIs
StatePublished - Mar 1 2015

Keywords

  • coordination
  • genetic algorithm
  • mixed-integer nonlinear problem
  • semi-actuated signals

ASJC Scopus subject areas

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

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