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Signal coordination models for long arterials and grid networks

  • Lihui Zhang
  • , Ziqi Song
  • , Xiaojun Tang
  • , Dianhai Wang
  • Zhejiang University
  • Dalian University of Technology

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

This paper proposes two models to tackle traffic signal coordination problems for long arterials and grid networks. Both models, denoted as MaxBandLA and MaxBandGN, are built based on Little's bandwidth maximization model, and the resulting formulations are both small-sized mixed-integer linear programs. Model MaxBandLA can optimize arterial partition plan and signal coordination plans of all the subsystems simultaneously. Model MaxBandGN directly optimizes the offsets for all the signals in a grid network, and as such, no ’cycle constraints’ need to be constructed. Numerical tests are presented to show that both models have the potential to produce coordination plans that are comparable to signal plans optimized by Synchro.

Original languageEnglish
Pages (from-to)215-230
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
Volume71
DOIs
StatePublished - Oct 1 2016

Keywords

  • Bandwidth maximization
  • Grid network
  • Long arterial
  • Mixed-integer linear program
  • Signal coordination

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