A new multiobjective signal optimization for oversaturated networks

Ponlathep Lertworawanich, Masao Kuwahara, Marc Miska

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)


This paper presents a new methodology for optimizing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming technique with multiple objectives. The proposed model accounts for intersection spillovers, equity in delays, and system throughputs. This new formulation is solved by genetic algorithms to obtain signal timing plans. A case study with a nine-intersection network and a comparison between the proposed model and the throughput-maximizing strategy are examined. It is found that the new method can efficiently minimize spillovers, balance delay equity, and provide reasonable system throughputs in their respective order for oversaturated networks. The result also indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.

Original languageEnglish
Article number5744121
Pages (from-to)967-976
Number of pages10
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number4
Publication statusPublished - 2011 Dec


  • Traffic signal optimization
  • traffic signals

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


Dive into the research topics of 'A new multiobjective signal optimization for oversaturated networks'. Together they form a unique fingerprint.

Cite this