An open traffic light control model for reducing vehicles' CO 2 emissions based on ETC vehicles

Chunxiao Li*, Shigeru Shimamoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

76 Citations (Scopus)


Usually, vehicles' stop-and-go driving will consume more fuel and emit more CO 2 than constant speed driving. To reduce vehicles' CO 2 emissions, vehicles' travel should be smoothed by reducing the stop-and-go times. In this paper, a three-tier structure is proposed to realize dynamic traffic light control for smoothing vehicles' travel. In tier-1, an electronic toll collection (ETC) system is employed for collecting road traffic flow data and calculating the recommended speed. In tier-2, radio antennas are installed near the traffic lights. Road traffic flow information can be obtained by wireless communication between the antennas and ETC devices. In tier-3, a branch-and-bound-based real-time traffic light control algorithm is designed to smooth vehicles' travels. After smoothing vehicles' travels, more vehicles can pass intersections with less waiting time and fewer short-time stops; therefore, the vehicles' CO 2 emissions can be reduced. Simulation results indicate that the proposed scheme performs much better than the adaptive fuzzy traffic light control method: The average waiting time, short-time stop times, and CO 2 emissions are greatly reduced, and the nonstop passing rate is greatly improved.

Original languageEnglish
Article number6022811
Pages (from-to)97-110
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Issue number1
Publication statusPublished - 2012 Jan


  • Branch and bound (BB)
  • CO emission
  • electronic toll collection (ETC)
  • real-time traffic light control
  • speed control
  • three-tier open model

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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