Systematic Traffic Peak Period Identification Using Bottom-Up Segmentation and Wavelet Transformation

  • Patrick Connors
  • Sara Respati
  • Anshuman Sharma
  • Ashish BhaskarEmail author


This paper develops a framework to test Bottom-up segmentation and Wavelet transform capability to distinguish on-peak from off-peak periods given the time series of the travel time. The proposed techniques are tested on the times series of travel time obtained from 15 working days of Bluetooth data on Brisbane’s busiest urban corridor. This study shows that the peak period can be systematically determined from either Bottom-up segmentation or WT on the time series of travel times. The Bottom-up segmentation technique estimated a mean peak period over the 15 working days of 106 min, compared to 99 min with Wavelet transformation. Further investigation is warranted should a recommendation be made as to which technique can more reliably estimate peak period.


Peak period Segmentation Bottom-up Wavelet transform Bluetooth data 



The authors would like to thank the Brisbane City Council for providing the Bluetooth data used for this research.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Patrick Connors
    • 1
  • Sara Respati
    • 1
  • Anshuman Sharma
    • 2
  • Ashish Bhaskar
    • 1
    Email author
  1. 1.School of Civil Engineering & Built EnvironmentQueensland University of Technology (QUT)BrisbaneAustralia
  2. 2.School of Civil EngineeringThe University of QueenslandSt. LuciaAustralia

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