Comparisons of discretionary lane changing behavior: implications for autonomous vehicles

This article presents research on the statistical properties of four parameters that affect a driver’s lane-changing decision, using data from the Next Generation SIMulation database. The results show that there is statistical evidence to indicate that the population averages for each parameter differ based on time of day and that the gap parameters are best described by the log-normal distribution. This implies that autonomous vehicles should be programmed to behave differently at different times of the day.

  • Availability:
  • Authors:
    • Vechione, Matthew
    • Balal, Esmaeil
    • Cheu, Ruey Long
  • Publication Date: 2018-6


  • English

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Filing Info

  • Accession Number: 01673221
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 24 2018 8:20AM