Longitudinal driving behavior: theory and empirics

A lot of effort is put in inventing smart methods for reducing congestion. Whether these measures lead to the desired effect appears to be largely dependent on the driving behavior of individual road users. To increase the insights into the behavior of drivers and to improve mathematical models describing this behavior we analyze in this thesis how drivers react to vehicles in front, i.e. we analyze how drivers react to changes in the dynamics of vehicles in front, which distance they want to keep and so on. To get a complete view of this so-called longitudinal driving behavior we use image sequences collected using a digital camera attached to a helicopter. We use these images to derive the dynamics (like positions and speeds) of all drivers driving at the observed roadway stretch. The resulting trajectory data are input to an automated calibration procedure with the aim to calibrate a broad range of mathematical models making different assumptions about human driving behavior. These calibrations are performed for all observed drivers separately. The properties of the applied calibration procedure are studied in this thesis.

  • Supplemental Notes:
    • Doctoral thesis submitted to the Trail Research School
  • Authors:
    • Ossen, S J
  • Publication Date: 2008-9


  • English

Media Info

  • Pagination: 255p
  • Serial:
    • Issue Number: T2008/8

Subject/Index Terms

Filing Info

  • Accession Number: 01385799
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Aug 22 2012 7:15PM