Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach

Calibration and validation techniques are crucial in assessing the descriptive and predictive power of car-following models and their suitability for analyzing traffic flow. Using real and generated floating-car and trajectory data, the authors systematically investigate following aspects: Data requirements and preparation, conceptional approach including local maximum-likelihood and global LSE calibration with several objective functions, influence of the data sampling rate and measuring errors, the effect of data smoothing on the calibration result, and model performance in terms of fitting quality, robustness, parameter orthogonality, completeness and plausible parameter values.

• Record URL:
  • https://doi.org/10.1016/j.sbspro.2013.05.050
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877042813010197
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Treiber, Martin
  • Kesting, Arne
• Publication Date: 2013-6-7

Language

• English

Media Info

• Media Type: Print
• Features: References;
• Pagination: pp 922-939
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 80
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Calibration; Car following; Floating car data; Least squares method; Maximum likelihood method; Microscopic traffic flow
• Uncontrolled Terms: Robustness
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 01490335
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 20 2013 5:23PM