The Principles of Calibrating Traffic Microsimulation Models

Many parameters must be calibrated before traffic microsimulation models can be used as a tool for prediction. Although several methodologies for calibrating such models have been recently proposed, there have been no attempts to identify general calibration principles based on their collective experience. This paper reviews various calibration methodologies and attempts to guide traffic analysts through the basic requirements of the calibration of microsimulation models. Among the issues discussed are underlying assumptions of the calibration process, the scope of the calibration problem, formulation and automation, and measuring goodness-of-fit. The authors find that many calibration methodologies are not rigorousness enough in terms of the number of repetitions of the model used in the calibration procedure. Findings also indicate that although modelers tend to use different types of statistical tools for calibration and validation, these tools can actually be effectively used for both calibration and validation.

• Record URL:
  • https://doi.org/10.1007/s11116-007-9156-2
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00494488
• Authors:
  • Hollander, Yaron
  • Liu, Ronghui
• Publication Date: 2008-5

Language

• English

Media Info

• Media Type: Print
• Features: References; Tables;
• Pagination: pp 347-362
• Serial:
  • Transportation
  • Volume: 35
  • Issue Number: 3
  • Publisher: Springer
  • ISSN: 0049-4488
  • EISSN: 1572-9435
  • Serial URL: http://link.springer.com/journal/11116

Subject/Index Terms

• TRT Terms: Calibration; Goodness of fit; Methodology; Microsimulation; Statistical analysis; Traffic models; Validation
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 01103718
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jun 30 2008 8:26AM