The principles of calibrating traffic microsimulation models

  • Hollander Y
  • Liu R
  • 96

    Readers

    Mendeley users who have this article in their library.
  • 66

    Citations

    Citations of this article.

Abstract

Traffic microsimulation models normally include a large number of parameters that must be calibrated before the model can be used as a tool for prediction. A wave of methodologies for calibrating such models has been recently proposed in the literature, but there have been no attempts to identify general calibration principles based on their col- lective experience. The current paper attempts to guide traffic analysts through the basic requirements of the calibration of microsimulation models. Among the issues discussed here are underlying assumptions of the calibration process, the scope of the calibration problem, formulation and automation, measuring goodness-of-fit, and the need for repeated model runs.

Author-supplied keywords

  • Calibration
  • Microsimulation
  • Traffic models

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Yaron Hollander

  • Ronghui Liu

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free