Transportation

, Volume 35, Issue 3, pp 347–362 | Cite as

The principles of calibrating traffic microsimulation models

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 collective 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.

Keywords

Calibration Microsimulation Traffic models 

Notes

Acknowledgements

The authors are grateful to four anonymous reviewers for their valuable comments.

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Copyright information

© Springer Science+Business Media, LLC. 2007

Authors and Affiliations

  1. 1.Steer Davies GleaveLondonUK
  2. 2.Institute for Transport StudiesUniversity of LeedsLeedsUK

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