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Erschienen in:

01.05.2008

The principles of calibrating traffic microsimulation models

verfasst von: Yaron Hollander, Ronghui Liu

Erschienen in: Transportation | Ausgabe 3/2008

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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.

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We dedicate a separate discussion to the use of traffic microsimulation for the estimation of other statistics but the mean. See Hollander and Liu 2008

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Titel: The principles of calibrating traffic microsimulation models
verfasst von: Yaron Hollander
Ronghui Liu
Publikationsdatum: 01.05.2008
Verlag: Springer US
Erschienen in: Transportation / Ausgabe 3/2008
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI: https://doi.org/10.1007/s11116-007-9156-2

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