A novel approach for systematically calibrating transport planning model systems

Ali Najmi (), Taha H. Rashidi () and Eric J. Miller ()
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Ali Najmi: The University of New South Wales
Taha H. Rashidi: The University of New South Wales
Eric J. Miller: University of Toronto

Transportation, 2019, vol. 46, issue 5, No 15, 1915-1950

Abstract: Abstract Calibration of a transport planning model system is a complex process. While trial-and-error methods and modelling expertise are still the backbone of calibration of transport models, analytical approaches automating the calibration process can improve the accuracy of the models. Introducing a model to guide modellers in the calibration process of large-scale transport planning model systems is the core of this study, where a systematic model for choosing the most appropriate models and parameters is discussed. The effectiveness of the proposed model is investigated by comparing three scenarios which are built on the Travel/Activity Scheduler for Household Agents model as a large-scale agent-based model system.

Keywords: Model calibration; Model validation; Taguchi; Robustness; Parameters adjustment (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11116-018-9911-6

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