The calibration of trip distribution models
In this paper, model calibration is considered in terms of the evidence supplied by a survey to substantiate the distributional hypothesis implied by the model. By means of Bayes theorem, an evidence test is derived which is applicable to trip-distribution models. The test produces a set of constraint equations to determine optimal values for the model parameters. Section 6 determines the constraint equations necessary to calibrate some commonly used models and indicates how, for comparative purposes, they can be written in a standard format. The final section gives a possible method of computation applicable to the calibration of a variety of models.
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