PyDistributionPlugin.DestinationChoiceModelParams¶
- class DestinationChoiceModelParams¶
DestinationChoiceModelParams: parameters for the Destination Choice Model of the DistributionExperiment.Details
1-mSideTotalsConstr: true/false option whether to fit the values to the Generated/Attracted vectors or not. - 2-mNSideTotalsIterations: maximum number of iterations when applying the Total side constraints. - 3-mMaxRelativeGap: maximum relative changes in the probabilities from the ith iteration to the (i+1)th one. - 4-mConstraintError: upper bound to the maximum error between the trips calculated and the Generation/Attraction vector simulated. Same for all Distribution Models
Synopsis¶
Methods¶
Note
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- __init__()¶
Gets the upper bound to the maximum error between the side totals trip calculated between successive side (G/A) totals iterations.
Gets the upper bound to the maximum relative gap between the side totals trip calculated between successive side (G/A) totals iterations.
Gets the upper bound to the maximum number of iterations of fitting the trips to the input Generation/Attraction vector.
Gets the option to adjust or not the G/A values to the input Generation/Attraction vector.
- setConstraintError(iConstrError)¶
- Parameters:
iConstrError – float
Sets the upper bound to the maximum error between the side totals trip calculated between successive side (G/A) totals iterations.
- setMaxRelativeGap(iRelativeGap)¶
- Parameters:
iRelativeGap – float
Sets the upper bound to the maximum relative gap between the side total trips calculated between successive side (G/A) totals iterations.
- setMaxSideTotalsIterations(iOption)¶
- Parameters:
iOption – int
Sets the upper bound to the maximum number of iterations of fitting of the trips to the input Generation/Attraction vector.
- setSideTotalsConstraint(iOption)¶
- Parameters:
iOption – bool
Sets the option to adjust or not the G/A values to the input Generation/Attraction vector.