AttributesCA

This class contains a default parameter setting for emulating the cellular automaton with the Optimal Steps Model @author hm-mgoedel


Field: stepLengthSD [double]

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Field: dynamicStepLength [boolean]

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Field: pedestrianPotentialModel [java.lang.String]

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Field: maxStepDuration [double]

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Field: movementType [MovementType]

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Field: targetPotentialModel [java.lang.String]

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Field: updateType [UpdateType]

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Field: stepLengthIntercept [double]

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Field: stepCircleResolution [int]

Von-Neumann neighbourhood is realized with stepCircleResolution = 4 and numberOfCircles = 1 One advantage of von-Neumann neighbourhood compared to Moore neighbourhood is that the step size to the next cell is the same for all neighbors with von-Neumann neighbourhood.


Field: optimizationType [OptimizationType]

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Field: varyStepDirection [boolean]

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Field: movementThreshold [double]

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Field: minimumStepLength [boolean]

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Field: submodels [String>]

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Field: minStepLength [double]

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Field: numberOfCircles [int]

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Field: stepLengthSlopeSpeed [double]

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Field: seeSmallWalls [boolean]

If true this avoids agent jumping over small walls. However, this does not fix the problem that the target potential computation fails due to small obstacles. Since this is a quick fix and the test is very expensive the default should be false!


Field: obstaclePotentialModel [java.lang.String]

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