Attributes of distance distributions

1.  On the Base Data menu, click > Distributions > Distance.

The Distance Distributions list opens.

Note: In lists, you can use the  Attribute selection icon to show and hide attribute values (Selecting attributes and subattributes for columns of a list).

Long name Short name Description
Number No Number of distance distribution
Name Name Name of the distance distribution
Lower bound Lower bound Minimum distance from the assigned object is 0.0: no change possible
Upper bound Upper bound Maximum distance from the assigned object, default value 100 m

By default, the Units currently set under Network settings are used (Selecting network settings for units).

Showing and editing dependent objects as relation

The attribute and attribute values of this base data type are shown in the list on the left, which consists of two coupled lists.

1.  In the list on the left, click the desired entry.

2.  On the list toolbar, in the Relations list, click > Data points.

The list on the right contains attributes and attribute values of base data objects allocated to the base data object selected in the list on the left (Using coupled lists):

  • Data points: Individual data point values for distance distribution. Distance distribution is not defined by default. When you define a distance distribution, Vissim by default defines the lower limit = 0.0 m and the upper limit = 100.0 m. You can insert additional data points between these two data points. These data points are then displayed as intermediate points in the curve (Editing the graph of a function or distribution).
  • x: Distance at data point in curve.
  • At data point 1: Minimum distance of selected distance distribution
  • Distance of additional data points, if defined for the curve
  • At last data point: Maximum distance of selected distance distribution
  • FX (f(x)): Probability of distance x at data point
  • At data point 1: 0
  • If additional data points are defined for the curve: Probability of distance x at data point
  • At last data point: 1

Distance distribution is monotonically increasing. This is why each FX value must be greater than or equal to its preceding value.

3.  Enter the desired data.

The data is allocated.

Superordinate topic:

Using distance distributions