Attributes of location distributions
1. On the Base Data menu, click > Distributions > Location.
The Location Distributions list opens.
|
Note: In lists, you can use the |
| Long name | Short name | Description |
|---|---|---|
| Number | No | Number of location distribution |
| Name | Name | Name of the location distribution |
| Lower bound | Lower bound |
Fixed value 0.00: maximum distance front |
| Upper bound | Upper bound | Fixed value 0.00: maximum distance rear |
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 of location distribution. Except for the predefined location distribution Equally distributed, predefined distributions, by default, contain several defined data points in order to steer boarding and alighting passengers towards the front or rear of the PT vehicle. You can insert additional data points between these data points. These data points are then displayed as intermediate points in the curve (Editing the graph of a function or distribution).
- X:Focal point of boarding and alighting passengers at data point in the curve (value range 0.00 to 1.00)
- At data point 1: for passengers boarding and alighting at the very front of the PT vehicle
- Values of additional data points, if defined for this curve
- At the last data point: for passengers boarding and alighting at the very end of the PT vehicle
- FX (f(x)): Probability of passengers boarding and alighting x at data point
- At data point 1: 0
- If additional data points are defined for the curve: Probability of passengers boarding and alighting x at data point
- At last data point: 1
Location 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 location distributions for boarding and alighting passengers in PT
