Headway calculation

You can define the headway of a line in three different ways (User Manual: Headway-based assignment: Basis tab).

  • from a (usually user-defined) time profile attribute
  • from the mean headway according to the timetable
  • from the mean wait time according to the timetable (default setting)

Each of the three methods can be applied separately by time interval. That way you can model that the transport supply varies within the assignment period – for example, because of the higher demand during morning peak hours.

From time profile attribute

In the simplest case, directly enter the headway as an attribute of the respective time profile. The specification of a timetable is then dispensable. An existing timetable is ignored.

From mean headway according to timetable

Visum can also automatically calculate the headway from the timetable of the time profile. For that purpose, the number of departures n is determined for each time interval = [a,b) within the assignment time period. The headway results as the quotient.

In the case of networks with short headways and sufficiently broad time intervals, this simplified approximation is acceptable. Generally speaking, however, this approach is problematic for two reasons.

On the one hand, the definition is too sensitive to shiftings of individual departures across the interval limits. This will cause discontinuities in the result. This problem always occurs if the real headway of a PT line is no divisor of the length of the demand time interval. For a line with a 40-minute headway, for example, and the time interval l = [06:00 a.m., 07:00 a.m.), different headways are calculated for the particular departure times (Table 176).

Table 176: Example for headway calculation from mean headway according to timetable

Departure times

Trips in the time interval

Calculated headway

05:55 a.m., 06:35 a.m., 07:15 a.m., ...

1

60 minutes

6:05 AM a.m., 6:45 AM a.m., 7:25 AM a.m., ...

2

30 minutes

On the other hand, this approach cannot reflect the following fact: For the passenger who arrives at random, trips spread evenly throughout the time interval generally mean less wait time than trips that are piled up. The following third definition, therefore, is used as default setting for the headway-based procedure.

From mean wait time according to timetable

The headway τa,b of a line is defined as double the expected wait time for the next departure of the line in the case of random access in the time interval [a,b).

Fl = {x1, x2, ..., xn} is the set of departure times of the line in interval = [a,b). The first departure after time b is indicated as x‘. Since such a departure does not have to exist or can occur later, the fictitious departure x‘‘ = x1 + (b-a), which results from the cyclical continuation of the timetable in l, is also considered. For the calculation of the wait time at the end of l the departure xn+1 = min{x‘,x‘‘} is used.

The headway is then defined as follows.

Here applies: , and to the remaining i ∈ {1, ..., n-1}. ∆Ii is in each case the expected wait time in a sub-interval.

If you now look again at the example with the 40-minute headway and the interval = [06:00,07:00), you get a much more balanced picture.

Table 177: Example for headway calculation from mean wait time according to timetable

Departure times

Trips in the time interval

Calculated headway

05:55 a.m., 06:35 a.m., 07:15 a.m.

1

43’ 20’’

6:05 a.m., 6:45 a.m., 7:25 a.m., ...

2

43’ 20’’

Using the example in the first row, the calculation can be briefly explained as follows.

In this case n = 1, x1 = 06:35 and x2 = 07:15 apply.

Therefore follows

and

Overall this results in minutes.

Compared to the case of the naive approach , this example shows that the calculated values vary far less when shifting the specific departure times.