"2. period denotes the time period that was aggregated. *By default it's
the whole simulation time* but you can change it with attribute 'freq'"

In your case, the aggregation period is 3600. It's always the same for all
edges.

Am Di., 21. Dez. 2021 um 18:41 Uhr schrieb Royal Bhandari <
[email protected]>:

> Thanks for the reply. However, I am still confused with the period
> attribute.
>
> In my case, (start time=0 sec, end time = 3600 sec), and I haven't
> specified any intervals. What would be the value of the period? And will be
> the value of period be the same or different for various edges of the same
> network?
>
>
>
>
> On Tue, Dec 21, 2021 at 1:56 AM Jakob Erdmann <[email protected]>
> wrote:
>
>> 1. at any given moment there is a total number of vehicles on an edge and
>> this number varies over time. edgeData is a time-aggregate so you only get
>> the average number of vehicles on the edge per second (computed as
>> sampledSeconds / period).
>> 2. period denotes the time period that was aggregated. By default it's
>> the whole simulation time but you can change it with attribute 'freq'
>> 3. based on edgeData alone you cannot get an unbiased aggregate since
>> vehicles may briefly occupy two edges at the same time and are thus counted
>> twice when summing edgeData. You can eithe accept this bias or do you own
>> aggregation based on unaggregated data (i.e. fcd-output).
>>
>> Am Di., 21. Dez. 2021 um 00:51 Uhr schrieb Royal Bhandari <
>> [email protected]>:
>>
>>> Hello,
>>>
>>> I have several questions regarding edge-based traffic measures:
>>>
>>>    - What is the difference between the total number of vehicles on an
>>>    edge and the average number of vehicles on an edge? (is av num of vehicle
>>>    in an edge = num of vehicles in a particular edge/no of edges,
>>>    irrespective of the length of each particular edge?)
>>>    - What is the value of the period in the attached figure if I simply
>>>    have a single simulation with begin time = 0 and end time = 3600?
>>>    - It is mentioned that "Spatial aggregation (over multiple edges or
>>>    lanes) is not as easy". However, the process of doing this is not given.
>>>    Please direct me to this.
>>>
>>>
>>>
>>>
>>>
>>> [image: image.png]
>>>
>>>
>>>
>>>
>>>
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