Hi,
if you really need different mobility patterns (more shopping and
leisure activities on weekends and more commutes on weekdays) you are
probably out of luck. What we usually do is simple scaling by a constant
factor for weekends and keeping weekdays identically.
Best regards,
Michael
Am 26.09.20 um 06:20 schrieb Moyukh Laha:
Hello everyone,
I have been looking for a dataset of an urban area vehicular
traffic of long duration as well as sufficient time resolution.
I know there are pretty good datasets available such as LuST, MoST,
Cologne, Bologna, etc. But they are of short duration, mostly 24hrs. I
want a more extended time where daily and weekly traffic pattern
repetition (seasonality) is observable. My actual target is to make some
decisions based on this repetitive pattern.
I also know about the PEMS dataset (California Department of
Transportation) of such longer duration data. But mostly, they are just
counts of some metrics (e.g., vehicle count at a fixed point), not of
high resolution—neither SUMO data.
Is there any dataset available where both can be found? I don't need a
large area dataset, just a small area with visible seasonality will do.
Can anyone suggest me what to do?
Thanks.
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