Replies: 2 comments 2 replies
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Dear,
Could you be more specific on the alternative you need ? what do you want
to do ?
one_of returns 1 random element, you also have among operator (n among
building) to return several building ...
Cheers
Benoit
Le jeu. 1 août 2024 à 17:37, OSPOKomIT ***@***.***> a écrit :
… Hello everyone,
I am currently trying to build my first model to simulate the movement of
schoolkids. I have data on students per city area and would like to
distribute my agents accordingly. I am building on the Road Traffic model
and am now looking for an alternative to
living_place <- *one_of*(residential_buildings)
Your help would be great
Best
Lukas
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Hey, thanks alot for your replay. I create some students: this will give a student agent a random living place of a random element of residential_buildings, correct? Best Lukas |
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Hi,
n among residential_buildings would rather compute a list of N random
buildings.
If you want to create N students living in building
residential_buildingsXY, you can simply select the building first, and
locate all you N student agents in this building :
residential_buildings residential_buildingsXY <- compute the
residential building in which you have N students;
create students *number: N {*
speed <- rnd(min_speed_low, max_speed_low);
start_school <- rnd(min_school_start, max_school_start);
end_school <- rnd(min_school_end, max_school_end);*
living_place <- residential_buildingsXY ;*
school <- one_of(educational_buildings);
objective <- "study";
location <- any_location_in(living_place);
you can imagine having a data structure associating to each
residential_building the amount of students living in it, and loop over
this dictionary to create the number of agents associated to this building.
Cheers
Benoit
Le jeu. 26 sept. 2024 à 17:27, Lukas Cocinero ***@***.***> a
écrit :
… Hey,
thanks alot for your replay.
I specify:
I create some students:
create students number: nb_students{
speed <- rnd(min_speed_low, max_speed_low);
start_school <- rnd(min_school_start, max_school_start);
end_school <- rnd(min_school_end, max_school_end);
living_place <- one_of(residential_buildings);
school <- one_of(educational_buildings);
objective <- "study";
location <- any_location_in(living_place);
this will give a student agent a random living place of a random element
of residential_buildings, correct?
I want now to steer the number of students living in a certain
residential_buildings because I have a distribution of students living in
different areas. Such as: 60% of students living in area 1 --> distribute
my student agents in a similar manner. So I could say something like: n
students among residential_buildingsXY, correct ?
Best
Lukas
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Hi Benoit, got you. Best Lukas |
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Hello everyone,
I am currently trying to build my first model to simulate the movement of schoolkids. I have data on students per city area and would like to distribute my agents accordingly. I am building on the Road Traffic model and am now looking for an alternative to
living_place <- one_of(residential_buildings)
Your help would be great
Best
Lukas
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