Install in virtual environment via:
python -m venv venv # create venv
. venv/bin/activate # activate venv
pip install -r requirements.txt # install dependencies
Run via command line to return a list with densities for all 13 streets:
$ python main.py --areas 0,1,2,0,0,0,0,0,1,1,1,0 --flooding 0
[70, 269, 147, 130, 268, 150, 86, 53, 55, 312, 117, 242, 118]
When running commands with --plot you will see the resulting graph:
$ python main.py --areas 0,1,2,0,0,0,0,0,1,1,1,0 --flooding 0 --plot
Documentation via:
$ python main.py --help
Usage: main.py [OPTIONS]
Options:
--areas TEXT 12 area states in the form 0,0,2,1,... where
0: unpopulated, 1: populated, 2: public
transport. Order is top left to bottom
right. [required]
--flooding INTEGER 0: no flooding, 1: flooding, 2:
flooding+communication [required]
--plot If true, shows the resulting matplotlib
plot.
--flow_per_commercial_area INTEGER
Flow added to the system by each populated
commercial area
--flow_per_residential_area INTEGER
Flow added to the system by each populated
residential area
--public_transport_factor FLOAT
The flow added by areas with public
transport is multiplied by this factor.
--weight_commercial_unpopulated INTEGER
Target weight for unpopulated commercial
areas
--weight_commercial_populated INTEGER
Target weight for populated commercial areas
--weight_residential_unpopulated INTEGER
Target weight for unpopulated residential
areas
--weight_residential_populated INTEGER
Target weight for populated residential
areas
--flooded_street_density FLOAT The density of flooded streets is multiplied
by this factor.
--flooded_street_avoidance INTEGER
1 is a normal street. The higher this
factor, the more cars try to avoid flooded
roads when communication is enabled.
--help Show this message and exit.