The model can be launched by either running model.py or __main__.py. __main__.py runs the Mesa Server. The model configurations can be modified in config1.json with attributes:
height : int
height of the grid
width : int
width of the model
n_persons : int
amount of persons
grid_layout : string
string of the grid txt file
avg_arrival : float/int
average arrival time for the Poisson process
n_steps : int
amount of steps at which the store is closed
speed1 : int
speed1 of the persons
speed2 : int
speed2 of the persons
speed1_prob : float
probability of speed1
speed2_prob : float
probability of speed2
familiar1 : float
familiar1 of the persons
familiar2 : float
familiar2 of the persons
familiar1_prob : float
probability of familiar1
familiar2_prob : float
probability of familiar2
vision1 : float
vision1 of the persons
vision2 : float
vision2 of the persons
vision1_prob : float
probability of vision1
vision2_prob : float
probability of vision2
grid_stepsize : float
size of one block in the grid
n_objectives : int
average amount of items in the objective list
- Mesa (0.8.9)
- NetworkX (2.5)
- NumPy (1.20.1)
- PyYAML (6.0)
- optional for results and sensitivity analysis:
- dill (0.3.4)
- matplotlib (3.3.4)
- pandas (1.2.4)
- regex (2021.4.4)
- SALib (1.4.5)
- setuptools (52.0.0.post20210125)
The project structure is based on the structure from the Mesa example Forest Fire. The Model and Agent classes from Mesa are used to base the model and agents on.