Evacuation

Collection of Evacuation objects. Next to agent-class specific data (such as trajectories) lots of other data such as FED-data is provided via this class.

ivar times:

List of all time steps of the simulation.

ivar z_offsets:

The offset in z-direction for each mesh where the evac plane lays.

ivar all_agents:

Number of all agents per time step.

ivar agents_inside_mesh:

Number of all agents per time step inside a specific mesh.

ivar number_of_deads:

Number of dead agents per time step.

ivar fed_max:

FED max per time step.

ivar fed_max_alive:

FED max alive per time step.

ivar exit_counters:

Exit counts per time step.

ivar target_exit_counters:

Target exit counts per time step.

ivar door_counters:

Door counts per time step.

ivar target_door_counters:

Target door counts per time step.

Classes:

Evacuation(class_name, quantities, color)

Container to store evac data from evac simulations with FDS.

class fdsreader.evac.evacuation.Evacuation(class_name: str, quantities: List[Quantity], color: Tuple[float, float, float])

Container to store evac data from evac simulations with FDS.

Variables:

• class_name – Name of the evac class defined in the FDS input-file.

• quantities – List of all quantities for which data has been written out.

• color – Color assigned to the evac.

• n_humans – Number of existing evacs for each timestep per mesh.

• lower_bounds – Dictionary with lower bounds for each timestep with quantities as keys.

• upper_bounds – Dictionary with upper bounds for each timestep with quantities as keys.

Attributes:

agent_heights
body_angles
data	Dictionary with quantities as keys and a list with a numpy array for each timestep which contains data for each person in that timestep.
id
positions	List with a numpy array for each timestep which contains the position of each evac in that timestep.
semi_major_axis
semi_minor_axis
tags	List with a numpy array for each timestep which contains a tag for each evac in that timestep.

Methods:

clear_cache()	Remove all data from the internal cache that has been loaded so far to free memory.
filter_by_tag(tag)	Filter all evacs by a single one with the specified tag.
get_data(quantity)	Returns a list with a numpy array for each timestep which contains data about the specified quantity for each person in that timestep.
has_quantity(quantity)

property agent_heights: List[ndarray]

property body_angles: List[ndarray]

clear_cache()

Remove all data from the internal cache that has been loaded so far to free memory.

property data: Dict[str, List[ndarray]]

Dictionary with quantities as keys and a list with a numpy array for each timestep which contains data for each person in that timestep.

filter_by_tag(tag: int)

Filter all evacs by a single one with the specified tag.

get_data(quantity: Quantity | str) → List[ndarray]

Returns a list with a numpy array for each timestep which contains data about the specified quantity for each person in that timestep.

has_quantity(quantity: Quantity | str)

property id

property positions: List[ndarray]

List with a numpy array for each timestep which contains the position of each evac in that timestep.

property semi_major_axis: List[ndarray]

property semi_minor_axis: List[ndarray]

property tags: List[ndarray]

List with a numpy array for each timestep which contains a tag for each evac in that timestep.