traffic_kpi¶

coefficients_tape¶

class CoefficientDefinition(coefficient_name: str, share_name: str, load_capacity: str | None = None, effective_load_factor: str | None = None)¶

Bases: object

coefficient_name: str¶

effective_load_factor: str | None = None¶

load_capacity: str | None = None¶

share_name: str¶

class CoefficientsTape¶

Bases: CsvTape

add_coefficient(category: str, kpi: str, *coeffiencent_names)¶

coefficient_names: Dict[Tuple[str, str], List[Tuple[str, ...]]]¶

coefficients: Dict¶

get_data(key: Tuple[str, str]) → List[ndarray]¶

initialize(csv: DataFrame, time_column: str = 'seconds')¶

entities¶

class TransportSegments(name: str | None = None, optional: bool | None = None, exclude: Iterable[str] | None = None, override_exclude: Iterable[str] | None = None)¶

Bases: EntityGroup

cargo_flow¶

co2_emission¶

energy_consumption¶

length¶

nox_emission¶

passenger_flow¶

model¶

class Model(model_config: dict)¶

Bases: TrackedModel

Implementation of the traffic KPI model. Reads a csv with coefficients. Calculates segment CO2, NOx and energy consumption.

Asgarpour, S., Konstantinos, K., Hartmann, A., and Neef, R. (2021). Modeling interdependent infrastructures under future scenarios. Work in Progress.

add_road_coefficients()¶

add_tracks_coefficients()¶

add_waterway_coefficients()¶

build_state(state: TrackedState, dataset_name, schema: AttributeSchema)¶

co2_attr: UniformAttribute¶

ec_attr: UniformAttribute¶

initialize(state: TrackedState)¶

initialize_coefficients(data_handler: InitDataHandler, name: str)¶

modality: Literal['roads', 'tracks', 'waterways']¶

next_time() → Moment | None¶

nox_attr: UniformAttribute¶

reset_values()¶

scenario_parameters_tape: CsvTape | None = None¶

segments: TransportSegments | None¶

set_scenario_parameters(config, config_key: str)¶

setup(state: TrackedState, init_data_handler: InitDataHandler, schema: AttributeSchema, **_)¶

update(state: TrackedState, moment: Moment) → Moment | None¶

convert_v1_v2(config)¶