realtwin.func_lib.cali_sumo

realtwin.func_lib.cali_sumo(*, sel_algo: dict = None, input_config: dict = None, verbose: bool = True, **kwargs) → bool[source]

Run SUMO calibration based on the selected algorithm and input configuration.

Parameters:

  • sel_algo (dict) – the dictionary of selected algorithm for turn_inflow and behavior. Defaults to None.

  • input_config (dict) – the dictionary contain configurations from input yaml file. Defaults to None.

  • verbose (bool) – print out processing message. Defaults to True.

Raises:

  • ValueError – if algo_config is not a dict with two levels with keys of ‘ga’, ‘sa’, and ‘ts’

  • ValueError – if sel_algo is not a dict with keys of ‘turn_inflow’ and ‘behavior’

Returns:

True if calibration is successful, False otherwise.

Return type:

bool