`mosstool.trip.generator.random`¶

Module Contents¶

Classes¶

`PositionMode`
`RandomGenerator`	Random trip generator

Data¶

__all__

API¶

mosstool.trip.generator.random.__all__¶: [‘PositionMode’, ‘RandomGenerator’]

class mosstool.trip.generator.random.PositionMode¶

Bases: enum.Enum

AOI¶: 0

LANE¶: 1

class mosstool.trip.generator.random.RandomGenerator(m: pycityproto.city.map.v2.map_pb2.Map, position_modes: list[mosstool.trip.generator.random.PositionMode], trip_mode: pycityproto.city.trip.v2.trip_pb2.TripMode, template_func: collections.abc.Callable[[], pycityproto.city.person.v2.person_pb2.Person] = default_person_template_generator)¶

Random trip generator

Initialization

Args:

m (Map): The Map.
position_modes (list[PositionMode]): The schedules generated will follow the position modes in this list. For example, if the list is [PositionMode.AOI, PositionMode.LANE, PositionMode.AOI], the generated person will start from an AOI, then go to a lane, and finally go to an AOI.
trip_mode (TripMode): The target trip mode.
template_func (Callable[[],Person]): The template function of generated person object, whose schedules, home will be replaced and others will be copied.

_rand_position(candidates: Union[list[pycityproto.city.map.v2.map_pb2.Aoi], list[pycityproto.city.map.v2.map_pb2.Lane]])¶

uniform(num: int, first_departure_time_range: tuple[float, float], schedule_interval_range: tuple[float, float], seed: Optional[int] = None, start_id: Optional[int] = None) → list[pycityproto.city.person.v2.person_pb2.Person]¶

Generate a person object by uniform random sampling