ProBP¶

In [1]:

import passengersim as pax
pax.versions()

import passengersim as pax pax.versions()

passengersim 0.18.1
passengersim.core 0.18.1

In [2]:

from passengersim.utils.codeview import show_file

from passengersim.utils.codeview import show_file

In [3]:

show_file("network/10-probp.yaml")

show_file("network/10-probp.yaml")

include:
  - 08-untrunc-em.yaml

scenario: 3MKTproBP

db:
  write_items:
    - leg_final
    - fare_final
    - demand_final
    - bookings
    - bucket
    - pathclass
    - leg
    - demand

simulation_controls:
  num_trials: 10
  show_progress_bar: false

rm_systems:
  rm_probp:
    availability_control: bp
    processes:
      DCP:
      - step_type: untruncation
        name: untruncation
        algorithm: em
        kind: path
      - step_type: forecast
        name: path_forecast
        algorithm: additive_pickup
        kind: path
      - step_type: probp
        name: optimization
      - step_type: aggregation  # not needed for algorithm, but gives leg forecast data for output
        name: aggregate

airlines:
  - name: AL1
    rm_system: rm_probp
  - name: AL2
    rm_system: rm_probp

snapshot_filters:
   - type: pro_bp
     title: ProBP Snapshot
     sample: [120, 290, 499]
     dcp: [63, 56, 21]
     flt_no: 111
     airline: AL1
     directory: snapshots/probp

outputs:
  reports:
    - fare_class_mix
    - load_factors
    - bookings_by_timeframe
    - total_demand
    - leg_forecasts
    - path_forecasts
    - [od_fare_class_mix, BOS, ORD]
    - [od_fare_class_mix, BOS, LAX]
    - [od_fare_class_mix, ORD, LAX]
    - demand_to_come
    - carrier_history
    - bid_price_history

In [4]:

cfg = pax.Config.from_yaml([
    "network/10-probp.yaml",
])

cfg = pax.Config.from_yaml([ "network/10-probp.yaml", ])

In [5]:

sim = pax.Simulation(cfg)

sim = pax.Simulation(cfg)

In [6]:

summary = sim.run()

summary = sim.run()

In [7]:

summary.fig_carrier_revenues()

summary.fig_carrier_revenues()

Out[7]:

In [8]:

summary.fig_carrier_load_factors()

summary.fig_carrier_load_factors()

Out[8]:

In [9]:

summary.fig_fare_class_mix()

summary.fig_fare_class_mix()

Out[9]:

In [10]:

summary.fig_bookings_by_timeframe()

summary.fig_bookings_by_timeframe()

Out[10]:

In [11]:

summary.to_xlsx("outputs/3mkt-10.xlsx")

summary.to_xlsx("outputs/3mkt-10.xlsx")

Comparing against Targets¶

In [12]:

import targets

target = targets.load(10, cfg)

import targets target = targets.load(10, cfg)

In [13]:

from passengersim import contrast

comps = contrast.Contrast({
    "simulation": summary,
    "target": target,
})

from passengersim import contrast comps = contrast.Contrast({ "simulation": summary, "target": target, })

In [14]:

comps.fig_demand_to_come("mean") | comps.fig_demand_to_come("std")

comps.fig_demand_to_come("mean") | comps.fig_demand_to_come("std")

Out[14]:

In [15]:

comps.fig_bookings_by_timeframe(by_carrier="AL1")

comps.fig_bookings_by_timeframe(by_carrier="AL1")

Out[15]:

In [16]:

comps.fig_carrier_revenues()

comps.fig_carrier_revenues()

Out[16]:

In [17]:

comps.fig_carrier_load_factors()

comps.fig_carrier_load_factors()

Out[17]:

In [18]:

comps.fig_fare_class_mix()

comps.fig_fare_class_mix()

Out[18]:

In [19]:

comps.fig_bookings_by_timeframe(by_carrier="AL1", by_class=True, source_labels=True)

comps.fig_bookings_by_timeframe(by_carrier="AL1", by_class=True, source_labels=True)

Out[19]:

In [20]:

print(sim.path_names()[1])
comps.fig_path_forecasts(by_path_id=1, of=['mu', 'sigma', 'closed'])

print(sim.path_names()[1]) comps.fig_path_forecasts(by_path_id=1, of=['mu', 'sigma', 'closed'])

Path: BOS ORD (AL1:101 BOS-ORD)

Out[20]:

In [21]:

print(sim.path_names()[5])
comps.fig_path_forecasts(by_path_id=5, of=['mu', 'sigma', 'closed'])

print(sim.path_names()[5]) comps.fig_path_forecasts(by_path_id=5, of=['mu', 'sigma', 'closed'])

Path: ORD LAX (AL1:111 ORD-LAX)

Out[21]:

In [22]:

print(sim.path_names()[9])
comps.fig_path_forecasts(by_path_id=9, of=['mu', 'sigma', 'closed'])

print(sim.path_names()[9]) comps.fig_path_forecasts(by_path_id=9, of=['mu', 'sigma', 'closed'])

Path: BOS LAX (AL1:101 BOS-ORD, AL1:111 ORD-LAX)

Out[22]:

In [23]:

comps.fig_bid_price_history(by_carrier="AL1", cap="some")

comps.fig_bid_price_history(by_carrier="AL1", cap="some")

Out[23]:

In [24]:

comps.fig_bid_price_history(by_carrier="AL1", cap="some", show_stdev=1)

comps.fig_bid_price_history(by_carrier="AL1", cap="some", show_stdev=1)

Out[24]:

In [25]:

from passengersim.extra.forecast_viz import fig_forecasts_and_bid_prices

from passengersim.extra.forecast_viz import fig_forecasts_and_bid_prices

In [26]:

fig_forecasts_and_bid_prices(
    sim,
    trial = 0,
    rrd = 63,
    flt_no = 111,
)

fig_forecasts_and_bid_prices( sim, trial = 0, rrd = 63, flt_no = 111, )

Out[26]:

fig_forecasts_and_bid_prices( sim, trial = 0, rrd = 63, flt_no = 101, )