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Relative Trip Scheduling #8

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Relative Trip Scheduling #8

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35 changes: 28 additions & 7 deletions ext-configs/trip_scheduling.yaml
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Original file line number Diff line number Diff line change
@@ -1,11 +1,32 @@
PROBS_SPEC: trip_scheduling_probs.csv
COEFFICIENTS: trip_scheduling_coefficients.csv

# int to add to probs column index to get time period it represents.
# e.g. depart_alt_base = 5 means first column (column 0) represents 5 am
DEPART_ALT_BASE: 5
# e.g. depart_alt_base = 0 means first column (column 0) represents 0 periods after (same period as) the previous trip
DEPART_ALT_BASE: 0

MAX_ITERATIONS: 100
MAX_ITERATIONS: 5

# FAILFIX: drop_and_cleanup
#FAILFIX: drop_and_cleanup
FAILFIX: choose_most_initial

# --- relative trip scheduling settings
PROBS_SPEC: trip_scheduling_probs.csv

scheduling_mode: relative

probs_join_cols:
- periods_left_min
- periods_left_max
- outbound
- tour_purpose_grouped
- half_tour_stops_remaining_grouped

preprocessor:
SPEC: trip_scheduling_preprocessor
DF: choosers
TABLES:
- tours

logic_version: 2




8 changes: 8 additions & 0 deletions ext-configs/trip_scheduling_preprocessor.csv
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Original file line number Diff line number Diff line change
@@ -0,0 +1,8 @@
Description,Target,Expression
,periods_left,(df.latest - df.earliest)
# binning the periods differently for inbound and outbound
,periods_left_min,"np.where(df['outbound'], periods_left.clip(upper=13), periods_left.clip(upper=17))"
,periods_left_max,"np.where(((periods_left >= 13) & (df['outbound'])) | ((periods_left >= 17) & (~df['outbound'])), 23, periods_left)"
,tour_purpose,"reindex(tours.tour_type, df.tour_id)"
,tour_purpose_grouped,"np.where(tour_purpose.isin(['work','school','univ']), 'mand', 'non_mand')"
,half_tour_stops_remaining_grouped,(df.trip_count - df.trip_num).clip(upper=1)
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