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repositioning flights added to the scheduling problem #10

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Merged
caoalbert merged 1 commit into from
Feb 15, 2026
Merged

repositioning flights added to the scheduling problem #10

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20 changes: 17 additions & 3 deletions uam_system_model/Pricing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,7 @@ def optimize(
destination=row["destination_vertiport_id"],
flight_time_matrix=self.flight_time_matrix,
num_pax=row["counts"],
uam_distance_matrix=uam_distance_matrix,
)
)

Expand Down Expand Up @@ -152,9 +153,11 @@ def optimize(

t_i_uam = np.array(t_i_uam)

non_zero_indices = [i for i, value in enumerate(self.di_bar) if value != 0]
non_zero_indices = [i for i, value in enumerate(self.di_bar) if value > 0]
negative_indices = [i for i, value in enumerate(self.di_bar) if value < 0]

di_bar_selected_x = [self.di_bar[i] for i in non_zero_indices]
di_bar_selected_negative = [self.di_bar[i] for i in negative_indices]

if utility_type == "vot":
if isinstance(value_of_time, float):
Expand Down Expand Up @@ -261,7 +264,13 @@ def optimize(
operating_cost = quicksum(
m._x_vars[self.edges[i]] * flight_cost_uam[i_non_zero]
for i_non_zero, i in zip(range(len(di_bar_selected_x)), non_zero_indices)
)
) + quicksum(
m._x_vars[self.edges[i]] * CASM * 4 * di_bar_selected_negative[i_zero]
for i_zero, i in zip(range(len(di_bar_selected_negative)), negative_indices)
) # the second part is repositioning flight cost



if utility_type == "vot":
cost_level_of_service = quicksum(
di_bar_selected_x[i_non_zero]
Expand Down Expand Up @@ -497,13 +506,15 @@ def __init__(
origin,
destination,
flight_time_matrix,
uam_distance_matrix,
num_pax,
):
self.name = name
self.start_time = start_time
self.duration = duration
self.land_time = self.start_time + self.duration
self.flight_time_matrix = flight_time_matrix
self.uam_distance_matrix = uam_distance_matrix
self.origin = origin
self.destination = destination
self.num_pax = num_pax
Expand Down Expand Up @@ -592,6 +603,9 @@ def _create_reassignment_edges(self):
)
)

di_bar.append(0)
repo_distance = self.list_of_tasks[i].uam_distance_matrix[
self.list_of_tasks[i].destination, self.list_of_tasks[j].origin
]
di_bar.append(-1 * repo_distance)

return reassignment_edges, di_bar
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