Path: blob/main/tests/tools/drt/drtOrtools/time_window2/output.tools
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Simulation parameters:
end: 600.0
interval: 30
time_limit: 10
cost_type: CostType.DISTANCE
drf: 1.5
waiting_time: 900
fix_allocation: False
timestep: 0.0
Reservations waiting: ['0', '1']
Taxis empty: ('v0',)
Solve CPDP
Start creating the model.
dp reservations: ['0', '1']
do reservations: []
Reservation 0 starts at edge B0C0
Reservation 1 starts at edge C0D0
Reservation 0 ends at edge C1D1
Reservation 1 ends at edge D0D1
Reservation 0 has direct route costs 680
Reservation 1 has direct route costs 385
Penalty factor is 2000
Start solving the problem.
Register distance callback.
Create time dimension.
Add distance constraints...
Add pickup and delivery constraints...
pickup/dropoff nodes: 1/2
allow to reject new reservation 0
pickup/dropoff nodes: 3/4
allow to reject new reservation 1
Add direct route factor constraints...
reservation 0: direct route cost 680 and (hard) max cost 1020
reservation 1: direct route cost 385 and (hard) max cost 578
Add dropoff constraints...
Add capacity constraints...
Add time windows constraints...
hard time window for node 1: [1, 600]
hard time window for node 2: [1, 190]
hard time window for node 3: [200, 600]
hard time window for node 4: [1, 600]
hard time window for node 5: [1, 600]
Add waiting time constraints...
reservation 0 has a maximum (hard) pickup time at 190
reservation 1 has a maximum (hard) pickup time at 1100
## Done
Set solution heuristic...
Start solving the problem.
Objective: 2628
Route for vehicle 0:
5 (L: 0, C: 0, T: (1,35))
-> 1 (L: 1, C: 588, T: (43,77))
-> 2 (L: 0, C: 1268, T: (156,190))
-> 3 (L: 1, C: 2243, T: (237,509))
-> 4 (L: 0, C: 2628, T: (328,600))
-> 0 (L: 0, C: 2628, T: (328,600))
Costs of the route: 2628
Total cost of the routes: 2628
Start interpreting the solution for SUMO.
Dispatching v0 with ['0', '0', '1', '1']
Costs for v0: 2628
timestep: 30.0
Reservations being picked up: ['0', '1']
Taxis picking up: ('v0',)
timestep: 60.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 90.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 120.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 150.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 180.0
Reservations being picked up: ['1']
Taxis picking up: ('v0',)
timestep: 210.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 240.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 270.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 300.0
Taxis empty: ('v0',)
timestep: 330.0
Taxis empty: ('v0',)
timestep: 360.0
Taxis empty: ('v0',)
timestep: 390.0
Taxis empty: ('v0',)
timestep: 420.0
Taxis empty: ('v0',)
timestep: 450.0
Taxis empty: ('v0',)
timestep: 480.0
Taxis empty: ('v0',)
timestep: 510.0
Taxis empty: ('v0',)
timestep: 540.0
Taxis empty: ('v0',)
timestep: 570.0
Taxis empty: ('v0',)
timestep: 600.0
Taxis empty: ('v0',)