Fig 1.
Schematic diagram of the shared UAV scheduling framework.
Table 1.
UAV airport information.
Table 2.
UAV information.
Table 3.
UAV information.
Table 4.
Real coding change to natural number coding for SLALO.
Table 5.
Mission path of SUCS UAV in shared mode.
Table 6.
The needs of passengers.
Table 7.
UAV information.
Fig 2.
Passenger needs and airport location.
Fig 3.
Minimum result of total time in multi-airport systems based on passenger needs.
Fig 4.
UAV route planning results under soft time window constraints (small-scale case).
Table 8.
UAV airport information.
Table 9.
The needs of passengers.
Fig 5.
Convergence curves of GA, PSO, ALO, and SLALO for the large-scale case (total time minimization).
The vertical axis labeled “Adaptation value” represents the objective function value, i.e., total navigation time (minutes).
Fig 6.
Large scale total time consuming minimum UAV allocation routes incorporating multi-airport issues.
Fig 7.
Convergence curves for total cost minimization under soft time window constraints (large-scale case).
The vertical axis labeled “Adaptation value” represents the objective function value, i.e., total cost (RMB).
Fig 8.
Large-scale total consumption drone allocation routes that include multiairport issues.
Table 10.
The needs of passengers.