## 5 Immersive Simulation Platform Application Case
### Application Case of Simulation Platform Based on Unity  
To verify the practical application of the designed immersive simulation platform for carrier aircraft scheduling, this paper selects typical operational scenarios for simulation demonstration. The case study encompasses three stages: carrier aircraft initialization, take-off and scheduling, and dispatching and support operations post-landing. This structure highlights the platform's modeling, simulation, and interaction capabilities in complex scenarios. The deck modeling utilizes the public Ford aircraft carrier, and the scheduling planning is carried out using an improved genetic algorithm.  
In the simulation scenario, carrier aircraft are initialized on the carrier deck according to the predefined layout, as shown in Figure 9. The aircraft arrangement scheme fully considers the spatial layout of the ship's deck, the traction path, and other supporting equipment. Through the dynamic visualization function of the platform, the initial position of the carrier aircraft can be adjusted in real-time, allowing for the observation of its impact on the subsequent scheduling process.  
The carrier aircraft performs taxiing, queuing, and takeoff operations sequentially in accordance with the task requirements, as shown in Figure 10. The different color curves represent the path curves of the corresponding aircraft dispatch planning. The dashed line  
Figure 8: Gantt chart results of scheduling jobs based on GA. (**a**) Gantt chart for operation scheduling of 15 sorties; (**b**) Gantt chart for landing recovery operation scheduling of 15 sorties.  
Figure 9: Schematic diagram of the carrier aircraft initialization layout.  
indicates the planned path of the carrier aircraft. Based on the scheduled Gantt chart in Figure 8a, the aircraft follows the planned trajectory to the designated takeoff position, as determined by the dynamic model, in preparation for takeoff. The optimal scheduling path for each carrier aircraft is calculated in real time through the behavior simulation module, thereby preventing path conflicts and scheduling bottlenecks. Simultaneously, the communication simulation module receives and provides real-time feedback on the status information of the carrier aircraft, such as position, taxiing speed, and takeoff progress, ensuring the efficiency and safety of the entire takeoff process.  
As shown in Gantt chart in Figure 8b, after the carrier aircraft completes its mission and returns to the mother ship, the successfully landed aircraft must be towed to the designated support position by the tractor. The entire process, including landing, taxiing, and towing to the support position, is simulated, as depicted in Figure 11. In this figure, the green trajectory represents the planned path of the previous aircraft that has just been towed to the support position, while the red trajectory illustrates the motion planning path of the carrier aircraft being towed by the tractor following the current landing sequence.  
Through the simulation case, it can be seen that the simulation platform constructed in this paper can effectively simulate the whole process of carrier aircraft job scheduling, which is specifically shown as follows.  
(1) Intuitive visualization effect: real-time display of the whole process simulation of carrier aircraft from takeoff to support is realized, which is convenient for users to observe and adjust the scheduling scheme;  
(2) Strong flexibility: it supports dynamic configuration of various initial deployment schemes and task scenarios, and has good adaptability and scalability.