An aircraft VR training system includes: training terminals that generates simulation images for performing simulation training in common VR space and provides the simulation images to trainees individually associated with the training terminals; and a setting terminal including setting information necessary for generating the simulation images. The setting terminal transmits the setting information to the training terminals. The training terminals set the setting information received from the setting terminal, and transmit setting completion notification of the setting information to the setting terminal. After the setting terminal receives the completion notification from all the training terminals, the setting terminal causes the training terminals to start simulation training.

A VR training system includes: training terminals that generates simulation images for simulation training in common VR space and provides the simulation images to trainees individually associated with the training terminals; and a tracking sensor that detects motion of the trainees in real space. Each of the training terminals calculates a position and a posture of a self avatar in VR space based on a detection result of the tracking sensor, acquires position information on a position and a posture of another avatar in the VR space from another training terminal, and generates the another avatar in the VR space based on the acquired position information.

A system and method for an electric aircraft coaching simulator is illustrated. The simulator includes a pilot control that is configured to generate a pilot command. The simulator includes a processor that is configured to receive optimized flight data, simulate a battery performance of an electric aircraft as a function of the received pilot command and generate an optimal flight recommendation based off the optimized flight data. The simulation model is configured to communicatively connect with the flight simulator to mimic a real flight situation. Optimized flight data from other pilots can be used to coach pilots how to fly with more energy efficiency.

A system and method for an electric aircraft coaching simulator is illustrated. The simulator includes a pilot control that is configured to generate a pilot command. The simulator includes a processor that is configured to receive optimized flight data, simulate a battery performance of an electric aircraft as a function of the received pilot command and generate an optimal flight recommendation based off the optimized flight data. The simulation model is configured to communicatively connect with the flight simulator to mimic a real flight situation. Optimized flight data from other pilots can be used to coach pilots how to fly with more energy efficiency.