A method of training a trainee includes a sensor configured to measure at least one biological indicator of stress in the trainee. The method includes presenting a training segment in the simulation while monitoring inputs from the trainee. Data is read from the sensor and an instantaneous stress level of the trainee is calculated from the data. If the instantaneous stress level greater than a predetermined value, a stress-change feature is selected that will reduce stress and applying the stress-change feature to the training segment, thereby reducing complexity of the training segment for reducing the instantaneous stress of the trainee. for example, the stress-change feature is changing the weather, adding/removing bad drivers, adding/removing pedestrians, etc.

In accordance with an exemplary embodiment, a method is provided for training a trainee using an autonomous vehicle, the method including: measuring, via one or more sensors, one or more manual inputs from the trainee with respect to controlling the autonomous vehicle; determining, via a processor using an autonomous driving algorithm stored in a memory of the autonomous vehicle, one or more recommended actions for the autonomous vehicle; comparing, via the processor, the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle, generating a comparison; and determining, via the processor, a score for the trainee based on the comparison between the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle.

In accordance with an exemplary embodiment, a method is provided for training a trainee using an autonomous vehicle, the method including: measuring, via one or more sensors, one or more manual inputs from the trainee with respect to controlling the autonomous vehicle; determining, via a processor using an autonomous driving algorithm stored in a memory of the autonomous vehicle, one or more recommended actions for the autonomous vehicle; comparing, via the processor, the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle, generating a comparison; and determining, via the processor, a score for the trainee based on the comparison between the one or more manual inputs from the trainee with the one or more recommended actions for the autonomous vehicle.

A driving simulation system includes a simulated driver cockpit which includes simulated controls, a display control input, and a video display providing a simulated driving environment to the driver. The system further includes a computerized simulation control module including programming to operate a driving simulation. The driving simulation includes driving rules. The module further including programming to monitor performance of the driver during the driving simulation and compare the performance of the driver to the driving rules. The module further includes programming to generate an untextualized feedback regarding performance of the driver relative to the driving rules, monitor an input by the driver to the display control input, and selectively display the untextualized feedback to the driver based upon the input by the driver to the display control input. The selective display is operable to enable private viewing of the untextualized feedback by the driver.

A driving simulation system includes a simulated driver cockpit which includes simulated controls, a display control input, and a video display providing a simulated driving environment to the driver. The system further includes a computerized simulation control module including programming to operate a driving simulation. The driving simulation includes driving rules. The module further including programming to monitor performance of the driver during the driving simulation and compare the performance of the driver to the driving rules. The module further includes programming to generate an untextualized feedback regarding performance of the driver relative to the driving rules, monitor an input by the driver to the display control input, and selectively display the untextualized feedback to the driver based upon the input by the driver to the display control input. The selective display is operable to enable private viewing of the untextualized feedback by the driver.

In an embodiment of the present invention, a method for generating a prediction of ability of a subject to perform a task in a future time step includes receiving performance data corresponding to a performance of the subject on the task; receiving a plurality of biometric inputs computed based on physiological data during the performance of the subject on the task; identifying a numerical relationship between the performance data and the plurality of biometric inputs; generating a modulation parameter for each of the plurality of biometric inputs based on the identified numerical relationship; loading a plurality of state variable inputs produced by a generic model of performance; and generate the prediction of ability to perform the task at the prediction time, generated by a trained performance predictor based on biometric inputs predicted based on the modulation parameters.

In an embodiment of the present invention, a method for generating a prediction of ability of a subject to perform a task in a future time step includes receiving performance data corresponding to a performance of the subject on the task; receiving a plurality of biometric inputs computed based on physiological data during the performance of the subject on the task; identifying a numerical relationship between the performance data and the plurality of biometric inputs; generating a modulation parameter for each of the plurality of biometric inputs based on the identified numerical relationship; loading a plurality of state variable inputs produced by a generic model of performance; and generate the prediction of ability to perform the task at the prediction time, generated by a trained performance predictor based on biometric inputs predicted based on the modulation parameters.

A system for virtual learning of driving a vehicle is provided. The system includes a driving unit with a steering wheel, a brake pedal, and an accelerator pedal, wherein the driving unit is activated upon receiving an activation code from a user via a computing device. A head mount device, communicatively coupled to the driving unit, displays a simulated street view to the user via the computing device, thereby training the user to operate the vehicle. A haptic generation module monitors a plurality of real-time operative parameter values during operation of the vehicle by the user; compares the plurality of current operative parameter values with a plurality of pre-defined threshold parameter values respectively; and generate a haptic feedback alert for the user based on comparison of the current operative parameter values with the plurality of predefined threshold parameter values respectively.

A system for virtual learning of driving a vehicle is provided. The system includes a driving unit with a steering wheel, a brake pedal, and an accelerator pedal, wherein the driving unit is activated upon receiving an activation code from a user via a computing device. A head mount device, communicatively coupled to the driving unit, displays a simulated street view to the user via the computing device, thereby training the user to operate the vehicle. A haptic generation module monitors a plurality of real-time operative parameter values during operation of the vehicle by the user; compares the plurality of current operative parameter values with a plurality of pre-defined threshold parameter values respectively; and generate a haptic feedback alert for the user based on comparison of the current operative parameter values with the plurality of predefined threshold parameter values respectively.

A vehicle control signal generator includes emulation circuitry for emulating at least one operation of at least one vehicle control circuit. The emulation circuitry is programmed or configured to determine or receive user input and based at least partially on the user input, generate at least one control signal for controlling at least one of the following onboard vehicle subsystems: a propulsion system, a train line control system, an air brake system, a dynamic braking system, a head of train (HOT) system, an end of train telemetry (EOT) system, a 4-Aspect cab signaling system, a positive train control (PTC) system, an event recorder system, or any combination thereof.