Techniques are described for providing educational media content. According to an embodiment, a system for providing, by a processor, educational media content items based on a determined context of a vehicle or driver of the vehicle is described. The system can comprise a context component that can determine a context of a vehicle or a driver of the vehicle, with the context component employing at least one of artificial intelligence or machine learning to facilitate inferring intent of the driver. The system can comprise a vehicle education component that can perform a utility-based analysis in connection with selecting a media content item relating to a feature of the vehicle based on the determined context, the inferred driver intent and the utility-based analysis. Further, the system can comprise a media component that can output the selected media content item.

Tagged driving events may be generated during a driving session from sensor data collected via one or more sensors and/or entered by an instructor. The tagged driving events may include a description of each driving event and its associated severity or weight as it relates to a scoring process as well as a time and/or a location of the driving event. A driving session report may be generated using the tagged driving events and may include a driver feedback score that is weighted based on the severity associated with each of the tagged driving events and/or the collected data, a map of the driving session route that indicates a map location of each tagged driving event, and/or a listing of each tagged driving event. The driving session report may be displayed such that a user may select a tagged driving event to view information associated with the tagged driving event.

A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: receiving perception data from a plurality of perception data sensors; obtaining configuration instructions and data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating a target position and target speed for each of the plurality of simulated dynamic vehicles, the generated target positions and target speeds being based on the perception data and the configuration instructions and data; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated dynamic vehicles from a current position and speed to the corresponding target position and target speed.

Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behaviors during trips in vehicles. The mobile device can further be used to assign and display scores relating to the driving behaviors, scores for individual trips, and an overall driving score for the particular user.

Systems and methods are provided for improved collision prevention. Systems and methods may provide for the prevention of rear-end vehicle collisions by locking the forward movement of the throttle pedal when a threshold is reached. An end stop or mechanical linkage may completely lock the throttle pedal in situations in which continued acceleration is likely to result in a rear-end collision. The systems and methods disclosed herein may provide from a complete locking of the throttle pedal which may physically avoid or eliminate a rear-end collision due to improper throttle actuation. The systems and methods disclosed herein may also improve a driver's mental model for safe driving by teaching a driver that certain maneuvers are not available in certain conditions.

A motion simulator for imposing loads on an occupant, the simulator having: a movable carrier for supporting the occupant; a first drive mechanism for moving the carrier; multiple loading elements configured for attachment to the occupant when the occupant is supported by the carrier; a second drive mechanism for actuating the loading elements to apply loads to the occupant; and a controller, the controller being configured to implement a simulation of a motion event by: (i) estimating a motion of the carrier consistent with the motion event and controlling the first drive mechanism to cause the carrier to adopt the estimated motion; (ii) estimating a first load on the occupant consistent with the motion event; (iii) estimating a second load on the occupant due to the motion adopted by the carrier and (iv) controlling the second drive mechanism to cause the second drive mechanism to apply to the occupant a load that is the difference between the first estimated load and the second estimated load.

An on-vehicle system for assessing an operator's efficiency of a vehicle, include sensors, an audiovisual display device, a processor and a data storage. The sensors measure or detect conditions of components of the vehicle, and convert the detected conditions into analog or digital information. The data storage stores program instructions, the analog or digital information from the sensors, and other data. The program instructions, when executed by the processor, control the on-vehicle system to determine a state of the vehicle within a vehicle's environment based on the analog or digital information from the sensors, determine whether one or more of a predetermined set of behaviors has occurred based on the determined state of a vehicle, assess performance of the determined one or more of the predetermined set of behaviors, and present the operator, via the audiovisual display device, a feedback based on the assessment.

Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.

A method of operating a motor vehicle includes detecting at least one motor vehicle driver response, producing a perception model based on the detected motor vehicle driver response, and analyzing the perception model to at avoid least one motor vehicle driver response by adjusting a parameter of the motor vehicle. Analysis of the perception model can also be carried out to predict a motor vehicle driver response, in particular during the generation of new control software for the vehicle.

An apparatus for operating a simulator with a special impression of reality is provided. The apparatus is configured for learning how to control a vehicle moving in three-dimensional reality. Controllable systems for detecting human stress reactions are provided. The controllable systems may be configured for sensing the resistance of the skin and for detecting movements of persons and physiognomy.