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.

The present disclosure is directed, in part, to improving existing technologies by detecting engagement of the one or more components of the logistics vehicle, which may be indicative of receiving an indication that the user is performing at least a first logistics operation. At least partially in response to the detecting, various embodiments cause display, at one or more monitors, of data where the data includes one or more instructions for the user to perform at least a second logistics operation and/or the data includes a video feed of real world scenes.

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.

Methods and systems are provided for providing training on a vehicle. The method includes acquiring, using processing circuitry, one or more alert modes associated with a vehicle. Further, the method includes controlling one or more alert devices as a function of a first alert mode. The first alert mode is selected from the one or more alert modes. The method includes outputting information to a user associated with the first alert mode via one or more output devices.

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.

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.

Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.