Abstract: A method, non-transitory computer readable medium, and a driver intervention device that obtains an indication of a risk event associated with a motor vehicle driver. At least one human factor of the motor vehicle driver that contributed to the risk event is retrieved based on a correlation with the indicated risk event. At least one recommended intervention is determined for the motor vehicle driver based on a match of the at least one human factor of the motor vehicle driver. The determined at least one recommended intervention is output to a computing device associated with the motor vehicle driver.

Abstract: A method, non-transitory computer readable medium, and an insurance exchange device that obtains at least historical risk event data and telematic data for at least one motor vehicle driver in response to a received request for an insurance underwriting offer for the motor vehicle driver(s). The at least one motor vehicle driver can be an individual driver, in which case the request can be received from a consumer customer, or a plurality of motor vehicle drivers, in which case the request can be received from a commercial customer representing a fleet of vehicles and associated drivers, for example. A performance profile is generated for the motor vehicle driver(s) based on the historical risk event data and telematic data. The performance profile is provided to motor vehicle insurance providers. An insurance underwriting offer is received from at least one of the insurance providers and sent in response to the request.

Abstract: A method, non-transitory computer readable medium, and a performance data management device that collates driver performance data for generating a predictive model of risk associated with insuring a motor vehicle driver. The driver performance data comprises at least historical risk event data and telematic data for a plurality of motor vehicle drivers. A request for driver performance data is received from a modeling computing device, the request comprising one or more predictive modeling parameters including at least demographic information for the motor vehicle driver. A portion of the identified driver performance data is retrieved based at least in part on a match of the demographic information. Personally identifiable information included in the portion of the identified driver performance data is removed. The portion of the driver performance data is provided to the modeling computing device in response to the request.

Abstract: An apparatus with a tire that is capable of castering 360 degrees replaces the rear wheels of a front wheel powered automotive vehicle to give drivers an educational experience that simulates the effects excessive speed has upon entry into curves and turns. The rear wheels can remain locked in a non-castering position, whereby the vehicle will perform in a conventional manner. However, under the control of an instructor, the lock can be removed to free the casters, causing the rear of the vehicle to move in the opposite direction from the steering input to simulate a rear wheel skid. When the vehicle on which the invention is mounted is being driven in a straight path the freely castering rear wheels will trail in a straight path. When there is a change in lateral position, such as that which occurs when entering a curve or making a turn, the rear castering wheels will continue to travel in a straight direction causing a lateral acceleration resulting in a rear yaw.