Monitoring vehicular operation risk using sensing devices
AssigneeInternational Business Machines Corporation
InventorsYassine LASSOUED, Martin MEVISSEN, Julien MONTEIL, Giovanni RUSSO
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Abstract
Embodiments for monitoring risk associated with operating a vehicle by a processor. One or more behavior parameters of an operator of a vehicle may be learned in relation to the vehicle, one or more alternative vehicles, or a combination thereof using one or more sensing devices for a journey. A risk associated with the one or more learned behavior parameters for the journey may be assessed.
Claims20
A method, by a processor, for monitoring risk associated with operating a vehicle, comprising:
- learning one or more learned behavior parameters of an operator of a vehicle in relation to the vehicle, one or more alternative vehicles, or a combination thereof using one or more sensing devices for a journey;
- and
- assessing a risk associated with the one or more learned behavior parameters.
A system for monitoring risk associated with operating a vehicle, comprising:
- one or more computers with executable instructions that when executed cause the system to:
- learn one or more learned behavior parameters of an operator of a vehicle for a journey in relation to the vehicle, one or more alternative vehicles, or a combination thereof using one or more sensing devices;
- and
- assess a risk associated with the one or more learned behavior parameters.
A computer program product for monitoring risk associated with operating a vehicle by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
- an executable portion that learns one or more learned behavior parameters of an operator of a vehicle in relation to a journey using one or more sensing devices;
- and
- an executable portion that assesses a risk associated with the one or more learned behavior parameters.
Dependencies are inferred from the claim text.