Systems and methods for authenticating drivers based on GPS data

摘要

Currently automobiles use embedded sensors and computational powers for performance optimization. For better performance and maintenance knowing driver and driving style is important. It is known that driver identification can be achieved using dedicated sensors. Since these are external sensors they add to cost and also deployment of many sensors increases operational and maintenance overhead. Embodiments of the present disclosure obtain GPS data including trip information pertaining to a vehicle being driven by a driver and features are extracted from trip information which are ranked by comparing these features with features associated with trip information of other drivers to selectively identify and obtain ranked features. Value of each ranked feature is compared with value of corresponding feature pertaining to driving patterns and an abnormality score for each relevant feature is generated and the driver is authenticated based on the abnormality score.