Methods and systems for collecting driving information and classifying drivers and self-driving systems

Abstract

Systems and methods for efficiently addressing technical and privacy/authorization obstacles associated with tracking of individuals in a vehicle, and enabling route-based analysis to determine driving behavior, socio-demographics, future profitability, and interests of individuals or self-driving systems. Driving information is collected using a device associated with a driver and a vehicle or using data collected by systems of self-driving vehicles. The frequency and methods used for the collection of driving information can be modified based on location and movement of the device and based on previous classification of the driver or self-driving system, thereby enabling efficient use of bandwidth and battery and increasing accuracy of the classification. The driving information is encoded and transmitted to a server, where future typical route segments that the driver is likely to travel are predicted, and the driver, or the self-driving system, is classified into one or more groups based on the encoded driving information.