Driver and Path Detection through Time-Series Classification

Table 2

Experiments overview.

RQ	Experiment label	Dataset	Experiment goal
RQ1: to what extent do OBD II features allow driver identification?			Evaluate the effectiveness of the proposed approach to identify the driver regardless of the car but fixing the path
			Evaluate the effectiveness of the proposed approach to identify the driver regardless of the path but fixing the car
			Evaluate the effectiveness of the proposed approach to identify the driver regardless of both car and path
			Evaluate the effectiveness of the proposed approach to identify the driver gender regardless of the car but fixing the path
			Evaluate the effectiveness of the proposed approach to identify the driver gender regardless of the path but fixing the car
RQ2: to what extent do OBD II features allow path kind identification?			Evaluate the effectiveness of the proposed approach to identify the path kind fixing the car but regardless of the path and the driver
RQ3: is it possible, using the features available in OBD II, to identify the driver’s familiarity with the vehicle?			Evaluate the effectiveness of the proposed approach to identify the driver familiarity with the vehicle fixing of the car but regardless of the path and the driver
			Evaluate the effectiveness of the proposed approach to identify the driver familiarity with the vehicle when car, driver, and path can change