Abstract: A design solution for classifying users as potential drivers traveling in a vehicle based upon a combination of real-time data gathered during a shared trip and historical data. Data gathered include overlapping time and distance of users to be classified as potential drivers. Shared trip scenarios include two or more users share a complete trip from beginning to end; two or more users share the beginning of a trip where at least one user is dropped off and the other user continues driving; two or more users share the end of a trip where at least one user is picked up during the shared trip; and one user picks up another user during a trip to thereby create a shared trip and drop off the other user to a different location before heading to a final location.

Abstract: A motor vehicle self-driving method comprises obtaining a first positioning mode and a first driving route; obtaining second vehicle information of a second motor vehicle, where the second vehicle information includes a second positioning mode and a second driving route; determining whether the first driving route overlaps with the second driving route; when the first driving route overlaps with the second driving route, comparing positioning precision of the first positioning mode with positioning precision of the second positioning mode; determining a positioning mode with higher positioning precision in the first positioning mode and the second positioning mode as a target positioning mode; determining a target driving parameter based on the target positioning mode; and controlling the first motor vehicle and the second motor vehicle to drive based on the target driving parameter.