Method for mobile device-based cooperative data capture

A method for a plurality of mobile devices in a vehicle, the method comprising:

• with a first computer onboard a first mobile device, receiving at least a portion of a first movement dataset corresponding to a first sensor of the first mobile device of the plurality of mobile devices, wherein the first movement dataset comprises at least one of:
• position, velocity, and acceleration data;
• with a second computer onboard a second mobile device, receiving at least a portion of a second movement dataset corresponding to a second sensor of the second mobile device of the plurality of mobile devices, wherein the second movement dataset comprises at least one of:
• position, velocity, and acceleration data;
• with a remote computer in communication with the first and second computers, based on an at least partial overlap between the first and the second movement datasets, determining satisfaction of a device association condition indicative of the first and the second mobile devices residing in the vehicle;
• and
• based on determining the satisfaction of the device association condition, with the remote computer:
• based on a comparison of the first and second movement datasets and with a trained machine learning model, determining a driver classification associated with a first user profile of the first mobile device and a passenger classification associated with a second user profile of the second mobile device;
• and
• performing a first and a second action associated with the first and second user profiles, respectively, based on the driver classification and the passenger classification, respectively, wherein the first and second actions are different, and wherein:
• the first action comprises receiving additional information of the first movement dataset;
• and
• the second action comprises ceasing collection of additional data of the second movement dataset.