Data Processing System with Machine Learning Engine for Providing Driving Data Analysis and Vehicle Control Functions

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• receiving, by the at least one processor via the communication interface, driving data associated with a first vehicle;
• determining, by the at least one processor and based on a plurality of machine learning datasets, a ride performance characteristic associated with the driving data;
• generating, by the at least one processor and based on the determined ride performance characteristic, an instruction for an autonomous vehicle to modify at least one operational instruction of the autonomous vehicle based on the determined ride performance characteristic;
• and
• transmitting, by the at least one processor and via the communication interface, the instruction to modify the at least one operational instruction of an autonomous vehicle to a second vehicle, the second vehicle being the autonomous vehicle.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• receive, from a system in a first vehicle, driving data associated with the first vehicle;
• determine, based on a plurality of machine learning datasets, a ride performance characteristic associated with the driving data;
• generate, based on the determined ride performance characteristic, an instruction for an autonomous vehicle to modify at least one operational instruction of the autonomous vehicle based on the determined ride performance characteristic;
• and
• transmit the instruction to a second vehicle, the second vehicle being the autonomous vehicle.