Vehicle dynamics control using deep learning to update an operational parameter of a vehicle drive train

A transportation system to update an operational parameter of a drive train of a vehicle, the transportation system comprising:

• at least one sensor, associated with the vehicle, configured to sense one or more operational states of the vehicle and to output the sensed one or more operational states;
• a cloud computing platform configured to receive the sensed one or more operational states;
• a modeling application, provided at the cloud computing platform, having a processor configured to execute software to generate and operate a digital twin of the vehicle, the digital twin encompassing twin subsystems of the vehicle and simulating operations thereof;
• and
• an artificial intelligence system, associated with the cloud computing platform, configured to receive and to process the sensed one or more operational states and to update the operational parameter of the drive train of the vehicle based on the modeling application.