Patent ID: 11961155
Assignee: STRONG FORCE TP PORTFOLIO 2022, LLC
Field: Control (Instruments)
Classification: CPC G  B  Y | IPC B  G

Claim 0:
1. A system for transportation, comprising:
at least one vehicle having a state of the at least one vehicle, wherein the state of the at least one vehicle includes an entertainment state of the at least one vehicle, wherein the entertainment state of the at least one vehicle includes a set of values for in-vehicle entertainment parameters, wherein a first rider state of a first rider in the at least one vehicle corresponds to a first set of values of the in-vehicle entertainment parameters and wherein a second rider state of a second rider in the at least one vehicle corresponds to a second set of values of the in-vehicle entertainment parameters, wherein the second rider is exclusive of the first rider, and wherein each of the first rider state and the second rider state includes an entertainment state; and
an artificial intelligence system in communication with the at least one vehicle, the artificial intelligence system operative on at least one processor having access to a non-transitory storage medium that stores computer executable instructions to be executed by the at least one processor, the artificial intelligence system including:
a first neural network of a hybrid neural network to classify social media data sourced from a plurality of social media sources as affecting a transportation system;
a second neural network of the hybrid neural network to predict, based on the classified social media data, a conflict between the first set of values of the in-vehicle entertainment parameters and the second set of values of the in-vehicle entertainment parameters; and
a third neural network of the hybrid neural network to optimally resolve the conflict between the first set of values of the in-vehicle entertainment parameters and the second set of values of the in-vehicle entertainment parameters by at least one of a model, a rule, or machine learning to generate an optimized set of values of the in-vehicle entertainment parameters to achieve an optimized combination of the first rider state and the second rider state,
wherein the optimized set of values of the in-vehicle entertainment parameters affects entertainment content that is to be provided via audio or video in the at least one vehicle and includes content relating to at least one of: music, news, advertising, movies, entertainment games, or sports, and
wherein the third neural network is configured to adjust the first and second sets of values of the in-vehicle entertainment parameters to achieve the generated optimized set of values of the in-vehicle entertainment parameters and thereby achieve the optimized combination of the first rider state and the second rider state.