Machine learning based determination of accurate motion parameters of a vehicle

A method for determining accurate motion parameters for a vehicle, the method comprising:

• receiving a machine learning model configured to process ride parameters describing a ride or a portion of the ride of a vehicle, wherein the machine learning model is for determination of accurate motion parameters for the vehicle;
• for each of a plurality of portions of the ride:
• receiving ride parameters from a plurality of signal sources, wherein the ride parameters describe the portion of the ride and each signal source is one of a local signal source or an external signal source;
• extracting a feature vector from the received ride parameters, the feature vector comprising at least a feature describing the vehicle;
• executing the machine learning model by providing the feature vector as input to the machine learning model;
• determining a set of accurate motion parameters describing the portion of the ride based on the execution of the machine learning model, wherein the set of accurate motion parameters comprises one or more of:
• a speed of the vehicle, time duration of the portion of ride, acceleration of the vehicle, or location of the vehicle;
• and
• determining a weighted aggregate value associated with the ride based on the set of accurate motion parameters for the ride.

A non-transitory computer readable storage medium storing instructions, wherein the instructions cause a processor to:

• receive a machine learning model configured to process ride parameters describing a ride or a portion of the ride of a vehicle, wherein the machine learning model is for determination of accurate motion parameters for the vehicle;
• for each of a plurality of portions of the ride:
• receive ride parameters from a plurality of signal sources, wherein the ride parameters describe the portion of the ride and each signal source is one of a local signal source or an external signal source;
• extract a feature vector from the received ride parameters, the feature vector comprising at least a feature describing the vehicle;
• execute the machine learning model by providing the feature vector as input to the machine learning model;
• determine a set of accurate motion parameters describing the portion of the ride based on the execution of the machine learning model, wherein the set of accurate motion parameters comprises one or more of:
• a speed of the vehicle, time duration of the portion of ride, acceleration of the vehicle, or location of the vehicle;
• and
• determine a weighted aggregate value associated with the ride based on the set of accurate motion parameters for the ride.