Patents by Inventor Alexa Rust

Alexa Rust has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11200358
    Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: December 14, 2021
    Assignee: IOCURRENTS, INC.
    Inventors: Bhaskar Bhattacharyya, Cosmo King, Samuel Friedman, Kiersten Henderson, Alexa Rust
  • Publication number: 20200401743
    Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.
    Type: Application
    Filed: September 3, 2020
    Publication date: December 24, 2020
    Inventors: Bhaskar Bhattacharyya, Cosmo King, Samuel Friedman, Kiersten Henderson, Alexa Rust
  • Patent number: 10803213
    Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: October 13, 2020
    Assignee: IOCURRENTS, INC.
    Inventors: Bhaskar Bhattacharyya, Cosmo King, Samuel Friedman, Kiersten Henderson, Alexa Rust
  • Publication number: 20200151291
    Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 14, 2020
    Inventors: Bhaskar Bhattacharyya, Cosmo King, Samuel Friedman, Kiersten Henderson, Alexa Rust