×

Prediction, planning, and optimization of trip time, trip cost, and/or pollutant emission for a vehicle using machine learning

  • US 10,803,213 B2
  • Filed: 11/08/2019
  • Issued: 10/13/2020
  • Est. Priority Date: 11/09/2018
  • Status: Active Grant
First Claim
Patent Images

1. A method for producing a real-time output based on at least one constraint and a relationship among vehicle speed, at least one engine or vessel parameter that indicates or influences propulsion, and at least one of directly measured operating condition or indirectly measured operating condition, comprising:

  • monitoring vehicle speed and fuel consumption rate of a vehicle over an engine speed range of at least one engine of the vehicle;

    generating a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, based on the monitoring;

    receiving at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated emissions;

    automatically producing by at least one automated processor, based on the predictive model, and the received at least one constraint, an output constraint; and

    determining a failure of the predictive model.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×