Invention Grant
- Patent Title: Prediction, planning, and optimization of trip time, trip cost, and/or pollutant emission for a vehicle using machine learning
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Application No.: US16678991Application Date: 2019-11-08
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Publication No.: US10803213B2Publication Date: 2020-10-13
- Inventor: Bhaskar Bhattacharyya , Cosmo King , Samuel Friedman , Kiersten Henderson , Alexa Rust
- Applicant: ioCurrents, Inc.
- Applicant Address: US WA Seattle
- Assignee: IOCURRENTS, INC.
- Current Assignee: IOCURRENTS, INC.
- Current Assignee Address: US WA Seattle
- Agency: Seed IP Law Group LLP
- Main IPC: G06F30/20
- IPC: G06F30/20 ; G01C21/20 ; G06N5/04 ; G06N20/00 ; G06F111/10
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.
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