Patents by Inventor Shayan Khoshmagham

Shayan Khoshmagham 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).

  • Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data
    Patent number: 11893883
    Abstract: A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models. A decentralized partial least squares (PLS) regression model predicts short-term speed using localized, historical probe-based traffic data, and a deep learning model applies the predicted short-term speed to further estimate traffic speed at specified times and at specific locations in the transportation network for predicting traffic bottlenecks and other future traffic states.
    Type: Grant
    Filed: April 4, 2023
    Date of Patent: February 6, 2024
    Assignee: ITERIS, INC.
    Inventors: Tiffany E. Symes, Pouyan Hosseini, Shayan Khoshmagham
  • SHORT-TERM TRAFFIC SPEED PREDICTION AND FORECASTING USING MACHINE LEARNING ANALYSIS OF SPATIOTEMPORAL TRAFFIC SPEED DEPENDENCIES IN PROBE AND WEATHER DATA
    Publication number: 20230394960
    Abstract: A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models.
    Type: Application
    Filed: April 4, 2023
    Publication date: December 7, 2023
    Inventors: TIFFANY E. SYMES, POUYAN HOSSEINI, SHAYAN KHOSHMAGHAM
  • MOBILITY INDEX DETERMINATION
    Publication number: 20230227046
    Abstract: An example operation includes one or more of sensing from at least one sensor, a longitudinal acceleration and a lateral acceleration, receiving from the at least one sensor, a longitudinal acceleration signal based on the longitudinal acceleration and a lateral acceleration signal based on the lateral acceleration, filtering via at least one logic, the longitudinal acceleration signal and the lateral acceleration signal based on an interquartile range of the longitudinal acceleration signal and the lateral acceleration signal, yielding a plurality of filtered signals and determining via the at least one logic, a mobility index of a transport based on the filtered signals.
    Type: Application
    Filed: January 14, 2022
    Publication date: July 20, 2023
    Inventor: Shayan Khoshmagham
  • Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data
    Patent number: 11620901
    Abstract: A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models. A decentralized partial least squares (PLS) regression model predicts short-term speed using localized, historical probe-based traffic data, and a deep learning model applies the predicted short-term speed to further estimate traffic speed at specified times and at specific locations in the transportation network for predicting traffic bottlenecks and other future traffic states.
    Type: Grant
    Filed: June 2, 2022
    Date of Patent: April 4, 2023
    Assignee: ITERIS, INC.
    Inventors: Tiffany E. Symes, Pouyan Hosseini, Shayan Khoshmagham