Patents by Inventor Mazdak TOOTKABONI

Mazdak TOOTKABONI 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).

  • Method to measure road roughness characteristics and pavement induced vehicle fuel consumption
    Patent number: 11346677
    Abstract: A method of monitoring quality of a road segment from driver data is provided. The method includes receiving, by a server over a network, the driver data for a road segment from one or more sensing units in one or more vehicles. The method also includes calculating, in one or more computing devices, one or more quantitative pavement surface characteristics of the road segment from the driver data using a probabilistic inverse analysis framework. The method also includes identifying, in the one or more computing devices, one or more quantitative vehicle properties of the one or more vehicles from the driver data using the probabilistic inverse analysis framework. The method then includes estimating, in the one or more computing devices, one or more road quality characteristics of the road segment based on at least one of the quantitative pavement surface characteristics of the road segment and the quantitative vehicle properties of the one or more vehicles.
    Type: Grant
    Filed: December 4, 2018
    Date of Patent: May 31, 2022
    Assignees: University of Massachusetts, Massachusetts Institute of Technology
    Inventors: Arghavan Louhghalam, Mazdak Tootkaboni, Franz-Josef Ulm
  • METHOD TO MEASURE ROAD ROUGHNESS CHARACTERISTICS AND PAVEMENT INDUCED VEHICLE FUEL CONSUMPTION
    Publication number: 20210223053
    Abstract: A method of monitoring quality of a road segment from driver data is provided. The method includes receiving, by a server over a network, the driver data for a road segment from one or more sensing units in one or more vehicles. The method also includes calculating, in one or more computing devices, one or more quantitative pavement surface characteristics of the road segment from the driver data using a probabilistic inverse analysis framework. The method also includes identifying, in the one or more computing devices, one or more quantitative vehicle properties of the one or more vehicles from the driver data using the probabilistic inverse analysis framework. The method then includes estimating, in the one or more computing devices, one or more road quality characteristics of the road segment based on at least one of the quantitative pavement surface characteristics of the road segment and the quantitative vehicle properties of the one or more vehicles.
    Type: Application
    Filed: December 4, 2018
    Publication date: July 22, 2021
    Inventors: Arghavan LOUHGHALAM, Mazdak TOOTKABONI, Franz-Josef ULM