Patents by Inventor Richard J. Beckman

Richard J. Beckman 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: 8423494
    Abstract: A system for generating a representation of a situation is disclosed. The system comprises one or more computer-readable media including computer-executable instructions that are executable by one or more processors to implement a method of generating a representation of a situation. The method comprises receiving input data regarding a target population. The method further comprises constructing a synthetic data set including a synthetic population based on the input data. The synthetic population includes a plurality of synthetic entities. Each synthetic entity has a one-to-one correspondence with an entity in the target population. Each synthetic entity is assigned one or more attributes based on information included in the input data. The method further comprises receiving activity data for a plurality of entities in the target population.
    Type: Grant
    Filed: April 14, 2010
    Date of Patent: April 16, 2013
    Assignee: Virginia Polytechnic Institute and State University
    Inventors: Christopher L. Barrett, Madhav V. Marathe, Keith R. Bisset, Richard J. Beckman, Paula E. Stretz, Henning S. Mortveit, Stephen G. Eubank, Achla Marathe, Anil Kumar S. Vullikanti
  • Publication number: 20100293123
    Abstract: A system for generating a representation of a situation is disclosed. The system comprises one or more computer-readable media including computer-executable instructions that are executable by one or more processors to implement a method of generating a representation of a situation. The method comprises receiving input data regarding a target population. The method further comprises constructing a synthetic data set including a synthetic population based on the input data. The synthetic population includes a plurality of synthetic entities. Each synthetic entity has a one-to-one correspondence with an entity in the target population. Each synthetic entity is assigned one or more attributes based on information included in the input data. The method further comprises receiving activity data for a plurality of entities in the target population. The method further comprises generating activity schedules for each synthetic entity in the synthetic population.
    Type: Application
    Filed: April 14, 2010
    Publication date: November 18, 2010
    Inventors: Christopher L. Barrett, Madhav V. Marathe, Keith R. Bisset, Richard J. Beckman, Paula E. Stretz, Henning S. Mortveit, Stephen G. Eubank, Achla Marathe, Anil Kumar S. Vullikanti
  • Publication number: 20040088392
    Abstract: A system and method provides a simulation of a complex network and movement and interdependencies between entities in the network. The system receives aggregated population data and a population synthesizer generates disaggregated population data representative of two different types of entities. The different entity types are then coupled to one another to form interdependent relationships. An activity generator generates typical activities for the entities. A route planner generates travel plans, including departure times and travel modes, for each entity to achieve daily activities. A micro-simulation module simulates movement of the individual entities in compliance with their travel plans. The system may include parallel processors to simulate thousands of roadway and transit segments, intersection signals and signs, transfer facilities between various transportation modes, traveler origins and destinations, and entities and vehicles.
    Type: Application
    Filed: March 18, 2002
    Publication date: May 6, 2004
    Applicant: The Regents of the University of California
    Inventors: Christopher L. Barrett, Richard J. Beckman, Stephen G. Eubank, Madhav V. Marathe, Keith A. Baggerly, Michael D. McKay, Paul L. Speckman, Rudiger R. Jacob, Goran Konjevod, Kai Nagel, Kathryn P. Berkbigler, Brian W. Bush, Joerg Esser, Paula E. Stretz, James P. Smith, Katherine Campbell