Using a scalable modeling and simulation framework to evaluate the benefits of intelligent transportation systems.

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A scalable, distributed modeling and simulation framework has been developed at Argonne National Laboratory to study Intelligent Transportation Systems. The framework can run on a single-processor workstation, or run distributed on a multiprocessor computer or network of workstations. The framework is modular and supports plug-in models, hardware, and live data sources. The initial set of models currently includes road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in-vehicle navigation systems, roadway traffic advisories. The modeling and simulation capability has been used to examine proposed ITS concepts. Results are presented from modeling scenarios ... continued below

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9 p.

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Ewing, T. & Tentner, A. March 21, 2000.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 38 times , with 4 in the last month . More information about this article can be viewed below.

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  • Argonne National Laboratory
    Publisher Info: Argonne National Laboratory, Argonne, IL (United States)
    Place of Publication: Argonne, Illinois

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Description

A scalable, distributed modeling and simulation framework has been developed at Argonne National Laboratory to study Intelligent Transportation Systems. The framework can run on a single-processor workstation, or run distributed on a multiprocessor computer or network of workstations. The framework is modular and supports plug-in models, hardware, and live data sources. The initial set of models currently includes road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in-vehicle navigation systems, roadway traffic advisories. The modeling and simulation capability has been used to examine proposed ITS concepts. Results are presented from modeling scenarios from the Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE) experimental program to demonstrate how the framework can be used to evaluate the benefits of ITS and to plan future ITS operational tests and deployment initiatives.

Physical Description

9 p.

Notes

OSTI as DE00752898

Medium: P; Size: 9 pages

Source

  • High Performance Computing 2000 - Advanced Simulation Technologies Conference, Washington, DC (US), 04/16/2000--04/20/2000

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  • Report No.: ANL/TD/CP-101364
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 752898
  • Archival Resource Key: ark:/67531/metadc702222

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • March 21, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • April 11, 2017, 8:11 p.m.

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Ewing, T. & Tentner, A. Using a scalable modeling and simulation framework to evaluate the benefits of intelligent transportation systems., article, March 21, 2000; Argonne, Illinois. (digital.library.unt.edu/ark:/67531/metadc702222/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.