The effective integration of analysis, modeling, and simulation tools

The effective integration of analysis, modeli ...
Brandon L. Nevers, Brandon L. ...
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Last edited by MARC Bot
October 1, 2024 | History

The effective integration of analysis, modeling, and simulation tools

The need for model integration arises from the recognition that both transportation decisionmaking and the tools supporting it continue to increase in complexity. Many strategies that agencies evaluate require using tools that are sensitive to supply and demand at local and regional levels. This in turn requires the use and integration of analysis tools across multiple resolutions. Despite this need, many integrated modeling practices remain ad hoc and inefficient. A concept for an open-source data hub was developed to better enable the exchange of model information across multiple resolutions. All modeling and field data are fed and stored using a unified data schema.

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Edition Availability
Cover of: The effective integration of analysis, modeling, and simulation tools
The effective integration of analysis, modeling, and simulation tools
2013, U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center
in English

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Book Details


Table of Contents

Executive summary
Introduction
Multi-resolution AMS tool integration
AMS data hub concept of operations
Portland, OR, test application results
Conclusions and recommendations
Appendix A: INI configuration file
Appendix B: Data schema
References.

Edition Notes

Title from title screen (viewed on Nov. 19, 2013).

"August 2013."

"Performing organization, Science Applications International Corporation"--Technical report documentation page.

"Publication No. FHWA-HRT-13-036."

"HRDO-20/08-13(WEB)E"--Page [132].

Includes bibliographical references (page [131]).

Sponsored by Office of Operations Research and Development, Federal Highway Administration.

Published in
McLean, VA

The Physical Object

Pagination
1 online resource ([132] pages)
Number of pages
132

Edition Identifiers

Open Library
OL56151645M
OCLC/WorldCat
863225514

Work Identifiers

Work ID
OL41340411W

Source records

Harvard University record

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October 1, 2024 Created by MARC Bot Imported from Harvard University record