Advanced Research on the Empirical Mode Decomposition (EMD) Algorithm
This project is designed to further refine this advanced mathematical concept and explore its potential applications in highway safety, infrastructure, and environment. The research consists of two broad fronts of studies: to improve the presently available Empirical Mode Decomposition (EMD) algorithms and to establish a rigorous mathematical foundation for the generalized adaptive data analysis methodology. The success of the first will enhance immediate improvement of information management in a complex or significantly rich signal data system, such as the Integrated Safety System (ISS) being considered by the Federal Highway Administration (FHWA) or for full scale traffic control systems. The success of the second research area would enable drastic improvement of robustness and reliability of the algorithm and guarantees its further applications. The project is managed by the Office of Safety Research & Development (R&D).
- Record URL:
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Supplemental Notes:
- Program Information: Exploratory Advanced Research
Language
- English
Project
- Status: Active
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Sponsor Organizations:
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Lee, Kunik
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Performing Organizations:
Princeton University
NASA Goddard Space Flight Center, and Center for Ocean Land Atmospheric Studies
, - Start Date: 20130701
- Expected Completion Date: 0
- Actual Completion Date: 20120331
- Source Data: RiP Project 34558
Subject/Index Terms
- TRT Terms: Algorithms; Empirical methods; Highway traffic control; Mathematical methods; Traffic signals
- Identifier Terms: Empirical Mode Decomposition
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01485437
- Record Type: Research project
- Source Agency: Department of Transportation
- Files: RiP, USDOT
- Created Date: Jul 2 2013 1:01AM