Automatic detection of RWIS sensor malfunctions : (phase I)

Automatic detection of RWIS sensor malfunctions : (phase I) /

The overall goal of this project was to develop computerized procedures that detect Road Weather Information System (RWIS) sensor malfunctions. In this phase of the research we applied two classes of machine learning techniques to data generated by RWIS sensors in order to predict sensor malfunction...

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Bibliographic Details
Corporate Authors: University of Minnesota. Intelligent Transportation Systems Institute, University of Minnesota, Duluth. Department of Computer Science, University of Minnesota, Duluth. Northland Advanced Transportation Systems Research Laboratories
Other Authors: Crouch, Carolyn J.
Format: Book
Language:English
Published: Minneapolis, Minn. : Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, [2009]
Series:CTS (Series : Minneapolis, Minn.) 09-10.
Subjects:
Weather forecasting > Minnesota > Mathematical models.
Detectors > Minnesota > Mathematical models.
Errors.
Road weather information systems.

Minnesota Department of Transportation

Holdings details from Minnesota Department of Transportation
Call Number: TE228.3 .A96 2009 V.1

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