Table 2 Group / Raftery A. E. / Neural Networks / PV TV Group 2 PV TV Group / TV Group / Factor Approach Versus Neural Networks / Roadway Seasonal Classification Using Neural Networks / Intelligent Transportation Systems / /
Country
Belgium / Austria / Italy / / /
Facility
University of Washington / University of Padova / / /
IndustryTerm
transportation / main purpose grouping / statistical computing / wide / main groups / energy calculation / data mining software / rural road network / X-means algorithm / least-squares minimum distance algorithm / energy / /
Organization
Caprini Armando Department of Structural and Transportation Engineering / University of Washington / Joint Task Force on Traffic Monitoring / Foundation for Statistical Computing / AASHTO Highway Subcommittee on Traffic Engineering Guidelines for Traffic Data Programs / YALE / Department of Statistics / U.S. Federal Highway Administration / U.S. Department of Transportation / University of Padova / Pattern Analysis and Machine Intelligence / /
Person
Ward X-Means / / /
Position
representative / Corresponding author / /
ProgrammingLanguage
R / /
ProvinceOrState
Venice / South Carolina / Arizona / Washington / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /
Clustering Methods for Road Grouping in FHWA Traffic Monitoring Factor Approach Rossi Riccardo*, Gastaldi Massimiliano, Gecchele Gregorio, Caprini Armando Department of Structural and Transportation Engineering, Universi