USE OF PRINCIPAL COMPONENTS ANALYSIS TO IDENTIFY TRENDS IN TRAVEL, FUEL ECONOMY AND FUEL DEMAND. ANALYSIS MEMORANDUM. TASK 23, SUBTASK 3

This preliminary work with Principal Components Analysis (PCA) shows the power of the technique in searching for possible trends and patterns in the data. The results presented show that overall intensity of use is more important than any cyclical patterns in determining how much a vehicle will be driven. While the expected seasonal driving cycle is present in the data, so are a number of other patterns that appear to be roughly equal in importance. At this point PCA does not provide much guidance in sorting out the eleven eigenvectors of nearly equal magnitude. The analysis does indicate that the straightforward seasonal trend is really a more complicated combination of several different patterns.

  • Corporate Authors:

    Energy and Environmental Analysis, Incorporated

    1111 North 19th Street
    Arlington, VA  United States  22209
  • Publication Date: 1982-10-29

Media Info

  • Pagination: 19 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00386282
  • Record Type: Publication
  • Report/Paper Numbers: DOE/PE/70045-T5
  • Files: TRIS
  • Created Date: Jul 30 1984 12:00AM