Trip Purpose Estimation by Canonical Discriminant Analysis

As the use of new communication technologies have grown largely in the previous decade, researchers’ interest in estimating Origin Destinations (O/Ds) from these data sources have increased. One of the major limitations of the previous efforts on the O/D estimation is the lack of trip purpose data. This data are important for travel demand modeling and travel behavior analysis. In this paper, a Canonical Discriminant Analysis has been used to classify trips into different trip purposes. The data collected during the Mashhad city comprehensive travel survey (2008) has been used in this paper. As the information regarding the trip purposes was available only for these trips, the data was used. The validation results have shown that the model was successful in the classification of 66% of the trips. These results show that the proposed model could be used to classify trips that are tracked by different sources in order to obtain distinct O/D matrices for each trip purpose of interest.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01555254
  • Record Type: Publication
  • Report/Paper Numbers: 15-4884
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 30 2014 1:37PM