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.

Supplemental Notes:
- This paper was sponsored by TRB committee ABJ40 Travel Survey Methods.
Corporate Authors:
Transportation Research Board

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Washington, DC United States 20001
Authors:
- Kalantari, Navid
- Khavarzadeh, Ramin
Conference:
- Transportation Research Board 94th Annual Meeting
- Location: Washington DC, United States
- Date: 2015-1-11 to 2015-1-15
Date: 2015

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

TRT Terms: Classification; Mathematical models; Origin and destination; Statistical analysis; Trip purpose
Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

Accession Number: 01555254
Record Type: Publication
Report/Paper Numbers: 15-4884
Files: TRIS, TRB, ATRI
Created Date: Feb 26 2015 10:05AM