Sequence alignment methods have recently found increasing application in transportation research for segmentation and classification analysis. Because these methods account for the sequential nature of activity–travel diary data, they are valuable for classifying activity–travel diary data. However, computation time requirements are overwhelming, implying that large-scale applications of these methods have not yet been possible. The performance and applicability of a heuristic approach was explored by using smart card data from Seoul, South Korea. Results were promising and suggest that the proposed heuristic approach could be used to perform segmentation analysis of large activity–travel data sets. Avenues for further improvement of the suggested method are discussed.


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    Title :

    Applying Sequence Alignment Methods to Large Activity–Travel Data Sets


    Subtitle :

    Heuristic Approach


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Analysis of Travel Behavior Using Sequence Alignment Methods

    Wilson, Clarke | Transportation Research Record | 1998


    Analysis of Travel Behavior Using Sequence Alignment Methods

    Wilson, C. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1998