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Convoy Detection using Sequence Alignment

Published: 05 November 2019 Publication History

Abstract

In this paper, we investigate methods to detect convoys in trajectory data with locations sampled at irregular time intervals. In such cases, convoys that exist may not be detected in some algorithms. We explore three methods, one that involves adding interpolated points to trajectories, one that introduces flexibility to the temporal dimension, and one that uses sequence alignment. The algorithms are evaluated against a real-world data set.

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  1. Convoy Detection using Sequence Alignment

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    cover image ACM Conferences
    IWCTS'19: Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science
    November 2019
    89 pages
    ISBN:9781450369671
    DOI:10.1145/3357000
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    New York, NY, United States

    Publication History

    Published: 05 November 2019

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    Author Tags

    1. clustering
    2. convoy
    3. hotspot
    4. trajectory

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    SIGSPATIAL '19
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    Overall Acceptance Rate 42 of 57 submissions, 74%

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