A framework of spatio-temporal trajectory simplification methods

Bermingham, Luke, and Lee, Ickjai (2017) A framework of spatio-temporal trajectory simplification methods. International Journal of Geographic Information Science, 31 (6). pp. 1128-1153.

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Abstract

We present an extensible, generic, spatio-temporal trajectory simplification framework that modularises trajectory simplification into the stages of normalising, ranking, and reduction. We combine a range of ranking strategies and scoring heuristics – some from the literature and some new – into our framework modules and create a variety of spatio-temporal trajectory simplification methods. These trajectory simplification methods are experimented upon using real world and synthetic datasets, measuring running time, geometric displacement, and region-of-interest visitation. The results indicate that our proposed framework creates a number of efficient and effective spatio-temporal trajectory simplification methods.

Item ID: 48044
Item Type: Article (Research - C1)
ISSN: 1362-3087
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A version of this publication was included as Chapter 3 of the following PhD thesis: Bermingham, Luke Leslie (2018) From spatio-temporal trajectories to succinct and semantically meaningful patterns. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.

Date Deposited: 21 Mar 2017 23:09
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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