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 |
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Item Type: | Article (Research - C1) |
ISSN: | 1362-3087 |
Related URLs: | |
Additional Information: | 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: | 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery @ 100% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100% |
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