A framework of spatio-temporal trajectory simplification methods
Journal Publication ResearchOnline@JCUAbstract
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.
Journal
International Journal of Geographic Information Science
Publication Name
N/A
Volume
31
ISBN/ISSN
1362-3087
Edition
N/A
Issue
6
Pages Count
26
Location
N/A
Publisher
Taylor & Francis
Publisher Url
N/A
Publisher Location
N/A
Publish Date
N/A
Url
N/A
Date
N/A
EISSN
N/A
DOI
10.1080/13658816.2017.1290250