A framework of spatio-temporal trajectory simplification methods |
| |
| Authors: | Luke Bermingham |
| |
| Institution: | Information Technology Academy, College of Law, Business and Governance, James Cook University, Cairns, Australia |
| |
| 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. |
| |
| Keywords: | Trajectory simplification poly-line simplification spatio-temporal |
|
|
