A generation of synthesized trajectories of free moving objects for testing a set of continuous spatio‐temporal queries. (22nd June 2022)

• Record Type: Journal Article
• Authors: Lee, Sanghyun; Hong, Bonghee; Kim, Woochan
• Other Names: Wright Steven A. guestEditor.; Solak Serdar guestEditor.; Kilimci Zeynep Hilal guestEditor.; Eken Süleyman guestEditor.; Fernandes Steven guestEditor.; Zhang Yu‐Dong guestEditor.; Tavares João Manuel R.S. guestEditor.
• Is Part Of: Concurrency and computation. Volume 34:Number 20(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-06-22
• Subjects: continuous queries -- moving object -- spatial query -- trajectory; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.7147
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Testing vessel surveillance monitoring queries requires synthesized trajectory generation data of free‐moving objects. This article presents a method for generating trajectories of free moving objects with approach, u‐turn, detour, and hover patterns to verify a set of continuous queries expressed in spatiotemporal conditions. We present an algorithm that generates simplified paths, moving patterns, and inertia‐based trajectories to make various types of trajectory patterns for a given spatiotemporal query. The experimental results show that the generated synthesized trajectory dataset can validate given spatiotemporal queries with different velocities, trajectory patterns, and travel paths.