Trajectory grouping structure under geodesic distance

I. Kostitsyna, M.J. van Kreveld, M. Löffler, B. Speckmann, F. Staals

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

9 Citaten (Scopus)


In recent years trajectory data has become one of the main types of geographic data, and hence algorithmic tools to handle large quantities of trajectories are essential. A single trajectory is typically represented as a sequence of time-stamped points in the plane. In a collection of trajectories one wants to detect maximal groups of moving entities and their behaviour (merges and splits) over time. This information can be summarized in the trajectory grouping structure. Significantly extending the work of Buchin et al. [WADS 2013] into a realistic setting, we show that the trajectory grouping structure can be computed efficiently also if obstacles are present and the distance between the entities is measured by geodesic distance. We bound the number of critical events: times at which the distance between two subsets of moving entities is exactly ", where " is the threshold distance that determines whether two entities are close enough to be in one group. In case the n entities move in a simple polygon along trajectories with τ vertices each we give an O(τn2) upper bound, which is tight in the worst case. In case of well-spaced obstacles we give an O(τ (n2 + mλ4(n))) upper bound, where m is the total complexity of the obstacles, and λs(n) denotes the maximum length of a Davenport-Schinzel sequence of n symbols of order s. In case of general obstacles we give an O(τ min{n2 + m3λ4(n), n2m2}) upper bound. Furthermore, for all cases we provide efficient algorithms to compute the critical events, which in turn leads to efficient algorithms to compute the trajectory grouping structure.

Originele taal-2Engels
TitelProc. 31st International Symposium on Computational Geometry (SoCG)
Plaats van producties.l.
UitgeverijSchloss Dagstuhl - Leibniz-Zentrum für Informatik
Aantal pagina's15
ISBN van elektronische versie9783939897835
StatusGepubliceerd - 1 jun. 2015
Evenement31st International Symposium on Computational Geometry (SoCG 2015) - Eindhoven, Nederland
Duur: 22 jun. 201525 jun. 2015
Congresnummer: 31


Workshop31st International Symposium on Computational Geometry (SoCG 2015)
Verkorte titelSoCG 2015
Internet adres


Duik in de onderzoeksthema's van 'Trajectory grouping structure under geodesic distance'. Samen vormen ze een unieke vingerafdruk.

Citeer dit