Brisaboa, Nieves R.Gómez-Brandón, AdriánMartínez-Prieto, Miguel A.Paramá, José R.2024-01-162024-01-162018Brisaboa, N.R., Gómez-Brandón, A., Martínez-Prieto, M.A., Paramá, J.R. (2018). 3DGraCT: A Grammar-Based Compressed Representation of 3D Trajectories. In: Gagie, T., Moffat, A., Navarro, G., Cuadros-Vargas, E. (eds) String Processing and Information Retrieval. SPIRE 2018. Lecture Notes in Computer Science(), vol 11147. Springer, Cham. https://doi.org/10.1007/978-3-030-00479-8_9978-3-030-00479-80302-97431611-3349http://hdl.handle.net/2183/34920This version of the manuscript has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-00479-8_9[Abstract]: Much research has been published about trajectory management on the ground or at the sea, but compression or indexing of flight trajectories have usually been less explored. However, air traffic management is a challenge because airspace is becoming more and more congested, and large flight data collections must be preserved and exploited for varied purposes. This paper proposes 3DGraCT, a new method for representing these flight trajectories. It extends the GraCT compact data structure to cope with a third dimension (altitude), while retaining its space/time complexities. 3DGraCT improves space requirements of traditional spatio-temporal data structures by two orders of magnitude, being competitive for the considered types of queries, even leading the comparison for a particular one.eng© 2018 Springer Nature Switzerland AGTodos os dereitos reservados. All rights reserved.Trajectories of moving objectsGraCT3DGraCTCompressed Representation of trajectoriesconference outputopen access10.1007/978-3-030-00479-8_9