TY  - JOUR
A1  - Buschmann, Stefan
A1  - Trapp, Matthias
A1  - Döllner, Jürgen Roland Friedrich
T1  - Animated visualization of spatial-temporal trajectory data for air-traffic analysis
JF  - The Visual Computer
N2  - With increasing numbers of flights worldwide and a continuing rise in airport traffic, air-traffic management is faced with a number of challenges. These include monitoring, reporting, planning, and problem analysis of past and current air traffic, e.g., to identify hotspots, minimize delays, or to optimize sector assignments to air-traffic controllers. To cope with these challenges, cyber worlds can be used for interactive visual analysis and analytical reasoning based on aircraft trajectory data. However, with growing data size and complexity, visualization requires high computational efficiency to process that data within real-time constraints. This paper presents a technique for real-time animated visualization of massive trajectory data. It enables (1) interactive spatio-temporal filtering, (2) generic mapping of trajectory attributes to geometric representations and appearance, and (3) real-time rendering within 3D virtual environments such as virtual 3D airport or 3D city models. Different visualization metaphors can be efficiently built upon this technique such as temporal focus+context, density maps, or overview+detail methods. As a general-purpose visualization technique, it can be applied to general 3D and 3+1D trajectory data, e.g., traffic movement data, geo-referenced networks, or spatio-temporal data, and it supports related visual analytics and data mining tasks within cyber worlds.
KW  - Spatio-temporal visualization
KW  - Trajectory visualization
KW  - 3D visualization
KW  - Visual analytics
KW  - Real-time rendering
Y1  - 2016
U6  - https://doi.org/10.1007/s00371-015-1185-9
SN  - 0178-2789
SN  - 1432-2315
VL  - 32
SP  - 371
EP  - 381
PB  - Springer
CY  - New York
ER  -