Hasso-Plattner-Institut
Prof. Dr. Jürgen Döllner
  
 

Contact

Forschung und Lehre

Contact

Tel.: +49-(0)331 5509-3917
Fax: +49-(0)331 5509-172
Room: H-2.21
Email: stefan.buschmann(at)hpi.de

Research Interests

  • Visualization of massive spatio-temporal data
  • Flight traffic visualization
  • Real-Time Rendering
  • Visual Analytics

Publications

Real-Time Animated Visualization of Massive Air-Traffic Trajectories

Buschmann, Stefan and Trapp, Matthias and Döllner, Jürgen
Proceedings of CyberWorlds 2014, pages 172-181, 2014 IEEE Computer Society .

DOI: 10.1109/CW.2014.32

Abstract:

With increasing numbers of flights world-wide 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. Interactive and dynamic 3D visualization and visual analysis of massive aircraft trajectories, i.e., analytical reasoning enabled by interactive cyber worlds, can be used to approach these challenges. To facilitate this kind of analysis, especially in the context of real-time data, interactive tools for filtering, mapping, and rendering are required. In particular, the mapping process should be configurable at run-time and support both static mappings and animations to allow users to effectively explore and realize movement dynamics. However, with growing data size and complexity, these stages of the visualization pipeline require computational efficient implementations to be capable of processing within real-time constraints. This paper presents an approach for real-time animated visualization of massive air-traffic data, that implements all stages of the visualization pipeline based on GPU techniques for efficient processing. It enables (1) interactive spatio-temporal filtering, (2) generic mapping of trajectory attributes to geometric representations and appearances, as well as (3) real-time rendering within 3D virtual environments, such as virtual 3D airport and city models. Based on this pipeline, different visualization metaphors (e.g., temporal focus+context, density maps, and overview+detail visualization) are implemented and discussed. The presented concepts and implementation can be generally used as visual analytics and data mining techniques in cyber worlds, e.g., to visualize movement data, geo-referenced networks, or other spatio-temporal data.

Keywords:

spatio-temporal visualization, trajectory visualization, 3D visualization, visual analytics, real-time rendering

BibTeX file

@conference{BTD2014,
author = { Buschmann, Stefan and Trapp, Matthias and D{\"o}llner, J{\"u}rgen },
title = { Real-Time Animated Visualization of Massive Air-Traffic Trajectories },
year = { 2014 },
pages = { 172-181 },
month = { 0 },
abstract = { With increasing numbers of flights world-wide 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. Interactive and dynamic 3D visualization and visual analysis of massive aircraft trajectories, i.e., analytical reasoning enabled by interactive cyber worlds, can be used to approach these challenges. To facilitate this kind of analysis, especially in the context of real-time data, interactive tools for filtering, mapping, and rendering are required. In particular, the mapping process should be configurable at run-time and support both static mappings and animations to allow users to effectively explore and realize movement dynamics. However, with growing data size and complexity, these stages of the visualization pipeline require computational efficient implementations to be capable of processing within real-time constraints. This paper presents an approach for real-time animated visualization of massive air-traffic data, that implements all stages of the visualization pipeline based on GPU techniques for efficient processing. It enables (1) interactive spatio-temporal filtering, (2) generic mapping of trajectory attributes to geometric representations and appearances, as well as (3) real-time rendering within 3D virtual environments, such as virtual 3D airport and city models. Based on this pipeline, different visualization metaphors (e.g., temporal focus+context, density maps, and overview+detail visualization) are implemented and discussed. The presented concepts and implementation can be generally used as visual analytics and data mining techniques in cyber worlds, e.g., to visualize movement data, geo-referenced networks, or other spatio-temporal data. },
keywords = { spatio-temporal visualization, trajectory visualization, 3D visualization, visual analytics, real-time rendering },
publisher = { IEEE Computer Society },
booktitle = { Proceedings of CyberWorlds 2014 },
isbn = { 978-1-4799-4677-8/14 },
priority = { 0 }
}

Copyright Notice

last change: Tue, 07 Jun 2016 17:05:58 +0200

Talks

  • Presentation of the GTX visualization framework for climate networks at EGU 2016, Vienna, Austria (04/2016)
  • "Real-Time Visualization of Massive Movement Data in Digital Landscapes", Digital Landscape Architecture 2015, Dessau, Germany (06/2015)
  • "Real-Time Animated Visualization of Massive Air-Traffic Trajectories", CyberWorlds 2014, Santander, Spain (10/2014)
  • "A visual-analytics framework for network-based geo-temporal data", Seminar on Complex Networks, Potsdam Institute for Climate Impact Research (PIK), (10/2013)
  • "Towards Visualizing Geo-Referenced Climate Networks", GeoViz Hamburg 2013, Hamburg, Germany (2013)
  • "Challenges and Approaches for the Visualization of Movement Trajectories in 3D Geovirtual Environments", GeoVA(t) Workshop - Time To Focus On Time, Columbus, Ohio, USA (2012)
  • "Dichte- und Distanzanalyse massiver raumzeitlicher Bewegungsdaten", Geoinformatik 2012, Braunschweig, Germany (2012)
  • "Framework for Interactive Analysis and Visualization of Flight Traffic Data", Summer School on Moving Objects and Knowledge Discovery, Ghent University, Ghent, Belgium (2011)

Teaching

Winter term 2015/16:

  • Seminar "Systems Engineering for Software Analytics"

Summer term 2015:

  • Lecture "3D-Computergraphics I" (tutor)
  • Seminar "Graphics programming with C++ and OpenGL"

Winter term 2014/15:

  • Preparation Course "Programming with C++"
  • Seminar "Game Programming"

Summer term 2014:

  • Seminar "Graphics programming with C++ and OpenGL"

Winter term 2013/14:

  • Seminar "Game Programming"

Summer term 2013:

  • Seminar "Graphics programming with C++ and OpenGL"

Winter term 2012/13:

  • Seminar "3D Visualization"

Summer term 2012:

  • Lecture "Visualization" (tutor)

Winter term 2011/12:

  • Seminar "Game-Programming"

Summer term 2011:

  • Lecture "Geovisualization" (tutor)
  • Lecture "3D-Computergraphics I" (tutor)
  • Seminar "Multimedia/Graphics libraries and systems"

Media