Effectiveness of visual analytics in supporting the reasoning on Vehicular Ad-Hoc Networks (poster)
作者： Daniele Brevi , Hector Agustin Cozzetti , Riccardo Scopigno , Qing Xu
关键词: Usability 、 Visualization 、 Visual analytics 、 Comprehension 、 Wireless ad hoc network 、 World Wide Web 、 Computer science 、 Vehicular ad hoc network 、 Data science
摘要: In the last years, a huge effort has been devoted to improvement of simulation tools for Vehicular Ad-Hoc Networks (VANETs). However, one gap still needs be filled: supporting precise comprehension achieved numerical results, are not available yet; in fact, platforms usually lead quantitative figures which can investigated only by statistics. Conversely, outputs and depend on several aspects — such as mobility position-dependent phenomena; consequently, they particularly difficult comprehensively understood. While this aspect may seem negligible, it strongly hamper usability results. It is then envisioned possibility boost analysis network simulations means interactive tools. VisMagna visualization tool, specifically meant support understanding complex VANET scenarios. The paper introduces shows at work, highlighting deeper enabled it.
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