HoloCity – exploring the use of augmented reality cityscapes for collaborative understanding of high-volume urban sensor data

Oliver Lock, T. Bednarz, C. Pettit
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引用次数: 24

Abstract

This research presents an application for visualizing the real-world cityscapes and massive transport network performance data sets in Augmented Reality (AR) using the Microsoft HoloLens, or any equivalent hardware. This runs in tandem with numerous emerging applications in the growing worldwide Smart Cities movement and industry. Specifically, this application seeks to address visualization of both real-time and aggregated city data feeds - such as weather, traffic and social media feeds. The software is developed in extensible ways, and it able to overlay various historic and live data sets coming from multiple sources. Advances in computer graphics, data processing and visualization now allow us to tie these visual tools in with much more detailed, longitudinal, massive performance data sets to support comprehensive and useful forms of visual analytics for city planners, decision makers and citizens. Further, it allows us to show these in new interfaces such as the HoloLens and other head-mounted displays to enable collaboration and more natural mappings with the real world. Using this toolkit, this visualization technology allows a novel approach to explore hundreds of millions of data points in order to find insights, trends, patterns over significant periods of time and geographic space. The focus of our development uses open data sets, which maximizes applications to assessing the performance of networks of cities worldwide. The city of Sydney, Australia is used as our initial application. It showcases a real-world example of this application enabling analysis of the transport network performance over the past twelve months.
HoloCity——探索增强现实城市景观的使用,以协同理解大量城市传感器数据
本研究提出了一种应用程序,用于使用微软HoloLens或任何等效硬件,在增强现实(AR)中可视化现实世界的城市景观和大规模交通网络性能数据集。这与不断发展的全球智慧城市运动和行业中的众多新兴应用相结合。具体来说,这个应用程序旨在解决实时和聚合城市数据馈送的可视化问题,比如天气、交通和社交媒体馈送。该软件以可扩展的方式开发,它能够覆盖来自多个来源的各种历史和实时数据集。计算机图形学、数据处理和可视化的进步使我们能够将这些可视化工具与更详细、纵向、大规模的性能数据集结合起来,为城市规划者、决策者和市民提供全面、有用的可视化分析形式。此外,它允许我们在HoloLens和其他头戴式显示器等新界面中显示这些内容,从而实现与现实世界的协作和更自然的映射。使用这个工具包,这种可视化技术允许一种新颖的方法来探索数以亿计的数据点,以便在重要的时间和地理空间中找到见解、趋势和模式。我们的开发重点是使用开放数据集,最大限度地利用应用程序来评估全球城市网络的性能。澳大利亚的悉尼市作为我们的初始应用。它展示了该应用程序的一个真实示例,该应用程序支持对过去12个月的传输网络性能进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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