Measure It Yourself - Why Smart Cities Need Custom Weather Data Sources

Raphaela Erbel, Philipp Brune
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引用次数: 1

Abstract

Smart city applications could help to improve citizens’ well-being, health and mobility by providing, e.g., intelligent recommendations for personalized leisure activities and transport options in urban areas. One important factor that influences peoples’ choices and behavior is the weather. Hence, accurate data are needed for making reliable predictions. Those weather data may be obtained either from publicly available open data services or measured by a custom sensor network. Despite the importance of weather data, the advantages and disadvantages of both approaches have not been studied systematically so far. Therefore, in this paper the design and implementation of a custom sensor network and results from its comparative evaluation with open weather data within a field experiment in a German city will be presented. Results indicate that for adequate accounting of local weather deviations (i.e. micro weather) within a city or urban area, public data services might not be sufficient and a custom sensor network should be implemented.
测量它自己-为什么智能城市需要自定义天气数据源
智慧城市应用可以通过提供个性化休闲活动和城市地区交通选择等智能建议,帮助改善市民的福祉、健康和流动性。影响人们选择和行为的一个重要因素是天气。因此,做出可靠的预测需要准确的数据。这些天气数据可以从公开可用的开放数据服务获得,也可以由自定义传感器网络测量。尽管天气数据很重要,但到目前为止,这两种方法的优缺点尚未得到系统的研究。因此,本文将介绍自定义传感器网络的设计和实现,以及其与德国城市野外实验中开放天气数据的比较评估结果。结果表明,要充分考虑城市或城市地区的当地天气偏差(即微天气),公共数据服务可能不够,应实施自定义传感器网络。
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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