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Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems

机译:客座社论特刊,关于从智能交通系统的移动性数据中发现知识

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摘要

The recent technological advances on telecommunications create a new reality on mobility sensing. Nowadays, we live in an era where ubiquitous digital devices are able to broadcast rich information about human mobility in real-time and at a high rate. Such fact exponentially increased the availability of large-scale mobility data which has been popularized in the media as the new currency, fueling the future vision of our smart cities that will transform our lives. The reality is that we just began to recognize significant research challenges across a spectrum of topics. Consequently, there is an increasing interest among different research communities (ranging from civil engineering to computer science) and industrial stakeholders on building knowledge discovery pipelines over such data sources. However, such availability also raises privacy issues that must be considered by both industrial and academic stakeholders on using these resources.
机译:电信领域的最新技术进步为移动感测创造了一个新的现实。如今,我们生活在一个时代,无处不在的数字设备能够实时,高速率地广播有关人类移动性的丰富信息。这一事实成倍地增加了大规模出行数据的可用性,大规模出行数据已在媒体中作为新货币被普及,从而推动了智慧城市的未来愿景,它将改变我们的生活。现实情况是,我们才刚刚开始认识到跨多个主题的重大研究挑战。因此,不同的研究社区(从土木工程到计算机科学)和工业利益相关者之间对建立基于此类数据源的知识发现管道的兴趣日益浓厚。但是,这种可用性还引发了隐私问题,工业和学术利益相关者在使用这些资源时都必须考虑这些问题。

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