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Towards Total Traffic Awareness

机译:全面提高交通意识

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摘要

A combination of factors render the transportation sector a highly desirable area for data management research. The transportation sector receives substantial investments and is of high societal interest across the globe. Since there is limited room for new roads, smarter use of the existing infrastructure is of essence. The combination of the continued proliferation of sensors and mobile devices with the drive towards open data will result in rapidly increasing volumes of data becoming available. The data management community is well positioned to contribute to building a smarter transportation infrastructure. We believe that efficient management and effective analysis of big transportation data will enable us to extract transportation knowledge, which will bring significant and diverse benefits to society. We describe the data, present key challenges related to the extraction of thorough, timely, and trustworthy traffic knowledge to achieve total traffic awareness, and we outline services that may be enabled. It is thus our hope that the paper will inspire data management researchers to address some of the many challenges in the transportation area.
机译:综合考虑因素,交通运输业成为数据管理研究的理想领域。运输行业获得了大量投资,并且在全球范围内引起了广泛的社会关注。由于新建道路的空间有限,因此更明智地使用现有基础设施至关重要。传感器和移动设备的持续增长与对开放数据的追求相结合,将导致可用数据量迅速增加。数据管理社区处于有利位置,可以为建设更智能的交通基础设施做出贡献。我们相信,对大运输数据的有效管理和有效分析将使我们能够提取运输知识,这将为社会带来重大而多样的利益。我们描述数据,提出与全面,及时和可信赖的交通知识的提取有关的主要挑战,以实现总体交通意识,并概述可以启用的服务。因此,我们希望本文能够激发数据管理研究人员应对运输领域中许多挑战中的一些挑战。

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  • 来源
    《SIGMOD record》 |2014年第3期|18-23|共6页
  • 作者单位

    Department of Computer Science, Aarhus University, Denmark;

    Department of Computer Science, Aalborg University, Denmark;

    Department of Computer Science, Aarhus University, Denmark;

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