智能城市交通系统的高效数据管理

Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems Pub Date : 2021-01-22 DOI:10.1145/3459609.3460527

Michael Wilbur, Philip Pugliese, Aron Laszka, A. Dubey

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引用次数: 2

摘要

现代智慧城市交通应用的基础是大规模、多元、时空数据流。处理这些数据提出了数据管理、处理和表示方面的独特挑战，而这些挑战往往被研究人员所忽视。因此，在这项工作中，我们提出了一个集成的数据管理和处理框架，用于我们的合作伙伴交通机构目前使用的智能城市交通系统。我们讨论了可用的数据源，并概述了基于开源发布-订阅和NoSQL数据存储的以云为中心的数据管理和流处理架构。然后，我们描述了我们的数据完整性监测方法。然后，我们展示了一组为我们的运输机构合作伙伴设计的可视化仪表板。最后，我们讨论了这些工具目前如何用于使用这些工具的人工智能驱动的城市交通应用程序。

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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Efficient Data Management for Intelligent Urban Mobility Systems

Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams. Working with this data presents unique challenges of data management, processing and presentation that is often overlooked by researchers. Therefore, in this work we present an integrated data management and processing framework for intelligent urban mobility systems currently in use by our partner transit agencies. We discuss the available data sources and outline our cloud-centric data management and stream processing architecture built upon open-source publish-subscribe and NoSQL data stores. We then describe our data-integrity monitoring methods. We then present a set of visualization dashboards designed for our transit agency partners. Lastly, we discuss how these tools are currently being used for AI-driven urban mobility applications that use these tools.

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Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems

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