TA-Dash:用于时空交通分析的交互式仪表板

Nicolas Tempelmeier, Anzumana Sander, U. Feuerhake, Martin Löhdefink, Elena Demidova
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引用次数: 2

摘要

近年来,大量的研究工作旨在开发机器学习模型来预测复杂的时空移动模式及其对道路交通和基础设施的影响。然而,由于缺乏可访问的用户界面来查看和分析预测结果,这些模型的效用经常被削弱。在本文中,我们介绍了交通分析仪表板(TA-Dash),这是一个交互式仪表板,可以将复杂的时空城市交通模式可视化。我们以最近提出的两个用于城市交通和城市道路基础设施分析的时空模型为例,展示了TA-Dash的实用性。特别是,用例包括分析、预测和可视化计划中的特殊事件对城市道路交通的影响,以及分析和可视化城市道路网络中的结构依赖关系。轻量级的TA-Dash仪表盘旨在解决参与城市交通管理和移动服务规划的非专业用户。TA-Dash建立在一个灵活的基于层的架构上,很容易适应新模型的可视化。
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TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics
In recent years, a large number of research efforts aimed at the development of machine learning models to predict complex spatial-temporal mobility patterns and their impact on road traffic and infrastructure. However, the utility of these models is often diminished due to the lack of accessible user interfaces to view and analyse prediction results. In this paper, we present the Traffic Analytics Dashboard (TA-Dash), an interactive dashboard that enables the visualisation of complex spatial-temporal urban traffic patterns. We demonstrate the utility of TA-Dash at the example of two recently proposed spatial-temporal models for urban traffic and urban road infrastructure analysis. In particular, the use cases include the analysis, prediction and visualisation of the impact of planned special events on urban road traffic as well as the analysis and visualisation of structural dependencies within urban road networks. The lightweight TA-Dash dashboard aims to address non-expert users involved in urban traffic management and mobility service planning. The TA-Dash builds on a flexible layer-based architecture that is easily adaptable to the visualisation of new models.
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