The Potential of New Data Sources in a Data-Driven Transportation, Operation, Management and Assessment System (TOMAS)

F. A. Uy, L. Vea, M. G. Binag, K. Diaz, Roy G. Gallardo, Kevin Jorge A. Navarro, Maria Teresa R. Pulido, Ryan Christopher B. Pinca, Billy John Rudolfh I. Rejuso, C. Santos
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引用次数: 1

Abstract

We present our journey in constructing the first integrated data warehouse for Philippine transportation research in the hopes of developing a Transportation Decision Support System for impact studies and policy making. We share how we collected data from diverse sources, processed them into a homogeneous format and applied them to our multimodal platform. We also list the challenges we encountered, including bureaucratic delays, data privacy concerns, lack of software, and overlapping datasets. The data warehouse shall serve as a public resource for researchers and professionals, and for government officials to make better-informed policies. The warehouse will also function within our multi-modal platform for measurement, modelling, and visualization of road transportation. This work is our contribution to improve the transportation situation in the Philippines, both in the local and national levels, to boost our economy and overall quality of life.
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数据驱动的运输、运营、管理和评估系统(TOMAS)中新数据源的潜力
本文介绍了我们为菲律宾交通研究建立第一个综合数据仓库的历程,希望开发一个交通决策支持系统,用于影响研究和政策制定。我们分享如何从不同来源收集数据,将其处理成统一的格式,并将其应用于我们的多模式平台。我们还列出了我们遇到的挑战,包括官僚主义延误、数据隐私问题、缺乏软件和重叠的数据集。数据仓库将成为研究人员和专业人员的公共资源,并为政府官员制定更明智的政策提供帮助。该仓库还将在我们的多式联运平台中发挥作用,用于道路运输的测量、建模和可视化。这项工作是我们为改善菲律宾地方和国家层面的交通状况做出的贡献,以促进我们的经济和整体生活质量。
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