通过自动网络观测测量公共交通系统的交通流量

Alexander Gröflin, Mario Weber, M. Guggisberg, H. Burkhart
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引用次数: 2

摘要

当谈到公共交通系统时,延误是一个热门话题。要定量地得出晚点是偶然事件还是经常发生的结论,我们必须相信公共交通公司年报中公布的数字。然而,即使网上有一些数据,如果没有信息技术,也很难独立地检查这些数字。本文提出了一种通过自动Web观察从本地传输操作符提取Web数据的体系结构。通过利用现有的Web基础设施,我们不仅能够收集大量的交通数据,还可以交互式地可视化所有交通单位(公共汽车或有轨电车)。此外,收集网络数据使我们能够提出建议,以便在准确性和精度方面重新评估年度报告的绩效数字。监控关键值有助于识别运输系统的状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic flow measurement of a public transport system through automated Web observation
When it comes down to public transport systems, delays are a hot topic. For a quantitative conclusion whether a delay is just an incident or happens on a regular basis, we have to believe in the figures published in the annual reports of public transport companies. However, even if some data is available online, it is quite hard to independently examine these numbers without information technologies. This paper presents an architecture for extracting Web data from a local transport operator through automated Web observations. By exploiting an already existing Web infrastructure, we are not only able to collect vast amounts of transportation data but may also visualise all transportation units (bus or trams) interactively. Moreover, collecting Web data enables us to make suggestions in order to reassess the performance figures of the annual report in terms of accuracy and precision. Monitoring key values help identifying the state of the transportation system.
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