A vehicle-based edge computing platform for transit and human mobility analytics
A vehicle-based edge computing platform for transit and human mobility analytics
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DOI：
10.1145/3132211.3134446
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发表时间：
2017-10
期刊：
影响因子：
--
通讯作者：
Bozhao Qi;Lei Kang;Suman Banerjee
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文献类型：
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作者：
Bozhao Qi;Lei Kang;Suman Banerjee
本文介绍了 Trellis——一种基于 Wi-Fi 的低成本车辆监控和跟踪系统，可以被动地观察移动设备并提供有关车辆内外人员的各种分析，从而可以在城市范围内获得有趣的人口洞察。我们的系统运行在基于车辆的边缘计算平台上，是一种补充机制，允许运营商收集各种信息，例如受乘客欢迎的原始目的地车站、车辆占用情况、行人活动趋势等。为了进行大部分分析，我们开发了简单但有效的算法，通过利用一些上下文信息来确定哪个设备实际上位于车辆内部（或外部）。虽然我们当前的系统无法提供准确的乘客和行人的实际数量，但我们预计从分析的角度来看，相对数量和总体趋势相当有用。经过十个月的时间，我们在基于车辆的边缘计算平台上部署了 Trellis，并收集了跨越多条公交路线的超过 30,000 英里的旅行数据。通过将我们的技术与公交时刻表和天气信息相结合，我们提供了跨多个方面的多样化人员流动分析——交通系统中乘客的活动趋势；城市街道上的行人趋势；以及温度和天气等外部因素如何影响人类户外活动。这些观察结果证明了 Trellis 在建议设置中的有用性。
This paper introduces Trellis --- a low-cost Wi-Fi-based in vehicle monitoring and tracking system that can passively observe mobile devices and provide various analytics about people both within and outside a vehicle which can lead to interesting population insights at a city scale. Our system runs on a vehicle-based edge computing platform and is a complementary mechanism which allows operators to collect various information, such as original-destination stations popular among passengers, occupancy of vehicles, pedestrian activity trends, and more. To conduct most of our analytics, we develop simple but effective algorithms that determine which device is actually inside (or outside) of a vehicle by leveraging some contextual information. While our current system does not provide accurate actual numbers of passengers and pedestrians, we expect the relative numbers and general trends to be fairly useful from an analytics perspective. We have deployed Trellis on a vehicle-based edge computing platform over a period of ten months, and have collected more than 30,000 miles of travel data spanning multiple bus routes. By combining our techniques, with bus schedule and weather information, we present a varied human mobility analysis across multiple aspects --- activity trends of passengers in transit systems; trends of pedestrians on city streets; and how external factors, e.g., temperature and weather, impact human outdoor activities. These observations demonstrate the usefulness of Trellis in proposed settings.