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Beacon-based context-aware architecture for crowd sensing public transportation scheduling and user habits

机译：基于信标的上下文感知架构，用于人群传感公共交通安排和用户习惯

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Abstract: Crowd sourcing and sensing are relatively recent paradigms that, enabled by the pervasiveness of mobile devices, allow users to transparently contribute in complex problem solving. Their effectiveness depends on people voluntarism, and this could limit their adoption. Recent technologies for automating context-awareness could give a significant impulse to spread crowdsourcing paradigms. In this paper, we propose a distributed software system that exploits mobile devices to improve public transportation efficiency. It takes advantage of the large number of deployed personal mobile devices and uses them as both mule sensors, in cooperation with beacon technology for geofecing, and clients for getting information about bus positions and estimated arrival times. The paper discusses the prototype architecture, its basic application for getting dynamic bus information, and the long-term scope in supporting transportation companies and municipalities, reducing costs, improving bus lines, urban mobility and planning.
机译：摘要：人群采购和传感是相对近期的范式，即通过移动设备的普及，使用户能够在复杂的问题解决方面透明地贡献。他们的有效性取决于人们的自愿主义，这可能会限制他们的收养。最近用于自动化背景感知的技术可能会产生显着的冲动，以传播众包范式。在本文中，我们提出了一种分布式软件系统，利用移动设备来提高公共交通效率。它利用了大量部署的个人移动设备，并将它们与Mule传感器一起使用，与GeoCon技术合作，以及用于获取有关总线位置和估计到达时间的客户的客户。本文讨论了原型架构，其基本申请获得动态总线信息，以及支持运输公司和市政当局的长期范围，降低成本，提高公交线路，城市移动和规划。

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