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People Counting in a Public Event—Use Case: Free-to-Ride Bus

机译:公共活动中的人数计数-用例:免费乘车

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In the case of traditional bus travel, there are many ways to gather statistics on bus passengers. Paid tickets can directly contain information about the stop at which the passengers came aboard and where they got off. Alternatively, stamping or reading travel cards can be used to obtain similar statistics. In the case of a free-to-ride bus service, these simple methods are generally not available. Yet, for further route and capacity planning, producing exact - or at least informative - statistics is crucial. This paper presents a real-life use case of collecting statistics about bus passengers on a free-to-ride bus route at a large public event in the summer of 2018 in Pori, Finland. The use case utilized cost-effective and off-the-shelf components such as the Raspberry Pi 3 computer, position sensors, cameras, and the Open Source Computer Vision Library version 3. The hardware and software components of the system, which was based on image analysis and shape detection, as well the results of the study, are explained in this paper. Furthermore, this paper presents a discussion on the challenges faced while developing and implementing the system.
机译:对于传统的公共汽车旅行,有很多方法可以收集有关公共汽车乘客的统计信息。付费票可以直接包含有关乘客上车站和下车地点的信息。或者,可以使用盖章或读取旅行卡来获得类似的统计信息。在搭便车服务的情况下,通常无法使用这些简单的方法。然而,对于进一步的路线和容量规划,至关重要的是生成准确的(或至少提供信息性的)统计信息。本文介绍了一个真实的用例,该用例是在2018年夏季在芬兰波里举行的一次大型公共活动中收集搭便车路线上公共汽车乘客的统计信息的。该用例利用了具有成本效益的现成组件,例如Raspberry Pi 3计算机,位置传感器,相机和开源计算机视觉库版本3。该系统的硬件和软件组件基于本文介绍了图像分析和形​​状检测以及研究结果。此外,本文还讨论了在开发和实施该系统时面临的挑战。

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