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

机译:人们在公共事件用途案例中计算:自由到乘坐巴士

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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:在传统巴士旅行的情况下,有很多方法可以收集巴士乘客的统计数据。付费门票可以直接包含有关乘客上市的停留情况的信息以及他们下车的地方。或者,冲压或读取旅行卡可用于获得类似的统计数据。在自由驾驶巴士服务的情况下,这些简单的方法通常不可用。然而,对于进一步的路线和能力规划,产生精确或至少提供信息 - 统计至关重要。本文介绍了在2018年夏季在芬兰·芬兰的一场大型公共场所收集有关公共汽车乘客的公共汽车乘客统计数据的真实用例。用例利用成本效益和现成的组件,如覆盆子PI 3计算机,位置传感器,摄像机和开源计算机视觉库版本3.系统的硬件和软件组件是基于的本文解释了图像分析和形​​状检测,以及研究结果。此外,本文讨论了在制定和实施系统时面临的挑战。

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