Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, 29071 Malaga, Spain.
Sensors (Basel). 2022 Aug 31;22(17):6585. doi: 10.3390/s22176585.
Human tracking and traffic monitoring systems are required to build advanced intelligent, innovative mobility services. In this study, we introduce an IoT system based on low-cost hardware that has been installed on the campus of the University of Malaga, in Spain. The sensors gather smart wireless devices (Bluetooth and Wi-Fi) anonymous information and environmental noise level around them. This research studies the spatio-temporal behavior of people and noise pollution in the campus as a short-scale Smart City, i.e., a Smart Campus. Applying specific machine learning algorithms, we have analyzed two months of captured data (61 days). The main findings from the analysis show that most university community members move through the campus at similar hours, generating congestion problems. In addition, the campus suffers from acoustic pollution according to regulations; therefore, we conclude that the proposed system is useful for gathering helpful information for the university community members and managers. Thanks to its low cost, it can be easily extended and even used in other similar environments, allowing democratic access to Smart City services as an excellent added value.
人类跟踪和交通监控系统是构建先进智能、创新移动服务所必需的。在这项研究中，我们介绍了一个基于低成本硬件的物联网系统，该系统已安装在西班牙马拉加大学的校园内。传感器收集智能无线设备（蓝牙和 Wi-Fi）的匿名信息以及周围的环境噪声水平。这项研究以短尺度智慧城市（即智能校园）的形式研究了校园内人员和噪声污染的时空行为。通过应用特定的机器学习算法，我们分析了两个月的捕获数据（61 天）。分析的主要结果表明，大多数大学社区成员在相似的时间在校园内移动，产生拥堵问题。此外，根据规定，校园受到噪声污染；因此，我们得出结论，所提出的系统有助于为大学社区成员和管理人员收集有用信息。由于其低成本，它可以很容易地扩展，甚至可以在其他类似环境中使用，为智慧城市服务提供民主访问，这是一个极好的附加值。
