论文标题
基于城市地区的洛万（Lorawan）的低成本交通传感系统
Low-Cost Traffic Sensing System Based on LoRaWAN for Urban Areas
论文作者
论文摘要
低功率广泛区域网络（LPWAN）的出现使无线传感器网络在整个城市地区的环境交通传感方面具有可行性。在这项研究中，我们探讨了Lorawan End节点作为交通传感传感器的使用，以提供实用的交通管理解决方案。报告了受监视的接收信号强度指标（RSSI）因子并在网关中使用，以评估环境的流量。我们的技术利用Lorawan作为远程通信技术来提供LargesCale系统。在这项工作中，我们提出了一种使用Lorawan设备来估计交通流的方法。 Lorawan End设备然后将数据包传输到不同的网关。他们的RSSI将受到道路上现有的汽车数量的影响。我们使用SVM和聚类方法来分类存在的汽车数量。本文详细介绍了我们在该系统在城市场景中延伸数英里的地区的设计和实际实施的经验。我们在不同的网关上连续测量并报告了RSSI数周。结果表明，如果将Lorawan端节点放置在最佳位置，则可以获得多达96％的正确环境交通水平检测。此外，我们分享L
The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of wireless sensor networks for environmental traffic sensing across urban areas. In this study, we explore the usage of LoRaWAN end nodes as traffic sensing sensors to offer a practical traffic management solution. The monitored Received Signal Strength Indicator (RSSI) factor is reported and used in the gateways to assess the traffic of the environment. Our technique utilizes LoRaWAN as a long-range communication technology to provide a largescale system. In this work, we present a method of using LoRaWAN devices to estimate traffic flows. LoRaWAN end devices then transmit their packets to different gateways. Their RSSI will be affected by the number of cars present on the roadway. We used SVM and clustering methods to classify the approximate number of cars present. This paper details our experiences with the design and real implementation of this system across an area that stretches for miles in urban scenarios. We continuously measured and reported RSSI at different gateways for weeks. Results have shown that if a LoRaWAN end node is placed in an optimal position, up to 96% of correct environment traffic level detection can be obtained. Additionally, we share the l
