Monitoring operations at freight intermodal terminals are useful for estimating their performance, while collecting traffic data allows them to properly manage and control truck flows. Nevertheless, the key role of observation can be in contrast with users’ privacy. A valuable solution to obtain traffic information preserving players’ anonymity may be provided by scanning radio signals emitted by commonly used on-board devices, which can be locally identified by their unique media access control address. In this solution, no personal, freight or vehicle information is collected. An uncommon application of bluetooth scanners for monitoring operation of truck flows inside terminals is presented, based on a simple methodology for data processing. The algorithm starts from the data collection and the selection of information at relevant points of the terminal, then the network observation is composed by matching the data recorded in connected points. Finally, key performance indicators are estimated, starting from vehicle trajectories, node by node, and their travel time. The method is applied with on-field tests in a large-size rail–road terminal, where the detected counting results are lower than the ground truth, being not all the users equipped with bluetooth devices; however, the pioneering application results replicable in other contexts related to logistics.

中文翻译：

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在货运联运码头监控卡车的运行：通过扫描车载设备进行交通观察

监视货运联运码头的运行状况对于评估其性能非常有用，同时收集交通数据可以使他们正确地管理和控制卡车的流量。但是，观察的关键作用可能与用户的隐私形成对比。可以通过扫描常用机载设备发出的无线电信号来提供一种获取保留玩家交通信息的有价值的解决方案，该信号可以通过其唯一的媒体访问控制地址在本地进行标识。在此解决方案中，不会收集任何个人，货运或车辆信息。基于一种简单的数据处理方法，介绍了一种蓝牙扫描仪在监控终端内卡车流量运行中的不常见应用。该算法从终端相关点的数据收集和信息选择开始，然后通过匹配记录在连接点的数据组成网络观察。最后，从车辆轨迹，逐节点及其行驶时间开始，估算关键性能指标。该方法在大型铁路枢纽中进行了现场测试，检测到的计数结果低于地面真实情况，并非所有用户都配备了蓝牙设备。但是，开创性的应用程序结果可在与物流相关的其他环境中复制。该方法在大型铁路枢纽中进行了现场测试，检测到的计数结果低于地面真实情况，并非所有用户都配备了蓝牙设备。但是，开创性的应用程序结果可在与物流相关的其他环境中复制。该方法在大型铁路枢纽中进行了现场测试，检测到的计数结果低于地面真实情况，并非所有用户都配备了蓝牙设备。但是，开创性的应用程序结果可在与物流相关的其他环境中复制。