Bluetooth Low Energy based Dataset for Smartphone localization in moving vehicles for electronic toll collection.

The collected Dataset presents a data collection based on Bluetooth Low Energy (BLE) technology and the use of smartphones for the purposes of vehicle localization and tracking. The system is based on a two-dimensional 8 switched-beam directive panel antennas mounted on an electronic toll collection (ETC) gateway. The multibeam antenna topology is installed on the ETC at a height of 4.7 m and the data collected from several experiments, together with the set-up and methodology, are reported here. The data collection can be divided into two main sections. First, the system was calibrated in an 8 x 8 meter area below the ETC. The distance between adjacent test points is 0.5 m, with a total of 100 samples measured for each test point in every 8 switched-beam panel antenna. Secondly, the results of dynamic test with vehicles passing at different speeds carrying smartphones and using BLE are detailed. As a validation of the dataset, a benchmark analysis for data visualization and localization/tracking estimation applying MUltiple SIgnal Classification and fingerprinting algorithms is included.本数据集依托低功耗蓝牙（Bluetooth Low Energy, BLE）技术与智能手机设备采集得到，用于车辆定位与追踪场景。该系统搭载于电子不停车收费（Electronic Toll Collection, ETC）门架之上，采用二维8波束切换定向平板天线阵列。该多波束天线阵列部署于4.7米高的ETC门架处，本数据集收录了多组实验采集的数据，以及实验搭建方案与研究方法。本次数据集分为两大主要部分：其一，系统在ETC门架下方的8×8米区域内完成校准，相邻测试点间距为0.5米，每台8波束切换平板天线针对每个测试点采集共计100组样本数据；其二，本数据集详细记录了搭载智能手机、基于BLE技术的车辆以不同车速通行时的动态测试结果。为验证本数据集的有效性，本研究还纳入了采用多重信号分类（Multiple Signal Classification, MUSIC）与指纹定位算法开展的数据可视化、定位/追踪估计的基准分析。