Gil-Martínez Alejandro, Rabadán-Parra Alejandro, Cañete-Rebenaque David, Gómez-Tornero José Luis
Universidad Politécnica de Cartagena, Cartagena, Spain.
Sci Data. 2025 Mar 6;12(1):396. doi: 10.1038/s41597-025-04683-9.
This paper presents a dataset based on Bluetooth Low Energy (BLE) and the use of smartphones for vehicle localization and tracking. An antenna system formed by eight directive panel antennas forming a crossed array is mounted on an electronic toll collection (ETC) gateway, at a height of 4.75 m, facing downwards illuminating a two-lane road. The system was first calibrated in an 8 m × 8 m area below the gateway, measuring the RSSI (Received Signal Strength Indicator) data captured by a smartphone. Then, a second set of data is constructed from different performed tests, in which the RSSI is acquired from a smartphone inside a vehicle which passes below the gateway conducting Stop&Go and 20 Km/h tests. As a validation of the dataset, a benchmark analysis for data visualization and localization/tracking is included, where three different algorithms (amplitude-monopulse comparison, MUltiple SIgnal Classification, and fingerprinting) used the calibrated data to track the location of the smartphone inside the vehicle in the different performed tests.
本文介绍了一个基于低功耗蓝牙(BLE)以及利用智能手机进行车辆定位和跟踪的数据集。一个由八个定向平板天线组成交叉阵列的天线系统安装在电子不停车收费(ETC)网关处,高度为4.75米,向下照射一条双车道道路。该系统首先在网关下方一个8米×8米的区域进行校准,测量由智能手机捕获的接收信号强度指示(RSSI)数据。然后,从不同的测试中构建第二组数据,其中RSSI是从一辆在网关下方通过的车辆内的智能手机获取的,该车辆进行了走走停停和20公里/小时的测试。作为数据集的验证,包含了用于数据可视化和定位/跟踪的基准分析,其中三种不同的算法(幅度单脉冲比较、多重信号分类和指纹识别)使用校准数据在不同的测试中跟踪车辆内智能手机的位置。