Instituto de Telecomunicações, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
Departamento de Eletrónica, Telecomunicações e Informática, Instituto de Telecomunicações, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
Sensors (Basel). 2023 Feb 3;23(3):1724. doi: 10.3390/s23031724.
The growth of the automobile industry in recent decades and the overuse of personal vehicles have amplified problems directly related to road safety, such as the increase in traffic congestion and number of accidents, as well as the degradation of the quality of roads. At the same time, and with the contribution of climate change effects, dangerous weather events have become more common on road infrastructure. In this context, Cooperative Intelligent Transport Systems (C-ITS) and Internet of Things (IoT) solutions emerge to overcome the limitations of human and local sensory systems, through the collection and distribution of relevant data to Connected and Automated Vehicles (CAVs). In this paper, an intra- and inter-vehicle sensory data collection system is presented, starting with the acquisition of relevant data present on the Controller Area Network (CAN) bus, collected through the vehicle's On-Board-Diagnostics II (OBD-II) port, as well as on an on-board smartphone device and possibly other additional sensors. Short-range communication technologies, such as Bluetooth Low Energy (BLE), Wi-Fi, and ITS-G5, are employed in conjunction with long-range cellular networks for data dissemination and remote cloud monitoring. The results of the experimental tests allow the analysis of the road environment, as well as the notification in near real-time of adverse road conditions to drivers. The developed data collection system reveals itself as a potentially valuable tool for improving road safety and to iterate on the current Road Weather Models (RWMs).
近几十年来,汽车工业的发展和个人车辆的过度使用加剧了与道路安全直接相关的问题,例如交通拥堵和事故数量的增加,以及道路质量的下降。与此同时,随着气候变化影响的贡献,恶劣的天气事件在道路基础设施上变得更加常见。在这种情况下,协同智能交通系统(C-ITS)和物联网(IoT)解决方案通过收集和分发相关数据来克服人类和本地感知系统的局限性,应用于联网和自动驾驶车辆(CAVs)。在本文中,提出了一种车内和车外传感器数据采集系统,从控制器局域网(CAN)总线上的相关数据采集开始,通过车辆的车载诊断 II(OBD-II)端口、车载智能手机设备以及可能的其他附加传感器进行采集。短距离通信技术,如蓝牙低能(BLE)、Wi-Fi 和 ITS-G5,与远程蜂窝网络结合使用,用于数据分发和远程云监控。实验测试的结果允许对道路环境进行分析,并实时通知驾驶员不利的道路状况。开发的数据采集系统本身就是一种提高道路安全和迭代当前道路天气模型(RWMs)的有价值工具。