Visconti Paolo, Rausa Giuseppe, Del-Valle-Soto Carolina, Velázquez Ramiro, Cafagna Donato, De Fazio Roberto
Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy.
Facultad de Ingeniería, Universidad Panamericana, Zapopan 45010, Mexico.
Sensors (Basel). 2025 Jan 19;25(2):562. doi: 10.3390/s25020562.
In recent years, the growing number of vehicles on the road have exacerbated issues related to safety and traffic congestion. However, the advent of the Internet of Vehicles (IoV) holds the potential to transform mobility, enhance traffic management and safety, and create smarter, more interconnected road networks. This paper addresses key road safety concerns, focusing on driver condition detection, vehicle monitoring, and traffic and road management. Specifically, various models proposed in the literature for monitoring the driver's health and detecting anomalies, drowsiness, and impairment due to alcohol consumption are illustrated. The paper describes vehicle condition monitoring architectures, including diagnostic solutions for identifying anomalies, malfunctions, and instability while driving on slippery or wet roads. It also covers systems for classifying driving style, as well as tire and emissions monitoring. Moreover, the paper provides a detailed overview of the proposed traffic monitoring and management solutions, along with systems for monitoring road and environmental conditions, including the sensors used and the Machine Learning (ML) algorithms implemented. Finally, this review also presents an overview of innovative commercial solutions, illustrating advanced devices for driver monitoring, vehicle condition assessment, and traffic and road management.
近年来，道路上车辆数量的不断增加加剧了与安全和交通拥堵相关的问题。然而，车联网（IoV）的出现有望改变出行方式，加强交通管理与安全，并创建更智能、互联性更强的道路网络。本文探讨了关键的道路安全问题，重点关注驾驶员状态检测、车辆监控以及交通和道路管理。具体而言，文中阐述了文献中提出的用于监测驾驶员健康状况以及检测因饮酒导致的异常、困倦和机能受损的各种模型。本文描述了车辆状态监测架构，包括用于识别在湿滑路面行驶时的异常、故障和不稳定情况的诊断解决方案。它还涵盖了驾驶风格分类系统以及轮胎和排放监测。此外，本文详细概述了所提出的交通监测和管理解决方案，以及用于监测道路和环境状况的系统，包括所使用的传感器和实施的机器学习（ML）算法。最后，本综述还介绍了创新的商业解决方案，展示了用于驾驶员监测、车辆状态评估以及交通和道路管理的先进设备。
