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  4. Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview
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Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview

Journal
Sensors
ISSN
1424-8220
Publisher
MDPI
Date Issued
2025-01-19
Author(s)
Paolo Visconti
Giuseppe Rausa
Donato Cafagna
Roberto De Fazio
Type
Resource Types::text::journal::journal article
DOI
10.3390/s25020562
URL
https://scripta.up.edu.mx/handle/20.500.12552/11867
Abstract
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.
Subjects

internet of vehicles

intelligent transport...

wearable device

driver monitoring

traffic management

OBD-II

vehicle condition mon...

License
Acceso abierto
URL License
https://creativecommons.org/licenses/by/4.0/
How to cite
Visconti, P., Rausa, G., Del-Valle-Soto, C., Velázquez, R., Cafagna, D., & De Fazio, R. (2025). Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview. Sensors, 25(2), 562. https://doi.org/10.3390/s25020562
Table of contents
Abstract -- 1. Introduction -- 2. On-Board Driver Monitoring Systems for Road Safety Applications -- 2.1. Driver Health Monitoring Systems to Detect Stress, Anxiety, and Other Biophysical Parameters -- 2.2. On-Board Systems for Driver Drowsiness Monitoring -- 2.3. On-Board System for Driver Drunkenness Monitoring -- 2.4. Comparative Analysis of On-Board Driver Monitoring Systems -- 3.1. On-Board Smart Monitoring Systems for Vehicle Diagnosis -- 3.2. Innovative Systems for Detecting Vehicle Instability Behavior While Driving in Adverse Asphalt Conditions (Icy Asphalt, Uneven Asphalt, and Aquaplaning) -- 3.3. Smart Systems for Driver Style and Behavior Monitoring -- 3.4. On-Board Innovative System for Tire Monitoring -- 3.5. Innovative Emissions Monitoring Systems -- 3.6. Comparative Analysis of Smart Monitoring Systems Based on Vehicular Information -- 4. Environmental, Road, and Traffic Conditions Monitoring -- 4.1. Smart Systems for Traffic Monitoring -- 4.2. Off-Board Systems for Road and Environmental Monitoring -- 4.3. Comparative Analysis of Traffic Management and Road Condition Monitoring -- 5. Cutting-Edge Commercial Solutions for Monitoring Vehicle, Driver, and Traffic Conditions -- 5.1. Overview of Commercial Solutions for Driver Condition Monitoring -- 5.2. Overview of Commercial Solutions for Monitoring Vehicle Conditions -- 5.3. Hardware and Software Commercial Solutions for Environmental and Traffic Monitoring -- 6. Challenges and Future Perspectives -- 7. Conclusions.

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