Reconfigurable intelligent surfaces enabled vehicular communications: A comprehensive survey of recent advances and future challenges

M Deng, M Ahmed, A Wahid, AA Soofi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This survey explores the transformative role of reconfigurable intelligent surface (RIS)
technologies in vehicular communication systems. It begins by introducing key RIS concepts …

[HTML][HTML] Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and …

P Visconti, G Rausa, C Del-Valle-Soto, R Velázquez… - Sensors, 2025 - mdpi.com
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) …

[PDF][PDF] Advanced driver assistance systems road accident data insights: Uncovering trends and risk factors

J Okpono, J Asedegbega, M Ogieva… - … International Journal of …, 2024 - researchgate.net
Advanced Driver Assistance Systems (ADAS) have enhanced automotive safety by reducing
driver errors and preventing accidents. This study analyzes the impact of ADAS on road …

The evolution of cybersecurity in self-driving cars: insights from bibliometric research

M Dias Lousã, H Teixeira… - International Journal of …, 2025 - emerald.com
Purpose This study aims to investigate the evolution of cybersecurity in autonomous
vehicles over the past decade, focusing on influential publications, leading authors, key …

RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES

P Jamjuntr, C Techawatcharapaikul… - Operational Research in …, 2024 - oresta.org
This paper proposes an intelligent headlight management system for Electric vehicles (EVs)
based on an adaptive Q-learning framework that considers enhancing safety and reducing …

Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning.

AK Al Hwaitat, HN Fakhouri… - … of Interactive Mobile …, 2024 - search.ebscohost.com
In light of the increasing sophistication and frequency of mobile attacks, there is a growing
demand for advanced intelligent techniques capable of offering comprehensive mobile …

Optimizing Intersection Design: Insights from Older Drivers' Physiological Responses and Gap Acceptance Behavior at Signalized Left Turns

S Srinivasan, A Singh, H Lee, S Abdalla… - IEEE …, 2024 - ieeexplore.ieee.org
Aging populations pose significant challenges for transportation safety at complex
intersections. This study investigated gap acceptance behavior of older drivers at left-turn …

Dynamic Game-Theoretical Decision-Making Framework for Vehicle-Pedestrian Interaction with Human Bounded Rationality

M Dang, D Zhao, Y Wang, C Wei - arxiv preprint arxiv:2409.15629, 2024 - arxiv.org
Human-involved interactive environments pose significant challenges for autonomous
vehicle decision-making processes due to the complexity and uncertainty of human …

A Review: State-of-the-Art of Integrating AI Models with Moving-target Defense for Enhancing IoT Networks Security

A Hamada, SM Hassan, S Samy… - 2024 IEEE 15th …, 2024 - ieeexplore.ieee.org
The rapid proliferation of IoT devices across various sectors has significantly expanded the
attack surface for cyber threats. Traditional security strategies, which rely on static defenses …

A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem

H Yuan, A Raza, N Matyunin, J Patra, S Li - arxiv preprint arxiv …, 2024 - arxiv.org
The development of technologies has prompted a paradigm shift in the automotive industry,
with an increasing focus on connected services and autonomous driving capabilities. This …