An ensemble-based machine learning model for forecasting network traffic in VANET

PAD Amiri, S Pierre - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicular Ad-hoc Networks (VANETs), as the most significant element of the Intelligent
Transportation Systems (ITS), have the potential to enhance traffic efficiency and road safety …

Diversity maximized scheduling in roadside units for traffic monitoring applications

A Sarlak, A Razi, X Chen, R Amin - 2023 IEEE 48th Conference …, 2023 - ieeexplore.ieee.org
This paper develops an optimal data aggregation policy for learning-based traffic control
systems based on imagery collected from Road Side Units (RSUs) under imperfect …

[HTML][HTML] A Q-learning and fuzzy logic-based hierarchical routing scheme in the intelligent transportation system for smart cities

AM Rahmani, RA Naqvi, E Yousefpoor, MS Yousefpoor… - Mathematics, 2022 - mdpi.com
A vehicular ad hoc network (VANET) is the major element of the intelligent transportation
system (ITS). The purpose of ITS is to increase road safety and manage the movement of …

A dynamic trust management model for vehicular ad hoc networks

M Aslan, S Sen - Vehicular Communications, 2023 - Elsevier
Trust management in vehicular ad hoc networks (VANETs) is a challenging dynamic
optimization problem due to their decentralized, infrastructureless, and dynamically …

Modeling and analysis of traffic warning message dissemination system in VANETs

H Ning, Y An, Y Wei, N Wu, C Mu, H Cheng… - Vehicular …, 2023 - Elsevier
As the preferred underpinning technology of intelligent transportation systems (ITS),
vehicular ad hoc networks (VANETs) have been widely used to cope with various traffic …

[HTML][HTML] Using machine learning on v2x communications data for vru collision prediction

B Ribeiro, MJ Nicolau, A Santos - Sensors, 2023 - mdpi.com
Intelligent Transportation Systems (ITSs) are systems that aim to provide innovative services
for road users in order to improve traffic efficiency, mobility and safety. This aspect of safety …

AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks

M Shahbazi, M Simsek, B Kantarci - Ad Hoc Networks, 2023 - Elsevier
Offering in-flight connectivity has emerged as an essential demand for everyday flights. Such
aircraft's high speed and dynamic characteristics make this task challenging, particularly in …

Privacy preserving machine learning for electric vehicles: A survey

AR Sani, MU Hassan, J Chen - arXiv preprint arXiv:2205.08462, 2022 - arxiv.org
In the recent years, the interest of individual users in modern electric vehicles (EVs) has
grown exponentially. An EV has two major components, which make it different from …

Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning

U Arul, R Gnanajeyaraman, A Selvakumar… - Computers and …, 2023 - Elsevier
A significant subset of ubiquitous computing known as vehicular ad hoc networks (VANETs)
serves as a foundational piece of technology for VANET applications. Blockchain technology …

[PDF][PDF] Studying the Relationship between Artificial Intelligence and Digital Advertising in Marketing Strategy

D Sabharwal, RS Sood, M Verma - J. Content Community …, 2022 - researchgate.net
Introduction–Current study examines the relationship between Digital Advertising (DA) and
Artificial Intelligence (AI) and their impact on creating a suitable Marketing Strategy (MS) for …