An Intelligent Path Loss Prediction Approach based on Integrated Sensing and Communications for Future Vehicular Networks
The developments of communication technologies, Internet of Things (IoT), and Artificial
Intelligence (AI) have significantly accelerated the advancement of Intelligent Transportation …
Intelligence (AI) have significantly accelerated the advancement of Intelligent Transportation …
A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks
The efficient and smooth operation of the transportation system is crucial for ensuring the
normal functioning of modern society and people's daily lives. However, the increase in …
normal functioning of modern society and people's daily lives. However, the increase in …
Learning-Based Road Link Quality Estimation for Intelligent Alert-Message Dissemination
R Chakroun, T Villemur - Journal of Communications Software and …, 2024 - hrcak.srce.hr
Sažetak Accurately assessing the quality of road links is essential for effectively sharing
critical messages in dynamic vehicular network environments. Unfortunately, existing …
critical messages in dynamic vehicular network environments. Unfortunately, existing …
Fusing diverse input modalities for path loss prediction: A deep learning approach
Tabular data and images have been used from machine learning models as two diverse
types of inputs, in order to perform path loss predictions in urban areas. Different types of …
types of inputs, in order to perform path loss predictions in urban areas. Different types of …
Deep learning-based path loss prediction for fifth-generation new radio vehicle communications
Fifth-generation (5G) technology is rapidly spreading to vehicle-to-vehicle (V2V)
communication, which requires high reliability, high data transmission rate, and low latency …
communication, which requires high reliability, high data transmission rate, and low latency …
Learning-Based Infrastructure To Vehicle Link Quality Estimation
R Chakroun, T Villemur… - … Conference on Software …, 2023 - ieeexplore.ieee.org
Timely and up-to-date information about road link quality is essential for the efficient and
reliable dissemination of urgent messages in dynamic vehicular network environments …
reliable dissemination of urgent messages in dynamic vehicular network environments …
A method to predict travel time in large-scale urban areas using Vehicular Networks
M Fathy, M Mohammadi - Proceedings of the international conference on …, 2018 - dl.acm.org
The suggestion of route with shortest travel time avoids unnecessary traveling by cars.
Achieving this goal not only reduces air pollution, but also it saves time and money. In recent …
Achieving this goal not only reduces air pollution, but also it saves time and money. In recent …
DACON: A novel traffic prediction and data-highway-assisted content delivery protocol for intelligent vehicular networks
Nowadays, to deal with driving safety-related issues and improve travel comfort, the
VehiculAr NETwork (VANET) has gained tremendous attention from researchers in both …
VehiculAr NETwork (VANET) has gained tremendous attention from researchers in both …
Hybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data
J Xie, YK Choi - International Journal of Distributed Sensor …, 2017 - journals.sagepub.com
Traffic prediction in smart cities is an essential way for intelligent transportation system. The
objective of this article is designing and implementing a traffic prediction scheme which can …
objective of this article is designing and implementing a traffic prediction scheme which can …
Intelligent path loss prediction engine design using machine learning in the urban outdoor environment
Due to the progressive expansion of public mobile networks and the dramatic growth of the
number of wireless users in recent years, researchers are motivated to study the radio …
number of wireless users in recent years, researchers are motivated to study the radio …