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 …
for road users in order to improve traffic efficiency, mobility and safety. This aspect of safety …
Leveraging vehicular communications in automatic vrus accidents detection
As technology advances on the field of Vehicular Ad hoc Networks (VANETs), there is a
growing concern within the research community regarding the safety of the the Vulnerable …
growing concern within the research community regarding the safety of the the Vulnerable …
Machine learning-based trajectory prediction for vru collision avoidance in v2x environments
The fifth generation (5G) of communication networks aims to accelerate the adoption of
incipient vertical industries which will leverage innovative smart applications and services …
incipient vertical industries which will leverage innovative smart applications and services …
Enhancing road safety through advanced predictive analytics in V2X communication networks
FAM Al-Yarimi - Computers and Electrical Engineering, 2024 - Elsevier
Abstract" SafeRouteX," which stands for" Enhancing Road Safety through Advanced
Predictive Analytics in V2X Communication Networks," is a novel approach to Vehicle-to …
Predictive Analytics in V2X Communication Networks," is a novel approach to Vehicle-to …
Enhancing intersection traffic safety utilizing V2I communications: design and evaluation of machine learning based framework
In recent years, improving intersection traffic safety has become a major focus for
researchers. However, it remains a significant concern due to the increasing number of …
researchers. However, it remains a significant concern due to the increasing number of …
A sensing, communication and computing approach for vulnerable road users safety
Most fatal road accidents in urban areas involve vulnerable road users. New solutions for
fighting against these accidents can be considered by leveraging connected, intelligent …
fighting against these accidents can be considered by leveraging connected, intelligent …
[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …
countries anticipating their inclusion in public transport networks in the coming years. Safety …
Machine learning-based Road Safety Prediction Strategies for Internet of vehicles (IoV) enabled vehicles: A systematic literature review
KR Reddy, A Muralidhar - IEEE Access, 2023 - ieeexplore.ieee.org
This systematic literature review aims to investigate the current state-of-the-art in machine
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
Effective safety message dissemination with vehicle trajectory predictions in V2X networks
H Li, F Liu, Z Zhao, M Karimzadeh - Sensors, 2022 - mdpi.com
Exploring data connection information from vehicle-to-vehicle (V2V) and vehicle-to-
infrastructure (V2I) communications using advanced machine learning approaches, an …
infrastructure (V2I) communications using advanced machine learning approaches, an …
Enhancing vulnerable road user safety: a survey of existing practices and consideration for using mobile devices for V2X connections
Vulnerable road users (VRUs) such as pedestrians, cyclists and motorcyclists are at the
highest risk in the road traffic environment. Globally, over half of road traffic deaths are …
highest risk in the road traffic environment. Globally, over half of road traffic deaths are …