Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning

A Ziakopoulos, A Kontaxi, G Yannis - Accident Analysis & Prevention, 2023 - Elsevier
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …

Monitoring distracted driving behaviours with smartphones: an extended systematic literature review

E Papatheocharous, C Kaiser, J Moser, A Stocker - Sensors, 2023 - mdpi.com
Driver behaviour monitoring is a broad area of research, with a variety of methods and
approaches. Distraction from the use of electronic devices, such as smartphones for texting …

Prediction of dangerous driving behavior based on vehicle motion state and passenger feeling using Cloud Model and Elman Neural Network

H Xiang, J Zhu, G Liang, Y Shen - Frontiers in neurorobotics, 2021 - frontiersin.org
Dangerous driving behavior is the leading factor of road traffic accidents; therefore, how to
predict dangerous driving behavior quickly, accurately, and robustly has been an active …

Distracted driver monitoring with smartphones: A preliminary literature review

C Kaiser, A Stocker… - 2021 29th Conference of …, 2021 - ieeexplore.ieee.org
Distracted driving is known to be one of the leading causes of vehicle accidents. With the
increase in the number of sensors available within vehicles, there exists an abundance of …

Machine learning to classify driving events using mobile phone sensors data

Y Alqudah, B Sababha, E Qaralleh, T Yousseff - 2021 - learntechlib.org
With the ever-increasing vehicle population and introduction of autonomous and self-driving
cars, innovative research is needed to ensure safety and reliability on the road. This work …

[PDF][PDF] Embedded machine learning-based road conditions and driving behavior monitoring.

B Mosleh, J Hamdan, BH Sababha… - International Journal of …, 2024 - researchgate.net
Car accident rates have increased in recent years, resulting in losses in human lives,
properties, and other financial costs. An embedded machine learning-based system is …