Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges

MH Alkinani, WZ Khan, Q Arshad - Ieee Access, 2020 - ieeexplore.ieee.org
Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P Fafoutellis, EG Mantouka, EI Vlahogianni - Sustainability, 2020 - mdpi.com
Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning

A Mohammadnazar, R Arvin, AJ Khattak - Transportation research part C …, 2021 - Elsevier
Driving style can substantially impact mobility, safety, energy consumption, and vehicle
emissions. While a range of methods has been used in the past for driving style …

A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles

Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …

Intelligent driver monitoring system: An Internet of Things-based system for tracking and identifying the driving behavior

K Mohammed, M Abdelhafid, K Kamal, N Ismail… - Computer Standards & …, 2023 - Elsevier
One of the most prevalent causes of road accidents is aggressive and irrational driving,
which puts lives and property in danger. To reduce traffic crashes and improve road safety …

Profiling drivers to assess safe and eco-driving behavior–A systematic review of naturalistic driving studies

H Singh, A Kathuria - Accident Analysis & Prevention, 2021 - Elsevier
Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

Cloud-based driver monitoring system using a smartphone

A Kashevnik, I Lashkov, A Ponomarev… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The paper presents an approach and case study of a distributed driver monitoring system.
The system utilizes smartphone sensors for detecting dangerous states for a driver in a …

[HTML][HTML] Smartphone sensing for understanding driving behavior: Current practice and challenges

E Mantouka, E Barmpounakis, E Vlahogianni… - International journal of …, 2021 - Elsevier
Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …

Driver profile and driving pattern recognition for road safety assessment: Main challenges and future directions

DI Tselentis, E Papadimitriou - IEEE Open Journal of Intelligent …, 2023 - ieeexplore.ieee.org
This study reviews the Artificial Intelligence and Machine Learning approaches developed
thus far for driver profile and driving pattern recognition, representing a set of macroscopic …

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 …