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 …
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
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 …
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
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 …
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 …
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 …
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 …
transportation, affecting both human life and the environment. Prior research suggests that …
Cloud-based driver monitoring system using a smartphone
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 …
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
Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …
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 …
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
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …
advancements in data collection, storage and analysis provide the means for deeper …