A review of intelligent driving style analysis systems and related artificial intelligence algorithms

GAM Meiring, HC Myburgh - Sensors, 2015 - mdpi.com
In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …

A survey on driving behavior analysis in usage based insurance using big data

S Arumugam, R Bhargavi - Journal of Big Data, 2019 - Springer
The emergence and growth of connected technologies and the adaptation of big data are
changing the face of all industries. In the insurance industry, Usage-Based Insurance (UBI) …

Looking at humans in the age of self-driving and highly automated vehicles

E Ohn-Bar, MM Trivedi - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …

Need data for driver behaviour analysis? Presenting the public UAH-DriveSet

E Romera, LM Bergasa, R Arroyo - 2016 IEEE 19th …, 2016 - ieeexplore.ieee.org
Driving analysis is a recent topic of interest due to the growing safety concerns in vehicles.
However, the lack of publicly available driving data currently limits the progress on this field …

Methodology and mobile application for driver behavior analysis and accident prevention

A Kashevnik, I Lashkov, A Gurtov - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …

Smartphone-based vehicle telematics: A ten-year anniversary

J Wahlström, I Skog, P Händel - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Just as it has irrevocably reshaped social life, the fast growth of smartphone ownership is
now beginning to revolutionize the driving experience and change how we think about …

A machine learning framework for automated accident detection based on multimodal sensors in cars

H Hozhabr Pour, F Li, L Wegmeth, C Trense, R Doniec… - Sensors, 2022 - mdpi.com
Identifying accident patterns is one of the most vital research foci of driving analysis.
Environmental or safety applications and the growing area of fleet management all benefit …

Vehicles of the future: A survey of research on safety issues

C Bila, F Sivrikaya, MA Khan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information and communication technologies (ICTs) have a profound impact on the current
state and envisioned future of automobiles. This paper presents an overview of research on …

A comprehensive review of driver behavior analysis utilizing smartphones

TK Chan, CS Chin, H Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Driving analytics using smartphones: Algorithms, comparisons and challenges

EI Vlahogianni, EN Barmpounakis - Transportation Research Part C …, 2017 - Elsevier
The present work investigates the use of smartphones as an alternative to gather data for
driving behavior analysis. The proposed approach incorporates i. a device reorientation …