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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 …
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) …
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
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 …
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …
Need data for driver behaviour analysis? Presenting the public UAH-DriveSet
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 …
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
This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …
and recommendations based on detected unsafe driving behavior for accident prevention …
Smartphone-based vehicle telematics: A ten-year anniversary
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 …
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
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 …
Environmental or safety applications and the growing area of fleet management all benefit …
Vehicles of the future: A survey of research on safety issues
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 …
state and envisioned future of automobiles. This paper presents an overview of research on …
A comprehensive review of driver behavior analysis utilizing smartphones
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 …
distraction, drunkenness, and/or recklessness are the most common types of abnormal …
Driving analytics using smartphones: Algorithms, comparisons and challenges
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 …
driving behavior analysis. The proposed approach incorporates i. a device reorientation …