The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

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) …

Driver behavior detection and classification using deep convolutional neural networks

M Shahverdy, M Fathy, R Berangi… - Expert Systems with …, 2020 - Elsevier
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …

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 …

DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion

J Liu, Y Liu, D Li, H Wang, X Huang, L Song - Applied Intelligence, 2023 - Springer
Driving style detection is an essential real-world requirement in diverse contexts, such as
traffic safety, car insurance and fuel consumption optimization. However, the existing …

Real-time detection of abnormal driving behavior based on long short-term memory network and regression residuals

Y Ma, Z Xie, S Chen, F Qiao, Z Li - Transportation research part C …, 2023 - Elsevier
Abnormal driving behavior is one of the main causes of roadway collisions. In most studies
of abnormal driving behavior, the abnormal driving status is detected and analyzed using …

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 …

Driver behavior classification: a systematic literature review

S Bouhsissin, N Sael, F Benabbou - IEEE Access, 2023 - ieeexplore.ieee.org
Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …

Abnormal driving detection with normalized driving behavior data: A deep learning approach

J Hu, X Zhang, S Maybank - IEEE transactions on vehicular …, 2020 - ieeexplore.ieee.org
Abnormal driving may cause serious danger to both the driver and the public. Existing
detectors of abnormal driving behavior are mainly based on shallow models, which require …

Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis

Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …