Driving behavior analysis guidelines for intelligent transportation systems

MN Azadani, A Boukerche - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …

A review for the driving behavior recognition methods based on vehicle multisensor information

D Zhao, Y Zhong, Z Fu, J Hou… - Journal of Advanced …, 2022 - Wiley Online Library
The frequent traffic accidents lead to a large number of casualties and large related financial
losses every year; this serious state is owed to several factors; among those, driving …

[HTML][HTML] Driver identification methods in electric vehicles, a review

D Zhao, J Hou, Y Zhong, W He, Z Fu… - World Electric Vehicle …, 2022 - mdpi.com
Driver identification is very important to realizing customized service for drivers and road
traffic safety for electric vehicles and has become a research hotspot in the field of modern …

Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment

RA Zaidan, AH Alamoodi, BB Zaidan, AA Zaidan… - … Applications of Artificial …, 2022 - Elsevier
The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …

Siamese temporal convolutional networks for driver identification using driver steering behavior analysis

MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Driver identification has shown sustainable development in recent years in a wide variety of
applications including but not limited to security, personalization, fleet management …

Vehicle theft detection by generative adversarial networks on driving behavior

PY Tseng, PC Lin, E Kristianto - Engineering Applications of Artificial …, 2023 - Elsevier
Human driving behavior can be a unique fingerprint to identify individual drivers and can be
used for vehicle theft detection. Prior research often uses supervised learning to classify …

Driver identification using vehicular sensing data: A deep learning approach

MN Azadani, A Boukerche - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Driver identification plays a pivotal role in the design of advanced driver assistant systems.
The continued development of in-vehicle networking systems, CAN-bus technology, and the …

Driverrep: Driver identification through driving behavior embeddings

MN Azadani, A Boukerche - Journal of Parallel and Distributed Computing, 2022 - Elsevier
Driver identification has emerged as an active field of study to further personalize the
integrated advanced driver-assistance systems into intelligent vehicles, provide security and …

Empirical study and analysis of the impact of traffic flow control at road intersections on vehicle energy consumption

D Zhong, P Sun, A Boukerche - … of the 18th ACM Symposium on Mobility …, 2020 - dl.acm.org
In modern society, vehicles have become an indispensable means of transportation to
ensure people's travel and the circulation of social production materials and living materials …

Smartphone Inertial Measurement Unit Data Features for Analyzing Driver Driving Behavior

K Kanwal, F Rustam, R Chaganti… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Driving behavior is an important aspect of maintaining and sustaining safe transport on the
roads. It also directly affects fuel consumption, traffic flow, public health, and air pollution …