[HTML][HTML] Literature review of driving risk identification research based on bibliometric analysis
H Ge, Y Bo, W Zang, L Zhou, L Dong - Journal of traffic and transportation …, 2023 - Elsevier
In order to understand the current research status and development direction of driving risk
identification at home and abroad, relevant literatures in the field of driving risk identification …
identification at home and abroad, relevant literatures in the field of driving risk identification …
Who is behind the wheel? Driver identification and fingerprinting
In the last decade, significant advances have been made in sensing and communication
technologies. Such progress led to a considerable growth in the development and use of …
technologies. Such progress led to a considerable growth in the development and use of …
Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment
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 …
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
Driver identification using vehicle acceleration and deceleration events from naturalistic driving of older drivers
Driving is a common task that involves skill and individual preferences that can differ
between drivers. The unique driving behaviours can be beneficial for differentiating drivers …
between drivers. The unique driving behaviours can be beneficial for differentiating drivers …
Driver identification leveraging single-turn behaviors via mobile devices
Drivers' identities are essential information that can facilitate a broad range of applications.
For example, by understanding who is driving the vehicle when an accident happens …
For example, by understanding who is driving the vehicle when an accident happens …
Naturalistic driving: a framework and advances in using big data
Driving is an activity that facilitates physical, cognitive, and social stimulation in older adults,
ultimately leading to better physical and cognitive health. However, aging is associated with …
ultimately leading to better physical and cognitive health. However, aging is associated with …
Big data validation case study
With the advent of big data, data is being generated, collected, transformed, processed and
analyzed at an unprecedented scale. Since data is created at a fast velocity and with a large …
analyzed at an unprecedented scale. Since data is created at a fast velocity and with a large …
Real-time characterisation of driver steering behaviour
MC Best - Vehicle system dynamics, 2019 - Taylor & Francis
In recent years the application of driver steering models has extended from the off-line
simulation environment to autonomous vehicles research and the support of driver …
simulation environment to autonomous vehicles research and the support of driver …
Deep neural networks for driver identification using accelerometer signals from smartphones
S Hernández Sánchez, R Fernández Pozo… - … Conference on Business …, 2019 - Springer
With the evolution of the onboard communications services and the applications of ride-
sharing, there is a growing need to identify the driver. This identification, within a given driver …
sharing, there is a growing need to identify the driver. This identification, within a given driver …
Driving stability analysis using naturalistic driving data with random matrix theory
K Song, F Liu, C Wang, P Wang, G Min - IEEE Access, 2020 - ieeexplore.ieee.org
Driving behavior analysis has diverse applications in intelligent transportation systems
(ITSs). The naturalistic driving data potentially contain rich information regarding human …
(ITSs). The naturalistic driving data potentially contain rich information regarding human …