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Application of naturalistic driving data: A systematic review and bibliometric analysis
MR Alam, D Batabyal, K Yang, T Brijs… - Accident Analysis & …, 2023 - Elsevier
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …
research questions in the area of driving behavior assessment, as well as the impact of …
Multimodal driver state modeling through unsupervised learning
A Tavakoli, A Heydarian - Accident Analysis & Prevention, 2022 - Elsevier
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving
scenario and provide personalized context to driving behavior. However, NDD requires a …
scenario and provide personalized context to driving behavior. However, NDD requires a …
Adaptive optimal safety tracking control for multiplayer mixed zero-sum games of continuous-time systems
C Qin, Z Zhang, Z Shang, J Zhang, D Zhang - Applied Intelligence, 2023 - Springer
When the equipment is working, it is very important to avoid the occurrence of malignant
accidents by providing a highly reliable safety protection means. In this paper, for multiplayer …
accidents by providing a highly reliable safety protection means. In this paper, for multiplayer …
A hybrid deep learning approach for driver anomalous lane changing identification
P Fan, J Guo, Y Wang, JS Wijnands - Accident Analysis & Prevention, 2022 - Elsevier
Reliable knowledge of driving states is of great importance to ensure road safety. Anomaly
detection in driving behavior means recognizing anomalous driving states as a direct result …
detection in driving behavior means recognizing anomalous driving states as a direct result …
A multi-layered methodology for driver behavior analysis using tinyml and edge computing
The rapid increase in vehicular sensor data and advances in Internet of Things (IoT)
technologies pose a dual challenge and opportunity for real-time traffic management and …
technologies pose a dual challenge and opportunity for real-time traffic management and …
An online unsupervised machine learning approach to detect driving related events
The Internet of Things (IoT) paradigm has fostered several transformations in various
industrial sectors, with important improvements in the automotive industry. Actually, the …
industrial sectors, with important improvements in the automotive industry. Actually, the …
From self-reports to observations: Unraveling digital billboard influence on drivers
The objective of this current study was to evaluate the impact of digital billboards (DBs) on
self-reported and observed driving behavior, given their established association with …
self-reported and observed driving behavior, given their established association with …
[HTML][HTML] Low-cost system for automatic recognition of driving pattern in assessing interurban mobility using geo-information
Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many
people. However, some of its main drawbacks are traffic jams and accidents. Newly made …
people. However, some of its main drawbacks are traffic jams and accidents. Newly made …
Classification of motorized two-wheeler riders' acceleration and deceleration behavior through short-term naturalistic riding study
Riding behavior is characterized by speed choices and evasive actions performed by riders
while riding under normal conditions through naturalistic riding studies (NRS). Riders …
while riding under normal conditions through naturalistic riding studies (NRS). Riders …
Prevalence of Forward head posture among car and bike drivers and its relation with neck and cardiopulmonary health parameters-a cross-sectional study
A Aafreen, AR Khan, A Khan, A Ahmad, MA Shaphe… - Plos one, 2024 - journals.plos.org
Objectives This study aimed to evaluate and compare the prevalence of Forward Head
Posture (FHP) in car and bike drivers, and its potential correlation with neck and …
Posture (FHP) in car and bike drivers, and its potential correlation with neck and …