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 …

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 …

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 …

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 …

A multi-layered methodology for driver behavior analysis using tinyml and edge computing

M Medeiros, T Flores, M Silva… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
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 …

An online unsupervised machine learning approach to detect driving related events

M Silva, T Flores, P Andrade, J Silva… - IECON 2022–48th …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) paradigm has fostered several transformations in various
industrial sectors, with important improvements in the automotive industry. Actually, the …

From self-reports to observations: Unraveling digital billboard influence on drivers

A Sheykhfard, M Azmoodeh, B Kutela, S Das… - … research part F: traffic …, 2024 - Elsevier
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 …

[HTML][HTML] Low-cost system for automatic recognition of driving pattern in assessing interurban mobility using geo-information

O Romero, AS Miura, L Parra, J Lloret - ISPRS International Journal of …, 2022 - mdpi.com
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 …

Classification of motorized two-wheeler riders' acceleration and deceleration behavior through short-term naturalistic riding study

PK Akinapalli, DS Pawar, H Dia - … research part F: traffic psychology and …, 2023 - Elsevier
Riding behavior is characterized by speed choices and evasive actions performed by 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 …