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

Q Abbas, A Alsheddy - Sensors, 2021 - 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 …

Fuzzy theory in fog computing: review, taxonomy, and open issues

ZJ Al-Araji, SSS Ahmad, N Kausar, A Farhani… - IEEE …, 2022 - ieeexplore.ieee.org
Geographically dispersed Fog Computing architecture ubiquitously connected to a range of
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …

[HTML][HTML] An intelligent approach for cloud-fog-edge computing SDN-VANETs based on fuzzy logic: effect of different parameters on coordination and management of …

E Qafzezi, K Bylykbashi, P Ampririt, M Ikeda, K Matsuo… - Sensors, 2022 - mdpi.com
The integration of cloud-fog-edge computing in Software-Defined Vehicular Ad hoc
Networks (SDN-VANETs) brings a new paradigm that provides the needed resources for …

Experimental research on the humidity in a passenger car cabin equipped with an air cooling system-development of a simplified model

K Gładyszewska-Fiedoruk, TJ Teleszewski - Applied Thermal Engineering, 2023 - Elsevier
The paper presents the results of research on humidity in a passenger car cabin equipped
with an air cooling system in the summer season in a temperate climate in north-eastern …

Advanced e-call support based on non-intrusive driver condition monitoring for connected and autonomous vehicles

M Minea, CM Dumitrescu, IM Costea - Sensors, 2021 - mdpi.com
Background: The growth of the number of vehicles in traffic has led to an exponential
increase in the number of road accidents with many negative consequences, such as loss of …

[PDF][PDF] State of the art in drivers' attention monitoring–A systematic literature review

SH Al-Gburi, KA Al-Sammak, I Marghescu… - … International Journal of …, 2023 - iasj.net
Recently, driver inattention has become the leading cause of automobile accidents. As a
result, the driver's perception and decision-making abilities are diminished, and the driver …

A fuzzy-based system for deciding driver impatience in VANETs

K Bylykbashi, E Qafzezi, P Ampririt, M Ikeda… - Advances on P2P …, 2022 - Springer
In this paper, we propose and implement an intelligent system based on Fuzzy Logic (FL) for
deciding driver impatience in VANETs. The proposed system, called Fuzzy-based System …

Effect of vehicle technical condition on real-time driving risk management in Internet of Vehicles: Design and performance evaluation of an integrated fuzzy-based …

K Bylykbashi, E Qafzezi, P Ampririt, M Ikeda, K Matsuo… - Internet of Things, 2021 - Elsevier
With the new era of Internet of Things (IoT), the Internet of Vehicles (IoV) is well on its way
from just a concept to a reality over the next few years. IoV promises to enable a myriad of …

[HTML][HTML] An Intelligent System for Determining Driver Anxiety Level: A Comparison Study of Two Fuzzy-Based Models

Y Liu, L Barolli - Future Internet, 2024 - mdpi.com
While driving, stress and frustration can affect safe driving and pose the risk of causing traffic
accidents. Therefore, it is important to control the driver's anxiety level in order to improve the …

A fuzzy-based system for safe driving in VANETs considering impact of driver impatience on stress feeling level

K Bylykbashi, E Qafzezi, P Ampririt, M Ikeda… - … Internetworking, Data & …, 2022 - Springer
In this paper, we propose and implement an intelligent system based on Fuzzy Logic (FL) for
determining the driver's stress in Vehicular Ad hoc Networks (VANETs) considering driver's …