Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

Data-driven approaches for road safety: A comprehensive systematic literature review

A Sohail, MA Cheema, ME Ali, AN Toosi, HA Rakha - Safety science, 2023 - Elsevier
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment

K Zhang, S Wang, N Jia, L Zhao, C Han, L Li - Accident Analysis & …, 2024 - Elsevier
Driver behavior is a critical factor in driving safety, making the development of sophisticated
distraction classification methods essential. Our study presents a Distracted Driving …

Driver behavior classification: a systematic literature review

S Bouhsissin, N Sael, F Benabbou - IEEE Access, 2023 - ieeexplore.ieee.org
Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …

Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning

R Chhabra, S Singh, V Khullar - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …

An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis

M Malik, R Nandal, S Dalal, U Maan… - Journal of Intelligent & …, 2022 - content.iospress.com
In recent years, driver behavior analysis plays a vital role to enhance passenger coverage
and management resources in the smart transportation system. The real-world environment …

Real-time fatigue driving detection system based on multi-module fusion

H Jia, Z Xiao, P Ji - Computers & Graphics, 2022 - Elsevier
Fatigue driving is an important cause of traffic accidents, so it is particularly important to
achieve effective fatigue driving detection. The current fatigue driving detection algorithm …

[HTML][HTML] Predicting vehicle behavior using multi-task ensemble learning

R Khoshkangini, P Mashhadi, D Tegnered… - Expert systems with …, 2023 - Elsevier
Vehicle utilization analysis is an essential tool for manufacturers to understand customer
needs, improve equipment uptime, and to collect information for future vehicle and service …

In-vehicle data for predicting road conditions and driving style using machine learning

G Al-refai, H Elmoaqet, M Ryalat - Applied Sciences, 2022 - mdpi.com
Many network protocols such as Controller Area Network (CAN) and Ethernet are used in
the automotive industry to allow vehicle modules to communicate efficiently. These networks …

Sustainable recognition methods of modeling design features of light and micro vehicle-mounted UAV: based on support vector regression and Kano model

H Yang, Y Huo, R Jia, F Sha, N Hu, L Yu, Y Wang - Sustainability, 2022 - mdpi.com
In the era of Industry 4.0, intelligent algorithms provide an effective way to make design
methods more sustainable through mining people's demands continuously, especially in the …