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 …

Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles

G Yang, C Ridgeway, A Miller, A Sarkar - Sensors, 2024 - mdpi.com
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

[HTML][HTML] Assessing distracted driving crash severities at New York City urban roads: A temporal analysis using random parameters logit model

S Rejali, K Aghabayk, MA Seyfi, O Oviedo-Trespalacios - IATSS Research, 2024 - Elsevier
Distracted driving poses one of the most significant risks to road safety. The current study
aims to provide a deeper understanding of the factors affecting the severity of distracted …

School bus electrification–A new frontier in bus driver safety and health

S Sinelnikov - Journal of Transport & Health, 2024 - Elsevier
Electric school buses are becoming an increasingly popular alternative to buses with
internal combustion engines. These vehicles are seen as a promising solution to reducing …

[HTML][HTML] Measurement invariance of the driving inattention scale (ARDES) across 7 countries

C Castro, PP Doncel, RD Ledesma, SA Montes… - Accident Analysis & …, 2024 - Elsevier
Abstract The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of
individual differences in driving inattention. ARDES was originally developed in Spanish …

Modeling distracted driving behavior considering cognitive processes

Y Zhu, L Yue, Q Zhang, J Sun - Accident Analysis & Prevention, 2024 - Elsevier
The modeling of distracted driving behavior has been studied for many years, however,
there remain many distraction phenomena that can not be fully modeled. This study …

Impact of texting-induced distraction on driving behavior based on field operation tests

A Singh, A Srivastava… - Transportation …, 2024 - journals.sagepub.com
Driver distraction has proven to be among the top contributory factors in road crashes
worldwide. The involvement of drivers in secondary activities, such as phone usage …

Predictors of distractive activities to walking in Accra, Ghana

EF Sam, PK Odame… - Urban, planning and …, 2023 - Taylor & Francis
Walking is a fundamental mode of transport for many people globally, with immense health
and environmental benefits. However, increased walking is associated with an increased …

[HTML][HTML] Personalized lane departure warning based on non-stationary crossformer and kernel density estimation

H Yin, L Yue, Y Gong, P Li, Y Huang - Alexandria Engineering Journal, 2024 - Elsevier
The primary causes leading to a high false warning rate in Lane Departure Warning (LDW)
systems are the inaccuracy in departure trajectory prediction and inadequate consideration …

Optimizing road safety: integrated analysis of motorized vehicle using lattice ordered complex linear diophantine fuzzy soft set

KA Banu, J Vimala, N Kausar, Ž Stević - PeerJ Computer Science, 2024 - peerj.com
In this manuscript, we delve into the realm of lattice ordered complex linear diophantine
fuzzy soft set, which constitutes an invaluable extension to the existing Fuzzy set theories …