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 …
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
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 …
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
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 …
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 …
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 …
individual differences in driving inattention. ARDES was originally developed in Spanish …
Modeling distracted driving behavior considering cognitive processes
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 …
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 …
worldwide. The involvement of drivers in secondary activities, such as phone usage …
Predictors of distractive activities to walking in Accra, Ghana
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 …
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
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 …
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
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 …
fuzzy soft set, which constitutes an invaluable extension to the existing Fuzzy set theories …