Smartphones vs. in-vehicle data acquisition systems as tools for naturalistic driving studies: a comparative review
E Grimberg, A Botzer, O Musicant - Safety science, 2020 - Elsevier
Naturalistic driving studies (NDS) are increasingly being used to investigate driver on-road
behavior. In parallel, smartphones are gaining interest as data acquisition systems (DAS) in …
behavior. In parallel, smartphones are gaining interest as data acquisition systems (DAS) in …
Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: The driver's perspective
Globally, road traffic accidents are an important public health concern which needs to be
tackled. A multidisciplinary approach is required to understand what causes them and to …
tackled. A multidisciplinary approach is required to understand what causes them and to …
Examining teen driver crashes and the prevalence of distraction: Recent trends, 2007–2015
Introduction Teen drivers crash at a much higher rate than adult drivers, with distractions
found as a factor in nearly 6 out of 10 moderate-to-severe teen crashes. As the driving …
found as a factor in nearly 6 out of 10 moderate-to-severe teen crashes. As the driving …
Overall performance impairment and crash risk due to distracted driving: A comprehensive analysis using structural equation modelling
Distracted driving leads to performance changes in both longitudinal and lateral control.
However, driving performance, being a multidimensional phenomenon, is very difficult to be …
However, driving performance, being a multidimensional phenomenon, is very difficult to be …
Distracted driving, visual inattention, and crash risk among teenage drivers
Introduction Distracted driving resulting from secondary task engagement is a major
contributing factor to teenage drivers' crash risk. This study aims to determine the extent to …
contributing factor to teenage drivers' crash risk. This study aims to determine the extent to …
Exploring transition durations of rear-end collisions based on vehicle trajectory data: A survival modeling approach
The time-to-collision (TTC) index and its extended variants have been widely utilized to
assess rear-end collision risks, but the characteristics of the time-series data have not been …
assess rear-end collision risks, but the characteristics of the time-series data have not been …
Identifying distracted-driving events from on-road observations using a moving vehicle: A case study in New Jersey
Distracted driving is a major traffic safety concern in the USA. To observe and detect
distracted-driving events, various methods (eg, surveys, videos, and simulations) involving …
distracted-driving events, various methods (eg, surveys, videos, and simulations) involving …
Effects of an integrated collision warning system on risk compensation behavior: An examination under naturalistic driving conditions
Collision warning systems can improve traffic safety, while their safety benefit may be
lessened due to improper risk compensation or system misuse. There are limited studies of …
lessened due to improper risk compensation or system misuse. There are limited studies of …
An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity
Two-vehicle crashes resulting from distracted driving led to a higher number of fatalities and
serious injuries over time. This study utilized machine learning and econometric models to …
serious injuries over time. This study utilized machine learning and econometric models to …
[HTML][HTML] Crash risk factors associated with injury severity of teen drivers
VR Duddu, VM Kukkapalli, SS Pulugurtha - IATSS research, 2019 - Elsevier
This paper focuses on identifying crash risk factors associated with injury severity of teen
drivers. Crash data obtained from the Highway Safety and Information System (HSIS) for the …
drivers. Crash data obtained from the Highway Safety and Information System (HSIS) for the …