Safety, energy, and emissions impacts of adaptive cruise control and cooperative adaptive cruise control
Connected and automated vehicle technologies have the potential to significantly improve
transportation system performance. In particular, advanced driver-assistance systems, such …
transportation system performance. In particular, advanced driver-assistance systems, such …
How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data
Connected and automated vehicles have enabled researchers to use big data for
development of new metrics that can enhance transportation safety. Emergence of such a …
development of new metrics that can enhance transportation safety. Emergence of such a …
Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods
Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …
playing a key role in a large portion of crashes. Modern instrumentation and computational …
Driving impairments and duration of distractions: assessing crash risk by harnessing microscopic naturalistic driving data
Distracted and impaired driving is a key contributing factor in crashes, leading to about 35%
of all transportation-related deaths in recent years. Along these lines, cognitive issues like …
of all transportation-related deaths in recent years. Along these lines, cognitive issues like …
Applying Markov decision process to understand driving decisions using basic safety messages data
While a number of studies have investigated driving behaviors, detailed microscopic driving
data has only recently become available for analysis. Through Basic Safety Message (BSM) …
data has only recently become available for analysis. Through Basic Safety Message (BSM) …
Quantifying regional heterogeneity effect on drivers' speeding behavior using SHRP2 naturalistic driving data: A multilevel modeling approach
Disparities in traffic safety among different regions and driver populations have been
investigated in previous studies. These studies found significant differences in crashes …
investigated in previous studies. These studies found significant differences in crashes …
The influences of strict and post-strict lockdowns due to the Covid-19 pandemic on crash severity on rural roads: A case study of Khorasan Razavi, Iran
Covid-19 has influenced traffic patterns due to restrictions on travel. During COVID-19
restrictions, many people opted to travel by private cars for their mandatory trips instead of …
restrictions, many people opted to travel by private cars for their mandatory trips instead of …
Exploring heterogeneous pedestrian stream characteristics at walking facilities with different angle intersections
While individuals with disabilities constitute a significant portion of the population in the
United States, they are often neglected in pedestrian studies due to lack of available data …
United States, they are often neglected in pedestrian studies due to lack of available data …
Patterns of near-crash events in a naturalistic driving dataset: applying rules mining
This study aims to explore the associations between near-crash events and road geometry
and trip features by investigating a naturalistic driving dataset and a corresponding roadway …
and trip features by investigating a naturalistic driving dataset and a corresponding roadway …
Harnessing ambient sensing & naturalistic driving systems to understand links between driving volatility and crash propensity in school zones–A generalized …
With the advent of seemingly unstructured big data, and through seamless integration of
computation and physical components, cyber-physical systems (CPS) provide an innovative …
computation and physical components, cyber-physical systems (CPS) provide an innovative …