[HTML][HTML] Automated vehicle collisions in California: Applying Bayesian latent class model

S Das, A Dutta, I Tsapakis - IATSS research, 2020 - Elsevier
The emerging technology of automated vehicles (AV) has been rapidly advancing and is
accompanied by various positive and negative potentials. The new technology is expected …

A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences

N Novat, E Kidando, B Kutela, AE Kitali - Journal of safety research, 2023 - Elsevier
Introduction: Automated vehicle (AV) technology is a promising technology for improving the
efficiency of traffic operations and reducing emissions. This technology has the potential to …

Modeling automated vehicle crashes with a focus on vehicle at-fault, collision type, and injury outcome

B Kutela, RE Avelar, P Bansal - Journal of transportation …, 2022 - ascelibrary.org
Automated vehicle (AV) technology is expected to make roads safer. However, until recently
only a handful of studies could test such hypotheses due to limited access to testing data …

Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches

S Wang, Z Li - PloS one, 2019 - journals.plos.org
Autonomous Vehicles (AV) technology is emerging. Field tests on public roads have been
on going in several states in the US as well as in Europe and Asia. During the US public …

Automated vehicle crash sequences: Patterns and potential uses in safety testing

Y Song, MV Chitturi, DA Noyce - Accident Analysis & Prevention, 2021 - Elsevier
With safety being one of the primary motivations for developing automated vehicles (AVs),
extensive field and simulation tests are being carried out to ensure AVs can operate safely …

Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems

N Moradloo, I Mahdinia, AJ Khattak - Accident Analysis & Prevention, 2024 - Elsevier
Abstract With emerging Automated Driving Systems (ADS) representing Automated Vehicles
(AVs) of Level 3 or higher as classified by the Society of Automotive Engineers, several AV …

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data

NJ Goodall - Accident Analysis & Prevention, 2021 - Elsevier
Automated vehicle developers in California are required to submit records of crashes and
distances traveled in autonomous mode for all vehicles in their fleets. Several studies have …

Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis

S Lee, R Arvin, AJ Khattak - Accident Analysis & Prevention, 2023 - Elsevier
Vehicle automation, manifested in self-driving cars, promises to provide safe mobility by
reducing human errors. While the testing of automated vehicles (AVs) has improved their …

Extracting rules from autonomous-vehicle-involved crashes by applying decision tree and association rule methods

MT Ashraf, K Dey, S Mishra… - Transportation research …, 2021 - journals.sagepub.com
Autonomous vehicles (AVs) can dramatically reduce the number of traffic crashes and
associated fatalities by eliminating the avoidable human-error-related crash contributing …