Analysis of factors affecting the severity of automated vehicle crashes using XGBoost model combining POI data

H Chen, H Chen, Z Liu, X Sun… - Journal of advanced …, 2020 - Wiley Online Library
The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …

Exploring the mechanism of crashes with autonomous vehicles using machine learning

H Chen, H Chen, R Zhou, Z Liu… - Mathematical problems in …, 2021 - Wiley Online Library
The safety issue has become a critical obstacle that cannot be ignored in the marketization
of autonomous vehicles (AVs). The objective of this study is to explore the mechanism of AV …

Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors

B Kutela, S Das, B Dadashova - Accident Analysis & Prevention, 2022 - Elsevier
Autonomous or automated vehicles (AVs) have the potential to improve traffic safety by
eliminating majority of human errors. As the interest in AV deployment increases, there is an …

Impact of Autonomous Vehicles on Traffic Crashes in Comparison with Conventional Vehicles

SS Channamallu, S Kermanshachi… - … on Transportation and …, 2023 - ascelibrary.org
Autonomous vehicles (AV) have transformed the transportation industry in recent years
because of their potential to reduce the number of traffic deaths and injuries, and it is …

A crash injury model involving autonomous vehicle: Investigating of crash and disengagement reports

A Sinha, V Vu, S Chand, K Wijayaratna, V Dixit - Sustainability, 2021 - mdpi.com
Autonomous vehicles (AVs) are being extensively tested on public roads in several states in
the USA, such as California, Florida, Nevada, and Texas. AV utilization is expected to …

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 …

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 …

Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study

A Jamal, M Zahid, M Tauhidur Rahman… - … journal of injury …, 2021 - Taylor & Francis
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach

S Zhu, Q Meng - Accident Analysis & Prevention, 2022 - Elsevier
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

Avoid: Autonomous vehicle operation incident dataset across the globe

O Zheng, M Abdel-Aty, Z Wang, S Ding, D Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Crash data of autonomous vehicles (AV) or vehicles equipped with advanced driver
assistance systems (ADAS) are the key information to understand the crash nature and to …