[HTML][HTML] Investigating the impacts of autonomous vehicles on crash severity and traffic safety

D Almaskati, S Kermanshachi… - Frontiers in Built …, 2024 - frontiersin.org
Traffic accidents are a nationwide public health concern, but autonomous vehicles (AVs)
have the potential to significantly reduce accident severity and frequency by eliminating their …

[HTML][HTML] Beyond the hype: A critical look at the motivations driving automated driving systems research

E Almlöf - Transportation research interdisciplinary perspectives, 2024 - Elsevier
Automated driving systems (ADS) have gained sizable attention over the last decade,
promising safer, cheaper, and more accessible transportation. However, the discourse …

[HTML][HTML] A matched case-control analysis of autonomous vs human-driven vehicle accidents

M Abdel-Aty, S Ding - Nature Communications, 2024 - nature.com
Despite the recent advancements that Autonomous Vehicles have shown in their potential to
improve safety and operation, considering differences between Autonomous Vehicles and …

Exploratory Analysis of the Crash Severity between Vehicular Automation (SAE L2-5) with Multi-Source Data

S Ding, M Abdel-Aty, D Wang, Z Wang, O Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
Autonomous driving tends to be an imperative technology to facilitate smart transportation,
where vehicular automation plays a prominent role. To accelerate its development, the …

What can we learn from the AV crashes?–An association rule analysis for identifying the contributing risky factors

P Liu, Y Guo, P Liu, H Ding, J Cao, J Zhou… - Accident Analysis & …, 2024 - Elsevier
The objective of this study is to explore the contributing risky factors to Autonomous Vehicle
(AV) crashes and their interdependencies. AV crash data between 2015 and 2023 were …

Seeing through eyes of Drivers: Space consideration in investigating visibility of Vulnerable road users involved in crashes from Driver's perspective

B Kutela, C Oscar, E Kidando, M Mihayo - Accident Analysis & Prevention, 2023 - Elsevier
Abstract Vulnerable Road User's (VRUs) invisibility by vehicle drivers hasn't been well
explored despite having a substantial influence on crash involvement and resulting severity …

Investigating the impact of influential factors on crash types for autonomous vehicles at intersections

Y Chen, Y Zou, X Kong, L Wu - Journal of Transportation Safety & …, 2023 - Taylor & Francis
Abstract Autonomous Vehicles (AVs) are being promoted as an emerging technology with
the potential to improve traffic efficiency and safety. However, the scarcity of publicly …

[PDF][PDF] The typical AV accident scenarios in the urban area obtained by clustering and association rule mining of real-world accident reports

H Lee, M Kang, K Hwang, Y Yoon - Heliyon, 2024 - cell.com
Abstract Automated Vehicles (AVs) based on a collection of advanced technologies such as
big data and artificial intelligence have opened an opportunity to reduce traffic accidents …

A Precrash Scenario Analysis Comparing Safety Performance across Autonomous Vehicle Driving Modes

T Wang, J Chen, W Li, J Chen… - Journal of Advanced …, 2024 - Wiley Online Library
Precrash scenario analysis for autonomous vehicles (AVs) is critical for improving the safety
of autonomous driving, yet the scenario differences between different driving modes are …

[HTML][HTML] Neural Network-Driven Reliability Analysis in Safety Evaluation of LiDAR-Based Automated Vehicles: Considering Highway Vertical Alignments and Adverse …

M Cai, C Mao, W Zhou, B Yu - Electronics, 2024 - mdpi.com
Complex road environments threaten the safe operation of automated vehicles. Among
these, adverse weather conditions and road geometries have particularly significant …