[HTML][HTML] Autonomous vehicle decision-making and control in complex and unconventional scenarios—a review

F Sana, NL Azad, K Raahemifar - Machines, 2023 - mdpi.com
The development of autonomous vehicles (AVs) is becoming increasingly important as the
need for reliable and safe transportation grows. However, in order to achieve level 5 …

A survey on automated driving system testing: Landscapes and trends

S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo… - ACM Transactions on …, 2023 - dl.acm.org
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

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 …

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 …

[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 …

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 …

An Exploratory Analysis of Temporal and Spatial Patterns of Autonomous Vehicle Collisions

RK Patel, SS Channamallu, MA Khan… - Public Works …, 2023 - journals.sagepub.com
Recent advancements in autonomous vehicle (AV) technology have the potential to reduce
road accidents caused by human error. However, to enhance their safety and performance …

An online learning framework for sensor fault diagnosis analysis in autonomous cars

X Yan, M Sarkar, B Lartey, B Gebru… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper proposes a novel data-driven technique, namely Online Learning for sensor
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …

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 …

[HTML][HTML] Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students' tolerable travel time to campus …

Y Chen, M Aghaabbasi, M Ali, S Anciferov, L Sabitov… - Sustainability, 2021 - mdpi.com
This present study developed two predictive and associative Bayesian network models to
forecast the tolerable travel time of university students to campus. This study considered the …