Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways
Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …
development of connected and autonomous vehicles (CAVs), there comes both challenges …
A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences
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 …
efficiency of traffic operations and reducing emissions. This technology has the potential to …
Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis
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 …
reducing human errors. While the testing of automated vehicles (AVs) has improved their …
Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems
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 …
(AVs) of Level 3 or higher as classified by the Society of Automotive Engineers, several AV …
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 …
improve safety and operation, considering differences between Autonomous Vehicles and …
[PDF][PDF] Human injury-based safety decision of automated vehicles
Q Wang, Q Zhou, M Lin, B Nie - Iscience, 2022 - cell.com
Automated vehicles (AVs) are anticipated to improve road traffic safety. However, prevailing
decision-making algorithms have largely neglected the potential to mitigate injuries when …
decision-making algorithms have largely neglected the potential to mitigate injuries when …
Quantification of safety improvements and human-machine tradeoffs in the transition to automated driving
The assumption of reduced human error-related crashes with increasing levels of
automation in pursuing Level 5 automation lacks empirical evidence. As automation levels …
automation in pursuing Level 5 automation lacks empirical evidence. As automation levels …
Analysis of pre-crash scenarios and contributing factors for autonomous vehicle crashes at intersections
Q Liu, X Wang, S Liu, C Yu, Y Glaser - Accident Analysis & Prevention, 2024 - Elsevier
Intersections are high-risk locations for autonomous vehicles (AVs). Crash causation
analysis based on pre-crash scenarios can provide new insight into these crashes that can …
analysis based on pre-crash scenarios can provide new insight into these crashes that can …
Risk-informed longitudinal control in autonomous vehicles: A safety potential field modeling approach
Y Shao, Z Han, X Shi, Y Zhang, Z Ye - Physica A: Statistical Mechanics and …, 2024 - Elsevier
The advent of autonomous vehicles (AVs) has complicated traffic flow and raised safety
concerns, there is a pressing need to enhance traffic efficiency alongside ensuring robust …
concerns, there is a pressing need to enhance traffic efficiency alongside ensuring robust …
A comparison of patterns and contributing factors of ADAS and ADS involved crashes
Abstract Crashes involving Advanced Driver Assistance Systems (ADAS) and Automated
Driving Systems (ADS) have been increasing in recent years. Understanding the …
Driving Systems (ADS) have been increasing in recent years. Understanding the …