Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and …
With proactive safety assessment gaining significant attention in the literature, the
relationship between traffic conflicts (which form the underpinnings of proactive safety …
relationship between traffic conflicts (which form the underpinnings of proactive safety …
A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
Pedestrians represent a vulnerable road user group at signalised intersections. As such,
properly estimating pedestrian crash risk at discrete short intervals is important for real-time …
properly estimating pedestrian crash risk at discrete short intervals is important for real-time …
[HTML][HTML] Analyzing scenario criticality and rider's intervention behavior during high-level autonomous driving: A VR-enabled approach and empirical insights
The safety of autonomous driving systems (ADS) has been attracting extensive attentions of
research and practice worldwide. One major concern on the existing ADS is the failure to …
research and practice worldwide. One major concern on the existing ADS is the failure to …
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 …
have the potential to significantly reduce accident severity and frequency by eliminating their …
[HTML][HTML] Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial …
Pedestrians represent a group of vulnerable road users who are at a higher risk of
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …
[HTML][HTML] A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data
Pedestrians are a vulnerable road user group, and their crashes are generally spread
across the network rather than in a concentrated location. As such, understanding and …
across the network rather than in a concentrated location. As such, understanding and …
A comparison of pedestrian behavior in interactions with autonomous and human-driven vehicles: An extreme value theory approach
Autonomous Vehicle (AV) technologies are expected to result in significant safety and
mobility benefits to the road system. However, one of the most important issues that …
mobility benefits to the road system. However, one of the most important issues that …
[HTML][HTML] Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach
As autonomous vehicles (AVs) advance from theory into practice, their safety and
operational impacts are being more closely studied. This study aims to contribute to the ever …
operational impacts are being more closely studied. This study aims to contribute to the ever …
Dynamic identification of short-term and longer-term hazardous locations using a conflict-based real-time extreme value safety model
T Ghoul, T Sayed, C Fu - Analytic methods in accident research, 2023 - Elsevier
A novel and effective approach to safety management requires evaluating the safety of
locations over short time periods (eg minutes). Unlike traditional methods that are based on …
locations over short time periods (eg minutes). Unlike traditional methods that are based on …
Pedestrian crash risk analysis using extreme value models: new insights and evidence
Facilitating proactive pedestrian safety management, the application of extreme value theory
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …