Supporting equitable and responsible highway safety improvement funding allocation strategies - Why AI prediction biases matter
Accid Anal Prev. 2024 Apr 16;202:107585. doi: 10.1016/j.aap.2024.107585. Online ahead of print.ABSTRACTThe existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically, these models produce predictions that estimate future crash hazard levels in different geographical areas, which subsequently support the future funding allocation strategies. In recent years, there is a burgeoning interest in applying artificial intelligence (AI)-based models to perform crash prediction tasks. Despite the remarkable accuracy of these AI-based crash predict...
Source: Accident; Analysis and Prevention. - April 17, 2024 Category: Accident Prevention Authors: Zihang Wei Yang Zhou Zihao Li Mihir Kulkarni Yunlong Zhang Source Type: research
Outcome evaluation of the p drivers Program: Randomised controlled trial of a program to improve safe driving among novice drivers
CONCLUSIONS: The P Drivers Program was successful in improving attitudes toward driving safety but the negative impact on behaviour, lack of effect on crashes, and the large loss to follow-up fail to support the use of a post-licensing behaviour change program to improve novice driver behaviour and reduce crashes.TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: 363,293 (ANZCTR, 2012).PMID:38615505 | DOI:10.1016/j.aap.2024.107569 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - April 14, 2024 Category: Accident Prevention Authors: K Stephan A N Stephens M Scully E Mitsopoulos-Rubens S V Newstead Source Type: research
Outcome evaluation of the p drivers Program: Randomised controlled trial of a program to improve safe driving among novice drivers
CONCLUSIONS: The P Drivers Program was successful in improving attitudes toward driving safety but the negative impact on behaviour, lack of effect on crashes, and the large loss to follow-up fail to support the use of a post-licensing behaviour change program to improve novice driver behaviour and reduce crashes.TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: 363,293 (ANZCTR, 2012).PMID:38615505 | DOI:10.1016/j.aap.2024.107569 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - April 14, 2024 Category: Accident Prevention Authors: K Stephan A N Stephens M Scully E Mitsopoulos-Rubens S V Newstead Source Type: research
Outcome evaluation of the p drivers Program: Randomised controlled trial of a program to improve safe driving among novice drivers
CONCLUSIONS: The P Drivers Program was successful in improving attitudes toward driving safety but the negative impact on behaviour, lack of effect on crashes, and the large loss to follow-up fail to support the use of a post-licensing behaviour change program to improve novice driver behaviour and reduce crashes.TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: 363,293 (ANZCTR, 2012).PMID:38615505 | DOI:10.1016/j.aap.2024.107569 (Source: Accident; Analysis and Prevention.)
Source: Accident; Analysis and Prevention. - April 14, 2024 Category: Accident Prevention Authors: K Stephan A N Stephens M Scully E Mitsopoulos-Rubens S V Newstead Source Type: research
Assessing the predictability of surrogate safety measures as crash precursors based on vehicle trajectory data prior to crashes
This study aims to investigate the predictability of surrogate safety measures (SSMs) for real-time crash risk prediction. We conducted a year-long drone video collection on a busy freeway in Nanjing, China, and collected 20 rear-end crashes. The predictability of SSMs was defined as the probability of crash occurrence when using SSMs as precursors to crashes. Ridge regression models were established to explore contributing factors to the predictability of SSMs. Four commonly used SSMs were tested in this study. It was found that modified time-to-collision (MTTC) outperformed other SSMs when the early warning capability wa...
Source: Accident; Analysis and Prevention. - April 13, 2024 Category: Accident Prevention Authors: Yuxuan Wang Chengcheng Xu Pan Liu Zhibin Li Kequan Chen Source Type: research
A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
Accid Anal Prev. 2024 Apr 12;201:107570. doi: 10.1016/j.aap.2024.107570. Online ahead of print.ABSTRACTTo improve the traffic safety and efficiency of freeway tunnels, this study proposes a novel variable speed limit (VSL) control strategy based on the model-based reinforcement learning framework (MBRL) with safety perception. The MBRL framework is designed by developing a multi-lane cell transmission model for freeway tunnels as an environment model, which is built so that agents can interact with the environment model while interacting with the real environment to improve the sampling efficiency of reinforcement learning...
Source: Accident; Analysis and Prevention. - April 13, 2024 Category: Accident Prevention Authors: Jieling Jin Ye Li Helai Huang Yuxuan Dong Pan Liu Source Type: research
Assessing the predictability of surrogate safety measures as crash precursors based on vehicle trajectory data prior to crashes
This study aims to investigate the predictability of surrogate safety measures (SSMs) for real-time crash risk prediction. We conducted a year-long drone video collection on a busy freeway in Nanjing, China, and collected 20 rear-end crashes. The predictability of SSMs was defined as the probability of crash occurrence when using SSMs as precursors to crashes. Ridge regression models were established to explore contributing factors to the predictability of SSMs. Four commonly used SSMs were tested in this study. It was found that modified time-to-collision (MTTC) outperformed other SSMs when the early warning capability wa...
Source: Accident; Analysis and Prevention. - April 13, 2024 Category: Accident Prevention Authors: Yuxuan Wang Chengcheng Xu Pan Liu Zhibin Li Kequan Chen Source Type: research
A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
Accid Anal Prev. 2024 Apr 12;201:107570. doi: 10.1016/j.aap.2024.107570. Online ahead of print.ABSTRACTTo improve the traffic safety and efficiency of freeway tunnels, this study proposes a novel variable speed limit (VSL) control strategy based on the model-based reinforcement learning framework (MBRL) with safety perception. The MBRL framework is designed by developing a multi-lane cell transmission model for freeway tunnels as an environment model, which is built so that agents can interact with the environment model while interacting with the real environment to improve the sampling efficiency of reinforcement learning...
Source: Accident; Analysis and Prevention. - April 13, 2024 Category: Accident Prevention Authors: Jieling Jin Ye Li Helai Huang Yuxuan Dong Pan Liu Source Type: research
Integrated driving risk surrogate model and car-following behavior for freeway risk assessment
In this study, a novel approach for evaluating driving interaction risk on freeways is presented. The approach involves the integration of an interaction risk perception model with car-following behavior. The proposed model, named the driving risk surrogate (DRS), is based on the potential field theory and incorporates a virtual energy attribute that considers vehicle size and velocity. Risk factors are quantified through sub-models, including an interactive vehicle risk surrogate, a restrictions risk surrogate, and a speed risk surrogate. The DRS model is applied to assess driving risk in a typical scenario on freeways, a...
Source: Accident; Analysis and Prevention. - April 12, 2024 Category: Accident Prevention Authors: Renfei Wu Linheng Li Haotian Shi Yikang Rui Dong Ngoduy Bin Ran Source Type: research
Effects of executive load on crashes and near-crashes for young versus older drivers
Accid Anal Prev. 2024 Apr 11;201:107539. doi: 10.1016/j.aap.2024.107539. Online ahead of print.ABSTRACTWith the increasing use of infotainment systems in vehicles, secondary tasks requiring executive demand may increase crash risk, especially for young drivers. Naturalistic driving data were examined to determine if secondary tasks with increasing executive demand would result in increasing crash risk. Data were extracted from the Second Strategic Highway Research Program Naturalistic Driving Study, where vehicles were instrumented to record driving behavior and crash/near-crash data. executive and visual-manual tasks pair...
Source: Accident; Analysis and Prevention. - April 12, 2024 Category: Accident Prevention Authors: Keith A Sullivan Feng Guo Sheila G Klauer Source Type: research
Investigating built environment and traffic flow impact on crash frequency in urban road networks
This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segme...
Source: Accident; Analysis and Prevention. - April 7, 2024 Category: Accident Prevention Authors: Dong Xiao Hongliang Ding N N Sze Nan Zheng Source Type: research
Investigating built environment and traffic flow impact on crash frequency in urban road networks
This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segme...
Source: Accident; Analysis and Prevention. - April 7, 2024 Category: Accident Prevention Authors: Dong Xiao Hongliang Ding N N Sze Nan Zheng Source Type: research
Investigating built environment and traffic flow impact on crash frequency in urban road networks
This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segme...
Source: Accident; Analysis and Prevention. - April 7, 2024 Category: Accident Prevention Authors: Dong Xiao Hongliang Ding N N Sze Nan Zheng Source Type: research
Investigating built environment and traffic flow impact on crash frequency in urban road networks
This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segme...
Source: Accident; Analysis and Prevention. - April 7, 2024 Category: Accident Prevention Authors: Dong Xiao Hongliang Ding N N Sze Nan Zheng Source Type: research
Investigating built environment and traffic flow impact on crash frequency in urban road networks
This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segme...
Source: Accident; Analysis and Prevention. - April 7, 2024 Category: Accident Prevention Authors: Dong Xiao Hongliang Ding N N Sze Nan Zheng Source Type: research
