Applying the heteroskedastic ordered probit model on injury severity for improved age and gender estimation
CONCLUSIONS: The results of the two applied approaches revealed that HETOP model outperformed the standard OP model when measuring the effects of age and gender together in injury severity analysis, due to the heteroskedasticity in injury severity within gender and age. The HETOP statistical method presented in this paper can be more broadly applied across other contexts and combinations of independent variables for improved model prediction and accuracy of causal variables in traffic safety.PMID:38019532 | DOI:10.1080/15389588.2023.2286429 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Amirreza Nickkar Shiva Pourfalatoun Erika E Miller Young-Jae Lee Source Type: research
Predicting and factor analysis of rider injury severity in two-wheeled motorcycle and vehicle crash accidents based on an interpretable machine learning framework
CONCLUSIONS: The prediction model of driver injury severity based on LightGBM algorithm has a good prediction performance. It can be used to analyze the influence factors of injury severity in two-wheeled motorcyclist accident by combining the model with SHAP method. These results could help the traffic management department to take measures to reduce accident injury of motorcyclists.PMID:38019553 | DOI:10.1080/15389588.2023.2284111 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Tianzheng Wei Tong Zhu Miao Lin Haoxue Liu Source Type: research
The evaluation of eye-catching effect in freeway tunnel entrance zone based on fixation behavior characteristics
CONCLUSIONS: It can be concluded that different visual attractions in the freeway tunnel entrance zone have different effects on the eye-catching effect of drivers, by influencing the fixation behavior characteristics of drivers. Billboard is most effective in capturing drivers' visual attention, and tip slogan requires greater attention allocation and visual cognitive effort from drivers, resulting in the highest visual cognitive workload. This study highlights the complex relationship between visual attraction and its performance on driver fixation behavior. The insights from this study can provide valuable references fo...
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Lei Han Zhigang Du Shiming He Source Type: research
Predictive modeling of submarining risk in car occupants based on pelvis angle and lap belt positioning
CONCLUSIONS: The submarining prediction model was developed based on the belt-pelvis angle and the belt-ASIS overlap. This predictive model may help to design restraint systems for various body types and seated postures of occupants.PMID:38019483 | DOI:10.1080/15389588.2023.2278419 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Yuya Takeuchi Yoshihiko Tanaka Toshiharu Azuma Yuqing Zhao Koji Mizuno Minoru Yamada Yoichi Yokoyama Yoshitake Yamada Masahiro Jinzaki Source Type: research
Demographic adjustments to driver death rates by vehicle type and size
CONCLUSIONS: The adjustment for driver age and gender greatly reduced the variability of driver death rates among vehicle types. The procedure used here to adjust driver death rates for driver age and gender can be extended to any situation where it is desired to compare the crash rates of two or more subgroups of a population.PMID:38019507 | DOI:10.1080/15389588.2023.2279912 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Charles M Farmer Source Type: research
Study on driver's active emergency response in dangerous traffic scenes based on driving simulator
CONCLUSIONS: Drivers have different active emergency responses to different vehicle collision scenes. Quantitative statistics of driver's active emergency response will have important guiding significance for the analysis of the impact of human active emergency response on human injury characteristics in subsequent vehicle collision experiments.PMID:38019530 | DOI:10.1080/15389588.2023.2282948 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Shuai Ma Shucai Xu Jiafeng Song Kejun Wang Haoyi Qin Ruixiang Wang Source Type: research
Applying the heteroskedastic ordered probit model on injury severity for improved age and gender estimation
CONCLUSIONS: The results of the two applied approaches revealed that HETOP model outperformed the standard OP model when measuring the effects of age and gender together in injury severity analysis, due to the heteroskedasticity in injury severity within gender and age. The HETOP statistical method presented in this paper can be more broadly applied across other contexts and combinations of independent variables for improved model prediction and accuracy of causal variables in traffic safety.PMID:38019532 | DOI:10.1080/15389588.2023.2286429 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Amirreza Nickkar Shiva Pourfalatoun Erika E Miller Young-Jae Lee Source Type: research
Predicting and factor analysis of rider injury severity in two-wheeled motorcycle and vehicle crash accidents based on an interpretable machine learning framework
CONCLUSIONS: The prediction model of driver injury severity based on LightGBM algorithm has a good prediction performance. It can be used to analyze the influence factors of injury severity in two-wheeled motorcyclist accident by combining the model with SHAP method. These results could help the traffic management department to take measures to reduce accident injury of motorcyclists.PMID:38019553 | DOI:10.1080/15389588.2023.2284111 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Tianzheng Wei Tong Zhu Miao Lin Haoxue Liu Source Type: research
The evaluation of eye-catching effect in freeway tunnel entrance zone based on fixation behavior characteristics
CONCLUSIONS: It can be concluded that different visual attractions in the freeway tunnel entrance zone have different effects on the eye-catching effect of drivers, by influencing the fixation behavior characteristics of drivers. Billboard is most effective in capturing drivers' visual attention, and tip slogan requires greater attention allocation and visual cognitive effort from drivers, resulting in the highest visual cognitive workload. This study highlights the complex relationship between visual attraction and its performance on driver fixation behavior. The insights from this study can provide valuable references fo...
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Lei Han Zhigang Du Shiming He Source Type: research
Predictive modeling of submarining risk in car occupants based on pelvis angle and lap belt positioning
CONCLUSIONS: The submarining prediction model was developed based on the belt-pelvis angle and the belt-ASIS overlap. This predictive model may help to design restraint systems for various body types and seated postures of occupants.PMID:38019483 | DOI:10.1080/15389588.2023.2278419 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Yuya Takeuchi Yoshihiko Tanaka Toshiharu Azuma Yuqing Zhao Koji Mizuno Minoru Yamada Yoichi Yokoyama Yoshitake Yamada Masahiro Jinzaki Source Type: research
Demographic adjustments to driver death rates by vehicle type and size
CONCLUSIONS: The adjustment for driver age and gender greatly reduced the variability of driver death rates among vehicle types. The procedure used here to adjust driver death rates for driver age and gender can be extended to any situation where it is desired to compare the crash rates of two or more subgroups of a population.PMID:38019507 | DOI:10.1080/15389588.2023.2279912 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Charles M Farmer Source Type: research
Study on driver's active emergency response in dangerous traffic scenes based on driving simulator
CONCLUSIONS: Drivers have different active emergency responses to different vehicle collision scenes. Quantitative statistics of driver's active emergency response will have important guiding significance for the analysis of the impact of human active emergency response on human injury characteristics in subsequent vehicle collision experiments.PMID:38019530 | DOI:10.1080/15389588.2023.2282948 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Shuai Ma Shucai Xu Jiafeng Song Kejun Wang Haoyi Qin Ruixiang Wang Source Type: research
Applying the heteroskedastic ordered probit model on injury severity for improved age and gender estimation
CONCLUSIONS: The results of the two applied approaches revealed that HETOP model outperformed the standard OP model when measuring the effects of age and gender together in injury severity analysis, due to the heteroskedasticity in injury severity within gender and age. The HETOP statistical method presented in this paper can be more broadly applied across other contexts and combinations of independent variables for improved model prediction and accuracy of causal variables in traffic safety.PMID:38019532 | DOI:10.1080/15389588.2023.2286429 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Amirreza Nickkar Shiva Pourfalatoun Erika E Miller Young-Jae Lee Source Type: research
Predicting and factor analysis of rider injury severity in two-wheeled motorcycle and vehicle crash accidents based on an interpretable machine learning framework
CONCLUSIONS: The prediction model of driver injury severity based on LightGBM algorithm has a good prediction performance. It can be used to analyze the influence factors of injury severity in two-wheeled motorcyclist accident by combining the model with SHAP method. These results could help the traffic management department to take measures to reduce accident injury of motorcyclists.PMID:38019553 | DOI:10.1080/15389588.2023.2284111 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Tianzheng Wei Tong Zhu Miao Lin Haoxue Liu Source Type: research
The evaluation of eye-catching effect in freeway tunnel entrance zone based on fixation behavior characteristics
CONCLUSIONS: It can be concluded that different visual attractions in the freeway tunnel entrance zone have different effects on the eye-catching effect of drivers, by influencing the fixation behavior characteristics of drivers. Billboard is most effective in capturing drivers' visual attention, and tip slogan requires greater attention allocation and visual cognitive effort from drivers, resulting in the highest visual cognitive workload. This study highlights the complex relationship between visual attraction and its performance on driver fixation behavior. The insights from this study can provide valuable references fo...
Source: Traffic Injury Prevention - November 29, 2023 Category: Accident Prevention Authors: Lei Han Zhigang Du Shiming He Source Type: research
