Linking crash and breathalyzer data in Connecticut
CONCLUSIONS: Linkage methodology is sound and produced quality matches. The use of a unique identifier provided a strong match qualifier in the absence of personal and private data. Changes in proportions for age, sex, crash and injury severity align with previous research. Potential missed matches may be attributed to several factors outside of the linkage process, including data discrepancies and varied reporting practices. Future studies will further explore these differences and incorporate additional toxicology data as part of a continued effort to fuze crash, citation, toxicology, and public health data. The end resu...
Source: Traffic Injury Prevention - February 16, 2024 Category: Accident Prevention Authors: Marisa E Auguste Jennifer Pawelzik Source Type: research
Prediction of driving stress on high-altitude expressway using driving environment features: A naturalistic driving study in Tibet
CONCLUSIONS: This study validates the prediction of driving stress using environment elements in the driver's field of view and extends its application to high-altitude expressways with distinct environmental characteristics. This method provides a real-time, less intrusive, and safer method of driving stress assessment and prediction and also enhances the understanding of the environmental determinants of driving stress. The results hold promising applications, including the development of a driving state assessment and warning module as well as the identification of high-risk road sections and implementation of control m...
Source: Traffic Injury Prevention - February 16, 2024 Category: Accident Prevention Authors: Pengcheng Qin Jie He Shuang Sun Xintong Yan Chenwei Wang Yuntao Ye Guanfeng Yan Tao Yan Mingnian Wang Source Type: research
Linking crash and breathalyzer data in Connecticut
CONCLUSIONS: Linkage methodology is sound and produced quality matches. The use of a unique identifier provided a strong match qualifier in the absence of personal and private data. Changes in proportions for age, sex, crash and injury severity align with previous research. Potential missed matches may be attributed to several factors outside of the linkage process, including data discrepancies and varied reporting practices. Future studies will further explore these differences and incorporate additional toxicology data as part of a continued effort to fuze crash, citation, toxicology, and public health data. The end resu...
Source: Traffic Injury Prevention - February 16, 2024 Category: Accident Prevention Authors: Marisa E Auguste Jennifer Pawelzik Source Type: research
Prediction of driving stress on high-altitude expressway using driving environment features: A naturalistic driving study in Tibet
CONCLUSIONS: This study validates the prediction of driving stress using environment elements in the driver's field of view and extends its application to high-altitude expressways with distinct environmental characteristics. This method provides a real-time, less intrusive, and safer method of driving stress assessment and prediction and also enhances the understanding of the environmental determinants of driving stress. The results hold promising applications, including the development of a driving state assessment and warning module as well as the identification of high-risk road sections and implementation of control m...
Source: Traffic Injury Prevention - February 16, 2024 Category: Accident Prevention Authors: Pengcheng Qin Jie He Shuang Sun Xintong Yan Chenwei Wang Yuntao Ye Guanfeng Yan Tao Yan Mingnian Wang Source Type: research
Linking crash and breathalyzer data in Connecticut
CONCLUSIONS: Linkage methodology is sound and produced quality matches. The use of a unique identifier provided a strong match qualifier in the absence of personal and private data. Changes in proportions for age, sex, crash and injury severity align with previous research. Potential missed matches may be attributed to several factors outside of the linkage process, including data discrepancies and varied reporting practices. Future studies will further explore these differences and incorporate additional toxicology data as part of a continued effort to fuze crash, citation, toxicology, and public health data. The end resu...
Source: Traffic Injury Prevention - February 16, 2024 Category: Accident Prevention Authors: Marisa E Auguste Jennifer Pawelzik Source Type: research
Research on driver's anger recognition method based on multimodal data fusion
CONCLUSIONS: The proposed multimodal recognition model, incorporating ECG and driving behavior signals, effectively identifies driving anger. The research results provide theoretical and technical support for the establishment of a driver anger system.PMID:38346170 | DOI:10.1080/15389588.2023.2297658 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Wencai Sun Yuwei Liu Shiwu Li Jingjing Tian Fengru Wang Dezhi Liu Source Type: research
Optimization of colored pavement considering driving behavior and psychological characteristics under dynamic low-visibility conditions related to fog-a driving simulator study
CONCLUSIONS: The findings provide a theoretical reference for the optimization of colored pavement in foggy conditions.PMID:38346171 | DOI:10.1080/15389588.2024.2308523 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Kun Wang Brian Gudyanga Weihua Zhang Zhongxiang Feng Cheng Wang Bo Yang Shuo Yang Source Type: research
Research on traffic accident prediction of expressway tunnel based on B-NB model
CONCLUSIONS: Drawing from the estimation results, practical measures are suggested across three dimensions: road geometric alignment design, tunnel traffic safety facilities, and traffic emergency management. These proposals aim to ameliorate the severe consequences of tunnel accidents. Future research will explore an in-depth comparison of estimation results, considering the impact of time and variable correlation on the prediction model by expanding the existing data. This will guide the direction of subsequent research endeavors.PMID:38346206 | DOI:10.1080/15389588.2024.2310584 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Yonghong Yang Yu Zhang Tao Zheng Qingyan Tian Source Type: research
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash data
CONCLUSIONS: Certain dynamic characteristics of vehicles involved in a crash in the five seconds before a crash significantly impact the crash severity. The study's findings can serve as a reference for preventing severe crashes and advancing the development of autonomous vehicles.PMID:38346208 | DOI:10.1080/15389588.2024.2312517 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Jieling Jin Helai Huang Rui Zhou Jiguang Chen Pan Liu Source Type: research
Research on driver's anger recognition method based on multimodal data fusion
CONCLUSIONS: The proposed multimodal recognition model, incorporating ECG and driving behavior signals, effectively identifies driving anger. The research results provide theoretical and technical support for the establishment of a driver anger system.PMID:38346170 | DOI:10.1080/15389588.2023.2297658 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Wencai Sun Yuwei Liu Shiwu Li Jingjing Tian Fengru Wang Dezhi Liu Source Type: research
Optimization of colored pavement considering driving behavior and psychological characteristics under dynamic low-visibility conditions related to fog-a driving simulator study
CONCLUSIONS: The findings provide a theoretical reference for the optimization of colored pavement in foggy conditions.PMID:38346171 | DOI:10.1080/15389588.2024.2308523 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Kun Wang Brian Gudyanga Weihua Zhang Zhongxiang Feng Cheng Wang Bo Yang Shuo Yang Source Type: research
Research on traffic accident prediction of expressway tunnel based on B-NB model
CONCLUSIONS: Drawing from the estimation results, practical measures are suggested across three dimensions: road geometric alignment design, tunnel traffic safety facilities, and traffic emergency management. These proposals aim to ameliorate the severe consequences of tunnel accidents. Future research will explore an in-depth comparison of estimation results, considering the impact of time and variable correlation on the prediction model by expanding the existing data. This will guide the direction of subsequent research endeavors.PMID:38346206 | DOI:10.1080/15389588.2024.2310584 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Yonghong Yang Yu Zhang Tao Zheng Qingyan Tian Source Type: research
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash data
CONCLUSIONS: Certain dynamic characteristics of vehicles involved in a crash in the five seconds before a crash significantly impact the crash severity. The study's findings can serve as a reference for preventing severe crashes and advancing the development of autonomous vehicles.PMID:38346208 | DOI:10.1080/15389588.2024.2312517 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 12, 2024 Category: Accident Prevention Authors: Jieling Jin Helai Huang Rui Zhou Jiguang Chen Pan Liu Source Type: research
Driver yield and safe child pedestrian crossing behavior promotion by a school traffic warden program at primary school crossings: A cluster-randomized trial
CONCLUSION: The school traffic warden program is associated with increased driver yield and safe child pedestrian crossing behavior, i.e., stopping at the curb, walking while crossing, and not crossing between vehicles. Therefore, the school traffic warden program could be promoted to supplement other road safety measures, such as pedestrian safety road infrastructure, legislation, and enforcement that specifically protects children in school zones.PMID:38324586 | DOI:10.1080/15389588.2024.2305426 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 7, 2024 Category: Accident Prevention Authors: Jimmy Osuret Ashley Van Niekerk Olive Kobusingye Lynn Atuyambe Victoria Nankabirwa Source Type: research
An exploratory study of parent acceptance of sanctions for driving offenses committed by their children
CONCLUSIONS: These exploratory findings suggest that family size and income may be important influences on parent acceptance of sanctions on behalf of their offending children. The findings related to the psychosocial variables are discussed considering other research and the limitations of the study.PMID:38324628 | DOI:10.1080/15389588.2023.2296861 (Source: Traffic Injury Prevention)
Source: Traffic Injury Prevention - February 7, 2024 Category: Accident Prevention Authors: David Rodwell Source Type: research
