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期刊名:Traffic injury prevention

缩写:TRAFFIC INJ PREV

ISSN:1538-9588

e-ISSN:1538-957X

IF/分区:1.9/Q3

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共收录本刊相关文章索引2741
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Jeremías David Tosi,Natalia Alejandra Minjolou,Carlos M Díaz-Lázaro et al. Jeremías David Tosi et al.
Objective: Road safety education is essential for preventing traffic injuries and promoting safe behavior from an early age. In this regard, principals and teachers play a key role. This qualitative study explored opinion...
Lei Han,Huimin Zhou,Pengsen Gu et al. Lei Han et al.
Objectives: Despite the increasing construction of spiral tunnels, the specific scientific problem of how their unique geometric characteristics (length and radius) and travel direction (upward vs. downward) collectively ...
Khalid A Abalkhail,Mohammed Aldabeis,Laila Alghamdi et al. Khalid A Abalkhail et al.
Objectives: Road traffic accidents (RTAs) are the leading cause of death among children globally. According to motor vehicle collision reports from the Saudi Ministry of Health, 3,202 children younger than 18 years were i...
Liangguo Kang Liangguo Kang
Objectives: Road safety is a vital public concern aimed at preventing road-related injuries and fatalities. Assessing road safety status can be effectively conducted using performance measurement tools, which help identif...
Hao Li,Xiaofei Zhang Hao Li
Objective: The traffic conflict situations at sharp curve sections are evaluated by analyzing vehicle trajectory data during navigation through these hazardous road segments. ...
Yunwei Meng,Jiaqi Hu,Jiajun Shen et al. Yunwei Meng et al.
Objective: This study aims to reveal the spatial distribution characteristics of driving risks in two-lane mountainous highway tunnels, with a particular focus on the influence of different tunnel lengths on risk levels, ...
Nanditha Boddu,Venkata Ramana K,Ramesh Cheripelli Nanditha Boddu
Objective: This work aims to give a method that is both efficient and comprehensible for forecasting the extent of injuries sustained in traffic accidents. This addresses the limitations of existing GNN-based frameworks, ...
Marziyeh Najafi,Hoorieh Hallajian,Mahsa Eshik Aghasi et al. Marziyeh Najafi et al.
Objectives: Helmets are vital for motorcyclists. They prevent death and head injuries. Researchers have found many barriers to motorcyclists' helmet use, one of which is related to helmet features. Studying motorcyclists'...
Guiling Li,Zuosheng Hu,Haozhi Zhang Guiling Li
Objective: With the development of intelligent transportation systems, the demand for automatic recognition and monitoring of critical road safety infrastructure has been increasing. Particularly in high-risk road section...
Hua Liu,Yongfeng Ma,Tiezhu Li Hua Liu
Objective: Two-vehicle collision crashes are always tough challenges for traffic management departments due to its severe consequences. This study aims to investigate risk mechanism of three types of two-vehicle collision...