首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Accident analysis and prevention

缩写:

ISSN:0001-4575

e-ISSN:1879-2057

IF/分区:6.2/Q1

文章目录 更多期刊信息

共收录本刊相关文章索引5700
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
Zhigang Wu,Meng Li,Yanyong Guo et al. Zhigang Wu et al.
Large-scale traffic accidents are often triggered by sudden shockwaves in congested flow, typically caused by unpredictable driving behaviors. The collaboration among connected and autonomous vehicles (CAVs) offer potential to mitigating tr...
Seungyeon Lee,Eun Hak Lee Seungyeon Lee
Colored lane markings are a recent traffic safety intervention in South Korea, designed to improve driver awareness and visual guidance. This study aims to evaluate their effectiveness in reducing traffic crashes. Specifically, 82 road segm...
Virginia Petraki,Apostolos Ziakopoulos,George Yannis Virginia Petraki
Driving behavior is the most critical factor influencing road transportation sustainability by shaping its three greatest pillars: (i) road safety, (ii) driving economy, and (iii) environmental impact. This paper aims to systematically revi...
John N Ivan,Yaohua Zhang,Nalini Ravishanker John N Ivan
The SHRP2 Naturalistic Driving Study (NDS) data were used to investigate association between actual driving speeds before known crashes and at other times. Associations were evaluated for the same driver at a location where a crash occurred...
Jianlin Li,Jun Zhang,Shuchao Cao et al. Jianlin Li et al.
Pedestrian following behavior has a significant impact on crowd dynamics within transportation hubs, where dense and heterogeneous passenger flows pose substantial traffic risk challenges. However, empirical research on this behavior in suc...
Benjamin P Krbavac,Rory England,Séan Mitchell et al. Benjamin P Krbavac et al.
Mild traumatic brain injury (mTBI) is a frequent but underreported consequence of professional cycling crashes, yet current helmet testing standards primarily simulate head-first impacts, and their representation of real-world head impact s...
Xin Gao,Quan Li,Siyuan Liu et al. Xin Gao et al.
Pedestrians, as vulnerable road users, face significant safety risks in traffic environments. In hazardous traffic scenarios, they often exhibit collision-avoidance behaviors that significantly influence vehicle interactions and potential i...
Christine M Petersen,Patricia R DeLucia Christine M Petersen
In the last decade, cyclist fatalities in traffic collisions have increased. Therefore, the current study aimed to identify which cues drivers use to make quick and accurate judgments of cyclists' intent and whether cell phone use affects p...
Miaojie Xia,Li Guan,Jiang Du et al. Miaojie Xia et al.
Spatial heterogeneity constitutes an essential element in advanced crash frequency modeling frameworks. However, current spatial methodologies exhibit two primary limitations: (1) inflexible parametric formulations of exposure variables, an...
Jeffrey P Ebert,Catherine C McDonald,Ruiying A Xiong et al. Jeffrey P Ebert et al.
Many motor vehicle crashes are due to risky driving behaviors measurable by smartphone telematics applications. These apps are deployed by usage-based insurance (UBI) programs to estimate crash risk and price policies, incentivizing custome...