The Relationship Between Car Size and Occupant Injury in Traffic Accidents in Japan

1997 ◽  
Author(s):  
Koji Mizuno ◽  
Tetsuhiro Umeda ◽  
Hideki Yonezawa
Keyword(s):  
Traffic Accidents ◽  
Occupant Injury ◽  
The Relationship

Using CrowdFlower to Study the Relationship between Self-Reported Violations and Traffic Accidents

2014 ◽  
Author(s):  
Joost de Winter ◽  
Miltos Kyriakidis ◽  
Dimitra Dodou ◽  
Riender Happee
Keyword(s):  
Traffic Accidents ◽  
The Relationship

INFLUENCE OF PSYCHOPHYSIOLOGICAL CHARACTERISTICS OF PERSONS UNDER THE AGE OF EIGHTEEN ON DRIVING A VEHICLE

2021 ◽  
pp. 97-100
Author(s):  
Н.М. Кузнецова
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Statistical Information ◽  
The State ◽  
Road Traffic Accidents ◽  
Traffic Violations ◽  
The Relationship

В статье отражены статистические сведения, характеризующие состояние дорожно-транспортной аварийности, в том числе из-за нарушения правил дорожного движения водителями в возрасте 16-19 лет, рассмотрены взаимосвязь и влияние психофизиологических особенностей на управление транспортным средством у лиц, не достигших 18-летнеговозраста. The article reflects statistical information characterizing the state of road traffic accidents including those due to traffic violations by drivers aged 16-19 years, traced the relationship and influence of psychophysiological characteristics on driving a vehicle in persons under 18 years of age.

scholarly journals Fatigue Driving Prediction on Commercial Dangerous Goods Truck Using Location Data: The Relationship between Fatigue Driving and Driving Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shifeng Niu ◽  
Guiqiang Li
Keyword(s):  
Random Forest ◽  
Traffic Accidents ◽  
Ground Truth ◽  
Predictive Performance ◽  
Location Data ◽  
Dangerous Goods ◽  
Driving Time ◽  
Road Type ◽  
Fatigue Driving ◽  
The Relationship

The approaches monitoring fatigue driving are studied because of the fact that traffic accidents caused by fatigue driving often have fatal consequences. This paper proposes a new approach to predict driving fatigue using location data of commercial dangerous goods truck (CDT) and driver’s yawn data. The proposed location data are from an existing dataset of a transportation company that was collected from 166 vehicles and drivers in an actual driving environment. Six different categories of the predictor set are considered as fatigue-related indexes including travel time, day of week, road type, continuous driving time, average velocity, and overall mileage. The driver’s yawn data are used as a proxy for ground truth for the classification algorithm. From the six different categories of the predictor set, we obtain a set of 17 predictor variables to train logistic regression, neural network, and random forest classifiers. Then, we evaluate the predictive performance of the classifiers based on three indexes: accuracy, F1-measure, and area under the ROC curve (AUROC). The results show that the random forest is more suitable for predicting fatigue driving using location data according to its best accuracy (74.18%), F1-measure (62.02%), and AUROC (0.8059). Finally, we analyze the relationship between fatigue driving and driving environment according to variable importance described by random forest. In summary, our results obviously exhibit the potential of location data for reducing the accident rate caused by fatigue driving in practice.

scholarly journals Epidemiology of pediatric femur fractures in children: the Swedish Fracture Register

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zandra Engström ◽  
Olof Wolf ◽  
Yasmin D. Hailer
Keyword(s):  
Surgical Treatment ◽  
Traffic Accidents ◽  
Age Distribution ◽  
Fracture Pattern ◽  
Older Children ◽  
Femur Fractures ◽  
Fractures In Children ◽  
Fracture Register ◽  
Lower Ratio ◽  
The Relationship

Abstract Background Although femur fractures in children are rare, they are the most common fractures in need of hospitalization. We sought to describe the epidemiology and treatment of pediatric femur fractures recorded in the Swedish Fracture Register (SFR). We also studied the relationship between femur fractures, age, sex, fracture pattern, injury mechanism, seasonal variation and treatment. Methods This nationwide observational register study was based on the pediatric part of the SFR. We included all patients < 16 years of age who were registered in the SFR from 2015 to 2018. Results Of the 709 femur fractures, 454 (64%) occurred in boys. Sixty-two of these fractures were proximal (9%), 453 shaft (64%) and 194 distal (27%). A bimodal age distribution peak was observed in boys aged 2–3 and 16–19 years. In contrast, the age distribution among girls was evenly distributed. Younger children were mainly injured by a fall, whereas older children sustained their fracture because of traffic accidents. Non-surgical treatment prevailed among younger children; however, prevalence of surgical treatment increased with age. Conclusions We found a lower ratio between boys and girls (1.8:1) compared to earlier studies. The bimodal age distribution was seen only in boys. Falls were the most common injury in younger children, whereas traffic-related accidents were the most common in adolescents. With age, there was a corresponding increase in surgical treatment.

scholarly journals Evaluation of maxillofacial injury in the central part of Nepal

2012 ◽  
Vol 7 (3) ◽  
pp. 11-16 ◽  
Author(s):  
G Biswari ◽  
A Khanal ◽  
P Gupta ◽  
P Bansal
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Physical Assault ◽  
Trauma Patients ◽  
Medical Sciences ◽  
Type Site ◽  
Dental Injuries ◽  
The Relationship ◽  
Animal Attack ◽  
Gender Type

An evaluation of dental and maxillofacial trauma in College of Medical Sciences, Teaching Hospital, Bharatpur, Nepal was carried out to assess the causes of trauma and the relationship between the injuries to the Patient's Age, Gender, Type, Site of injury and the Influence of Alcohol from June 1, 2008 to May 31, 2011. Files of 1986 trauma patients were reviewed. Maxillofacial or dental injuries were observed in 269 (13.54%) of the trauma patients, caused by road traffic accidents 173 (64.3%), fall injury 43 (16.0%), physical assault 25 (9.3%), animal attack 9 (3.3%) and sport injury 19 (7.1%) Men were hospitalized almost three times more than women, most common site of injury was dentoalveolar fracture 79(29.37%) young people were at greater risk. The most frequent age of trauma was 15-29 years (51.7%). DOI: http://dx.doi.org/10.3126/jcmsn.v7i3.6702 Journal of College of Medical Sciences-Nepal, 2011, Vol-7, No-3, 11-16  

Heartfelt Driving: Discourses on Manners, Safety, and Emotion in Japan's Era of Mass Motorization

2012 ◽  
Vol 71 (1) ◽  
pp. 171-192 ◽  
Author(s):  
Joshua Hotaka Roth
Keyword(s):  
Social Control ◽  
Traffic Accidents ◽  
Emotional Reactions ◽  
Government Agencies ◽  
The 1960S ◽  
The One ◽  
Relationship Of ◽  
Social Management ◽  
The Relationship ◽  
School Curricula

This paper explores the contradictory discourses on manners, safety and emotion that arose with mass motorization in Japan in the 1960s and which continue through the present. It documents the way in which multiple government entities end up working at cross-purposes in their attempts to cultivate safer drivers and slow the epidemic of traffic accidents. On the one hand, the discourse on driving manners suggests a widespread embrace of the Traffic Bureau's and other government agencies' concern with safety. On the other hand, the emphasis on manners may lead to angrier driving, which promotes accidents according to psychological studies of driving. The picture that emerges is one in which attempts at social control are complicated by the often unpredictable emotional reactions of subjects caught in a web of institutional and ideological processes. By exploring the relationship of emotion to driving school curricula and the discourse on manners, this article extends previous studies of self, social control, and social management in Japan.

Sign in / Sign up

Export Citation Format

Share Document