scholarly journals Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 360 ◽  
Author(s):  
Serafín Moral-García ◽  
Javier Castellano ◽  
Carlos Mantas ◽  
Alfonso Montella ◽  
Joaquín Abellán
Keyword(s):  
Decision Tree ◽  
Human Impact ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Accident Analysis ◽  
Novice Drivers ◽  
Driving Experience ◽  
Useful Knowledge ◽  
Rule Set

Presently, there is a critical need to analyze traffic accidents in order to mitigate their terrible economic and human impact. Most accidents occur in urban areas. Furthermore, driving experience has an important effect on accident analysis, since inexperienced drivers are more likely to suffer fatal injuries. This work studies the injury severity produced by accidents that involve inexperienced drivers in urban areas. The analysis was based on data provided by the Spanish General Traffic Directorate. The information root node variation (IRNV) method (based on decision trees) was used to get a rule set that provides useful information about the most probable causes of fatalities in accidents involving inexperienced drivers in urban areas. This may prove useful knowledge in preventing this kind of accidents and/or mitigating their consequences.

Traffic Accident Analysis of Novice Drivers

2015 ◽  
Vol 740 ◽  
pp. 895-899
Author(s):  
Qi Chen ◽  
Dao Wen Zhang ◽  
Hai Bin Hao ◽  
Hong Kun Ma
Keyword(s):  
High Risk ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Risk Group ◽  
Sichuan Province ◽  
High Risk Group ◽  
Accident Analysis ◽  
Novice Drivers ◽  
Driving Experience

According to the research on novice drivers whose driving experience within 1 year, over 1 year to 2 years and 2 to 3 years in Sichuan province, this paper made deep analysis about the proportion of traffic accidents, proportion of novice drivers taking part in traffic, the relative possibility of traffic accidents. It screened out the high-risk group of novice drivers and did research on the causes of traffic accidents of novice drivers.

Motorcyclist Traffic Accidents and Risk Factors: A Singapore Study

1990 ◽  
Vol 4 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Tze Wai Wong ◽  
Wai-On Phoon ◽  
James Lee ◽  
Ivy Po Chu Yiu ◽  
Kam Pui Fung ◽  
...  
Keyword(s):  
Public Education ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Driving Experience ◽  
Factors Associated ◽  
Singapore General Hospital ◽  
Breath Testing ◽  
Severity Scores ◽  
One Year ◽  
Drunken Driving

Motorcyclist accidents cause significant morbidity and mortality in Singapore. To elucidate personal and environmental factors associated with such accidents, we studied 198 motorcyclists who were hospitalized in Singapore General Hospital between April 1986 and June 1987. The patients were mostly young and almost exclusively male with a high proportion of Malays. Most accidents occurred on Sundays and at night. Ten percent of the victims took alcohol before the accident. Most had low injury severity scores (ISS). Less experienced drivers had a significantly higher ISS than those with one year or longer of driving experience. Vigorous control of drunken driving, through public education and intensive breath testing, should reduce the incidence of traffic accidents.

scholarly journals The improvement of organizational and legal mechanisms of admission of novice drivers to traffic on roads

2020 ◽  
pp. 20-27
Author(s):  
Dmitrii Novgorodov ◽  
Aleksandr Tarasov
Keyword(s):  
Russian Federation ◽  
Social Relations ◽  
Road Safety ◽  
Traffic Accidents ◽  
Statistical Data ◽  
Research Subject ◽  
Road Accidents ◽  
Novice Drivers ◽  
Driving Experience ◽  
The Russian Federation

The research object is social relations connected with the admission of novice drivers to traffic on roads and the issue of driver’s licences. The research subject is the set of normative acts of the Russian Federation regulating the admission of drivers to traffic on roads, and the statistical data of the State Road Safety Unit on road accidents with novice drivers whose driving experience is up to 2 years. The authors analyse road accidents with novice drivers, identify the main reasons of accidents and offer the solutions to these problems. The scientific novelty of the research consists in the fact that the analysis of traffic accidents helped to outline the problems that should be solved within the shortest possible time in order to reduce the number of road accidents caused by novice drivers. In this context, the authors suggest introducing changes into the legislation of the Russian Federation which would allow for the declaration of driver’s licences issued in other states invalid, as well as the exchange of non-Russian driver’s licences for Russian ones only after adequate training and passing the exams. Besides, the authors suggest introducing the possibility for juveniles who passed the exams to drive a vehicle before they arrive the age of 18 with particular restrictions and accompanied by an experienced driver.   

scholarly journals Training Beginners and Experienced Drivers using mobile-based Virtual and Augmented Reality

2020 ◽  
pp. paper69-1-paper69-12
Author(s):  
Tatiana Tomchinskaya ◽  
Marina Shaposhnikova ◽  
Nikolay Dudakov
Keyword(s):  
Augmented Reality ◽  
Traffic Accidents ◽  
Road Accidents ◽  
Novice Drivers ◽  
Driving Experience ◽  
The Road ◽  
Unity 3D ◽  
Traffic Violations ◽  
Real Time Visualization ◽  
Virtual And Augmented Reality

A developed by authors application for real-time visualization of augmented and virtual reality is considered, which enables to simulate the traffic accidents on a mobile platform with the Android operating system. The application is developed on the basis of the Unity 3D and is able to visualize various types of road accidents and also link them to a terrain, different conditions of the urban environment, and map of the accident statistics. The system has an archive of videos for the accident 3D-scenes. The application interface and implementation features are considered. The subsystems of virtual and augmented reality are described in detail with examples. This application may be used to train novice drivers, learn the rules of the road, and inform experienced drivers about new road junctions. In the system environment, the distribution of the number of traffic violations depending on the driving experience for three groups (no experience, less than 3 years, more than 3 years) was investigated. The study of the usefulness of the system on the Likert scale on 80 cadets of driving schools is presented.

In Relation to Morbidity, Mortality, and Hospital Stay, Determine the Predictive Value of Injury Severity Scores in Road Traffic Accidents

2021 ◽  
Vol 15 (11) ◽  
pp. 3414-3416
Author(s):  
Hunain . ◽  
Muhammad Waqas Arshad ◽  
Farah Saleem ◽  
Abdul Sattar ◽  
Khurram Nadeem ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Hospital Stay ◽  
Predictive Value ◽  
Severity Score ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Severity Scores

Objective: The purpose of this study is to calculate the predictive value of injury severity score in relation to morbidity; mortality and hospital stay of patients following road traffic accidents. Study Design: Retrospective cohort study Place and Duration: Study was conducted at the department of General Surgery, Saidu Teaching hospital Swat, Jinnah Hospital Lahore and Bakhtawar Amin Memorial Trust Hospital Multan for duration six months from June 2020 to December 2020. Methods: Total eighty patients of both genders were presented in this study. Patients with ages 18-70 years had injury because of road traffic accidents were included. Informed written consent was taken from all the patients for detailed demographics included age, sex, body mass index and type of injury. Patients were admitted in emergency ward for initial treatment. Outcomes were calculated in terms of predictive value of injury severity score in relation to morbidity, mortality and hospital stay of patients. Abbreviated injury scale (AIS) score was used to analyze severity score. SPSS 20.0 version was used to analyze complete data. Results: Majority of the patients 55 (68.8%) were males and 25 (31.2%) were females. Mean age of the patients was 30.17±3.55 years with mean BMI 24.13±6.71 kg/m2. 45 (56.3%) patients were literate and 60 (75%) cases were from urban areas. Motorcycle was the most common cause of trauma found in 48 (60%) patients followed by car accidents in 18 (22.5%) and 14 (17.5%) trauma were because of cycle or other traffic. Legs and arms fractures were the most common injuries found in 32 (40%) and 25 (31.3%) followed by head fractures in 23 (28.8%) cases. Mean injury severity score was 54.07±3.64. Mean hospital stay was 3.12±4.37 days. Rate of mortality was high found in 19 (23.8%) cases. Conclusion: We concluded in this study that the injury severity score among traumatic patients were significantly high with rate of mortality and limb fractures were the most common injury found. Injury severity score is becoming more widely accepted as a predictor of mortality. Keywords: Road Traffic Accident, Injury Severity Score, Mortality, Limb Fracture

scholarly journals Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

2021 ◽  
Vol 18 (23) ◽  
pp. 12725
Author(s):  
Shuaiming Chen ◽  
Haipeng Shao ◽  
Ximing Ji
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Light Condition ◽  
Combined Effect ◽  
Special Focus ◽  
Novice Drivers ◽  
Fatal Accident ◽  
Driving Experience ◽  
Factors Affecting ◽  
Accident Severity

Traffic accidents have significant financial and social impacts. Reducing the losses caused by traffic accidents has always been one of the most important issues. This paper presents an effort to investigate the factors affecting the accident severity of drivers with different driving experience. Special focus was placed on the combined effect of driving experience and age. Based on our dataset (traffic accidents that occurred between 2005 and 2021 in Shaanxi, China), CatBoost model was applied to deal with categorical feature, and SHAP (Shapley Additive exPlanations) model was used to interpret the output. Results show that accident cause, age, visibility, light condition, season, road alignment, and terrain are the key factors affecting accident severity for both novice and experienced drivers. Age has the opposite impact on fatal accident for novice and experienced drivers. Novice drivers younger than 30 or older than 55 are prone to suffer fatal accident, but for experienced drivers, the risk of fatal accident decreases when they are young and increases when they are old. These findings fill the research gap of the combined effect of driving experience and age on accident severity. Meanwhile, it can provide useful insights for practitioners to improve traffic safety for novice and experienced drivers.

DINAMICS OF THE COGNITIVE COMPONENT OF THE SAFE DRIVING ATTITUDE OF NOVICE DRIVERS

2020 ◽  
pp. 51-56
Author(s):  
Т.В. Кочетова ◽  
А.В. Погодина ◽  
М.А. Харченко
Keyword(s):  
Risk Factors ◽  
Road Safety ◽  
Drunk Driving ◽  
First Year ◽  
Novice Drivers ◽  
Safe Driving ◽  
Driving Experience ◽  
The Road ◽  
Cognitive Component ◽  
The Social

В настоящей статье представлены результаты экспериментального исследования динамики когнитивного компо- нента социальной установки начинающих водителей. Приведены данные анализа психометрических показателей, характеризую- щих уровень осведомленности о факторах риска дорожно-транспортной среды, – вождение в нетрезвом состоянии и скоростное вождение. Показано, как дополнительные знания об этих факторах риска приводят к изменению установки на безопасное вождение и в дальнейшем могут обусловливать количество реальных нарушений правил дорожного движения в течение первого года стажа водительскойдеятельности. This article presents the results of an experimental research of the dynamics of the cognitive component of the social attitudes of novice drivers. The data of the analysis presents the psychometric indicators that characterized of knowledge about the risk factors of the road safety – drunk driving and speeding driving. This research shows how additional knowledge about these risk factors leads to a change in the social attitude towards safe driving and can determine the number of the violations of the traffic rules during the first year of driving experience.

scholarly journals Improving the timeliness and accuracy of injury severity data in road traffic accidents in an emerging economy setting

2018 ◽  
Vol 31 (2) ◽  
pp. 140-146
Author(s):  
Carlos Lam ◽  
Chang-I Chen ◽  
Chia-Chang Chuang ◽  
Chia-Chieh Wu ◽  
Shih-Hsiang Yu ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Emerging Economy ◽  
Road Traffic Accidents

Children and Terror Casualties Receive Preference in ICU Admissions

2012 ◽  
Vol 6 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Kobi Peleg ◽  
Michael Rozenfeld ◽  
Eran Dolev ◽  
Keyword(s):  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Age Groups ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Severe Injuries ◽  
Level I ◽  
Hospital Emergency Departments ◽  
Trauma Type

ABSTRACTObjective: Trauma casualties caused by terror-related events and children injured as a result of trauma may be given preference in hospital emergency departments (EDs) due to their perceived importance. We investigated whether there are differences in the treatment and hospitalization of terror-related casualties compared to other types of injury events and between children and adults injured in terror-related events.Methods: Retrospective study of 121 608 trauma patients from the Israel Trauma Registry during the period of October 2000-December 2005. Of the 10 hospitals included in the registry, 6 were level I trauma centers and 4 were regional trauma centers. Patients who were hospitalized or died in the ED or were transferred between hospitals were included in the registry.Results: All analyses were controlled for Injury Severity Score (ISS). All patients with ISS 1-24 terror casualties had the highest frequency of intensive care unit (ICU) admissions when compared with patients after road traffic accidents (RTA) and other trauma. Among patients with terror-related casualties, children were admitted to ICU disproportionally to the severity of their injury. Logistic regression adjusted for injury severity and trauma type showed that both terror casualties and children have a higher probability of being admitted to the ICU.Conclusions: Injured children are admitted to ICU more often than other age groups. Also, terror-related casualties are more frequently admitted to the ICU compared to those from other types of injury events. These differences were not directly related to a higher proportion of severe injuries among the preferred groups.(Disaster Med Public Health Preparedness. 2012;6:14–19)

scholarly journals Insights on Crash Injury Severity Control from Novice and Experienced Drivers: A Bivariate Random-Effects Probit Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Daiquan Xiao ◽  
Quan Yuan ◽  
Shengyang Kang ◽  
Xuecai Xu
Keyword(s):  
Random Effects ◽  
Traffic Safety ◽  
Injury Severity ◽  
Probit Model ◽  
Probit Analysis ◽  
Novice Drivers ◽  
Error Terms ◽  
Time Specific ◽  
Crash Types ◽  
Crash Injury Severity

This study intended to investigate the crash injury severity from the insights of the novice and experienced drivers. To achieve this objective, a bivariate panel data probit model was initially proposed to account for the correlation between both time-specific and individual-specific error terms. The geocrash data of Las Vegas metropolitan area from 2014 to 2017 were collected. In order to estimate two (seemingly unrelated) nonlinear processes and to control for interrelations between the unobservables, the bivariate random-effects probit model was built up, in which injury severity levels of novice and experienced drivers were addressed by bivariate (seemingly unrelated) probit simultaneously, and the interrelations between the unobservables (i.e., heterogeneity issue) were accommodated by bivariate random-effects model. Results revealed that crash types, vehicle types of minor responsibility, pedestrians, and motorcyclists were potentially significant factors of injury severity for novice drivers, while crash types, driver condition of minor responsibility, first harm, and highway factor were significant for experienced drivers. The findings provide useful insights for practitioners to improve traffic safety levels of novice and experienced drivers.

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