scholarly journals Some characteristics of drivers having caused traffic accidents

2008 ◽  
Vol 61 (9-10) ◽  
pp. 464-469 ◽  
Author(s):  
Predrag Djuric ◽  
Marica Miladinov-Mikov
Keyword(s):  
Alcohol Consumption ◽  
Marital Status ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Accident ◽  
Attention And Memory ◽  
Seat Belts ◽  
Human Errors ◽  
Car Accidents ◽  
Significant Difference

Introduction. Traffic accidents are caused by road, vehicle and human factors, the latter one causing, either by itself or associated with other factors, more than 90% of car accidents. There are three types of human errors: errors in perception, attention and memory. Material and Methods. The study included thirty healthy drivers, aged 28-40, with 500 km driven per a week, who had caused at least one traffic accident, but not being intoxicated by alcohol or drugs during the accident. The same number of controls were included. Both the cases and controls were interviewed. Results. We found no difference regarding the marital status, education, conflicts with family members or problems at work, frequency of using the car, speed and habit of fastening seat belts among car drivers who had caused traffic accidents and those who had not. However, we did find significant differences in the frequency of alcohol consumption in general and before driving. Discussion. Car drivers who had caused traffic accidents used alcohol regularly in greater percentage than those drivers who had not caused any accident - i.e. not a single control claimed to use alcohol regularly. A statistically significant difference was also recorded in alcohol consumption immediately before driving. Such results had been expected, bearing in mind the influence of alcohol on the time needed by drivers to react in emergency. Conclusion. Alcohol consumption is an important factor causing traffic accidents. Since drivers included in our study did not cause a road accident after consuming alcohol, we have found that alcohol consumption, both regular and just before driving, is an important cause of traffic accidents.

scholarly journals TRAFFIC-RELATED MORTALITY IN MOLDOVA

2020 ◽  
pp. 140-147
Keyword(s):  
Life Expectancy ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Road Accidents ◽  
Continuous Increase ◽  
Risk Of Death ◽  
Significant Difference ◽  
Related Mortality

This article analyses the mortality caused by road accidents in Moldova depending on the degree of involvement of pedestrians, cyclists, motorcyclists, drivers and passengers of transport units, depending on age and sex. Results suggest that traffic-related mortality in Moldova has shown an increased incidence among the young and working-age population, where a significant difference between males and females is observed. Among the youth, traffic-related deaths register between 10-27% of the overall mortality in both sexes. The risk exposure of dying in a traffic accident decreases with age and is less significant in the retired ages. During the years 1998-2015, avoidance of trafficrelated deaths would have assured an increase in life expectancy between 0.40-0.56 years in males, and 0.09-0.23 years in females. The continuous increase in the number of transport units on public roads, as well as in the number of hours spent in traffic, influences the degree of exposure to the risk of death or injury as a result of road traffic accidents. Trauma resulting from road accidents increases the incidence of premature mortality and disability among the population, which is reflected by the decrease of healthy life expectancy. It is ascertained that the road accident mortality requires a detailed and comprehensive analysis given the multitude of factors influencing deaths and injuries related to a traffic accident among the population. Thus, in order to improve road safety and reduce mortality incidence among traffic participants, a range of actions has to be implemented by the liable actors, including through the international experience.

scholarly journals Reaction time of drivers who caused road traffic accidents

2009 ◽  
Vol 62 (3-4) ◽  
pp. 114-119 ◽  
Author(s):  
Predrag Djuric ◽  
Danka Filipovic
Keyword(s):  
Reaction Time ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Human Factor ◽  
Road Traffic ◽  
Reaction Times ◽  
Road Traffic Accidents ◽  
Alcohol And Drugs ◽  
Car Accidents ◽  
Significant Difference

Introduction. Human factor is the single cause of road traffic injuries in 57%, and together with other factors in more than 90% of all road traffic accidents. Human factor includes many aspects, where reaction time is very important. Material and methods. Thirty healthy drivers 28-40 y.o. with 50-500 km passed per week, having caused at least one road traffic accident in the last ten years were selected, provided they were not under the influence of alcohol and drugs during traffic accident. The same number of control were selected. Both cases and controls were tested to reaction time. Results. We found statistically significant difference between car drivers who caused car accidents and those who did not in both simple and choice reaction times. Discussion. Car drivers who caused road traffic accidents have longer reaction time (both simple and choice reaction time), but as the tasks were more complex, that difference was less visible. Since drivers involved in this study had introductory phase before measuring their reaction times, they faced with unpleasant sound when they made mistake, which forced them to be aware not to make a mistake in further tasks, so they showed longer reaction times. Conclusion. Measuring of reaction time seems to be important, and as we have showed they are different in drivers who have caused road traffic accidents and those who have do not.

ARE FATALISM AND OPTIMISM AN OBSTACLE TO DEVELOPING SELF-PROTECTING BEHAVIORS? STUDY WITH A TURKISH SAMPLE

2006 ◽  
Vol 34 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Ayse Sibel Türküm
Keyword(s):  
Regression Analysis ◽  
Marital Status ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Demographic Characteristics ◽  
Number Of Children ◽  
Personal Experiences ◽  
Turkish People ◽  
Status Number

This study investigates the differences in self-protecting behaviors (SPB) related to earthquakes and traffic accidents in terms of demographic characteristics, having experiences of these events, fatalistic view, and optimistic expectations among a cohort of Turkish people (N = 398). Results show that SPB of the participants vary according to the interaction among gender, marital status, number of children, and to the interaction among personal experiences of traffic accident and/or earthquake, and relatives/friends' experiences of traffic accidents. The results of regression analysis showed that marital status, gender and optimism predict SPB.

scholarly journals A VR-Enhanced Rollover Car Simulator and Edutainment Application for Increasing Seat Belt Use Awareness

Computers ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 55
Author(s):  
José V. Riera ◽  
Sergio Casas ◽  
Francisco Alonso ◽  
Marcos Fernández
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Seat Belt ◽  
Seat Belts ◽  
Safety Measures ◽  
Head Mounted Display ◽  
Car Accidents ◽  
Correct Usage ◽  
Before And After ◽  
Seat Belt Use

Most countries have active road safety policies that seek the objective of reducing deaths in traffic accidents. One of the main factors in this regard is the awareness of the safety measures, one of the most important being the correct usage of the seat belt, a device that is known to save thousands of lives every year. The presented work shows a VR-enhanced edutainment application designed to increase awareness on the use of seat belts. For this goal, a motorized rollover system was developed that, synchronized with a VR application (shown in a head-mounted display for each user inside a real car), rolls over this car with up to four passengers inside. This way, users feel the sensations of a real overturn and therefore they realize the consequences and the results of not wearing a seat belt. The system was tested for a month in the context of a road safety exhibition in Dammam, Saudi Arabia, one of the leading countries in car accidents per capita. More than 500 users tested and assessed the usefulness of the system. We measured, before and after the rollover experience, the perception of risk of not using the seat belt. Results show that awareness regarding the use of seat belts increases very significantly after using the presented edutainment tool.

scholarly journals Knowledge regarding prevention of road traffic accidents among the adolescents in a community at Dharan Municipality

2014 ◽  
Vol 4 (1) ◽  
pp. 81-84
Author(s):  
Neela Subba ◽  
Dipty Subba
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Signals ◽  
Descriptive Study ◽  
Road Traffic Accidents ◽  
Seat Belts ◽  
Safety Seat ◽  
Structured Questionnaire

Descriptive study with the aim to assess knowledge regarding prevention of road traffic accidents was done by administrating self-structured questionnaire among 100 adolescents (between 10-19 years) at Dharan Municipality. Questionnaire includes the information regarding demographic and knowledge about meaning, causes and prevention of road traffic accidents. Among the respondents 55% were male and 45% were female. Driver responsibility and not obeying traffic signals for occurrences of RTA, use of safety seat belts for minimizing Road Traffic Accident, were the most responses provided 85%, 91% and 81% respectively.  Overall, only 33.34% had good knowledge regarding prevention of road traffic accidents. The study concludes the need for knowledge about accident prevention.

scholarly journals PROCESSING OF AEROPICTURES AT THE PLACE OF AN ACCIDENT ON THE WEB-PORTAL «INFORMATION AND ANALYTICAL CENTRE OF MONITORING OF ROAD TRAFFIC ACCIDENTS»

2020 ◽  
Vol 73 (4) ◽  
pp. 189-195
Author(s):  
Yuliya Atamanenko ◽  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Aerial Photographs ◽  
Road Traffic Accidents ◽  
Web Portal ◽  
The Web

The article presents theoretical substantiation of the methodological basis for use of aeropictures of unmanned aerial vehicles of the "micro" class, namely DJI Phantom 3 Professional and GIS-technologies during the mapping of the site of an accident. A structural and functional model of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" has been developed and implemented, which allows to fully use aerial photographs of unmanned aerial vehicles to increase the efficiency of road accident mapping technology. A step-by-step technological scheme for processing aerial photographs of the scene of accidents on the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is proposed. It should be noted that the structure of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" includes the subsection "Registration of a traffic accident report" and the subsection "Add a participant of an accident", which ensures the registration of personal materials of the participants of a road traffic accident. Thus, the result of registration of an accident on the web portal is the documentation of the registered accident in the form of a generated report, which includes personal materials of the participants of an accident and orthophotos of the scene of an accident. Thus, it is definite that the developed geo-information support of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is intended for collection, registration, mapping, formation and issuance of relevant documentation of an accident. The application of this innovative solution to the process of registration and mapping of road traffic accidents allows to solve a number of issues related to the process of registration and mapping of road accidents, namely: the issue of traffic jams will be resolved; the process of registration of road accident is automated; the accuracy and reliability of the made schemes of a place of a road traffic accident will increase; the number of controversial issues will decrease; the received materials can be used for other purposes (adoption of motivated decisions on court cases, execution of reasoned payments by insurance companies), and accordingly the corruption component will decrease.

scholarly journals Human errors in traffic accidents: differences between car drivers and motorcyclists’ experience

2019 ◽  
Vol 2 (2) ◽  
pp. 118
Author(s):  
Guritnaningsih P Santoso ◽  
Dewi Maulina
Keyword(s):  
Psychological Factors ◽  
Traffic Accident ◽  
Human Error ◽  
Traffic Accidents ◽  
Causes Of Death ◽  
Human Errors ◽  
Police Records ◽  
And Performance ◽  
Recognition Errors ◽  
Decision Errors

Traffic accidents have become one of the main causes of death in Indonesia. The biggest contributor to traffic accidents are motorcyclists. According to police records, human error plays a major role in the occurrence of accidents. The aim of this study is to analyze the potential types of human error that contribute to traffic accidents, as well as the psychological factors that underlie traffic accidents experienced by car drivers and motorcyclists. Data was collected by interviewing five car drivers and five motorcyclists. Results show that the car drivers tend to perform a type of human error which is classified as lapses, while the motorcyclists tend to do an error of slips. For psychological factors that underlie traffic accident, results show that both car drivers and motorcyclists made recognition errors, i.e. did not estimate distance, time, and speed. They also made decision errors, i.e. did not avoid the situation immediately, and performance errors, i.e. a motorcyclist stepped on the gas pedal by mistake. Other errors done by the car drivers were being sleepy and drunk, whereas other errors done by motorcyclists were not having a riding license and feeling tired. The implication of this study is to make the drivers/riders aware of the importance of cognitive aspects in driving.

scholarly journals Awareness and obeyance of road traffic rules among motorists in Mangaluru suburbs, India

2017 ◽  
Vol 4 (10) ◽  
pp. 3796
Author(s):  
Sudeep Kumar Shetty ◽  
Mackwin Kenwood D'mello ◽  
Jagannath Purushothama ◽  
Priyanka Dsouza Rent ◽  
V. Monisha
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Statistical Tests ◽  
World Health ◽  
Health Concern ◽  
Cross Sectional ◽  
Significant Difference ◽  
Traffic Rules

Background: Road traffic accident is one amongst the “biggest killers” across the World according to World Health Organization. Though road traffic accidents are both predictable and preventable, it is witnessed that there is an alarming increase in morbidity, mortality and disability owing to road traffic accident which has become a major public health concern in India. Hence this study aims to assess the awareness and obeyance of road traffic rules among commuters in south Mangaluru suburbs. Methods: A cross sectional study was conducted among 180 motorists in south Mangaluru suburbs during August 2015, who were selected conveniently and structured questionnaire was administered for interview schedule. The data were analyzed for mean, median, frequencies, percentages, standard deviation and appropriate statistical tests were applied by using SPSS version 16. Results: More than two-thirds (67.2%) had insufficient awareness about road traffic rules and more than three fourth of the respondents (86.1%) had bad obeyance of road traffic rules. There was relationship between awareness and practice which was statistically significant (p=0.041) and there was statistical significant difference (p<0.05) in obeyance according to marital status, profession and type of vehicles used. Conclusions: Though the respondents were aware about road traffic rules to a certain extent but they were not obeying the road traffic rules wholly. This can be addressed through the strict enforcement of road traffic rulesand behavioral change communications. 

Estimation of socio-economic national losses as a result of road accidents in russia

2016 ◽  
pp. 131-146 ◽  
Author(s):  
D. Kolesnikova ◽  
T. Karabchuk ◽  
D. Salnikova ◽  
T. Fattahov
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Public Investment ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Car Accidents ◽  
Police Statistics ◽  
Specific Evaluation

Every thirty minutes a person dies in a road traffic accident in Russia. Twenty five thousand people die annually, which is equivalent to the middle-populated city in the country. According to Traffic Police Statistics, much more people get wounded or disabled in road accidents. In order to reduce the number of deaths in car accidents it is necessary to implement specific measures, which require substantial public investment. Hence the relevance of more specific evaluation of socio-economic national losses arising because of death, disablement and traumatism in road traffic accidents. To make this possible, the authors have worked out the efficient methodology for estimating socio-economic national losses as a result of road accidents. According to our analysis, the total value of such losses equals 487.1 billion RUB in 2013.

scholarly journals PSO-ANN in preventing traffic collisions: a comparative study

2021 ◽  
Vol 24 (3) ◽  
pp. 1796
Author(s):  
Md. Ashikuzzaman ◽  
Wasim Akram ◽  
Md. Mydul Islam Anik ◽  
Mahamudul Hasan ◽  
Md. Sawkat Ali ◽  
...  
Keyword(s):  
Machine Learning ◽  
Smart City ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Nearest Neighbor ◽  
Transportation Systems ◽  
Road Accident ◽  
Ann Model ◽  
K Nearest Neighbor ◽  
Traffic Collision

Traffic accident is a global threat which causes health and economic casualties all around the world. Due to the expansion of transportation systems, congestion can lead to spike road accident. Every year thousands of people have died due to traffic accidents. Various technologies have been adopted by modern cities to minimize traffic accidents. Therefore, to ensure people’s safety, the concept of the smart city has been introduced. In a smart city, factors like road, light, and weather conditions are important to consider to predict traffic mishap. Several machine learning models have been implemented in the existing literature to determine and predict traffic collision. But the accuracy is not enough and there exist a lot of challenges in determining the accident. In this paper, an approach of particle swarm optimization with artificial neural network (PSO-ANN) has been proposed to determine traffic collision using the dataset of the transport department of United Kingdom. The performance of PSO-ANN outperforms the existing machine learning model. PSO-ANN model can be adopted in the transportation system to counter traffic accident issues. Random Forest, Naıve Bayes, Nearest Centroid, K-Nearest Neighbor classification have been used to compare with the proposed PSO-ANN model.

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