scholarly journals Evaluating the Nature of Distractive Driving Factors towards Road Traffic Accident

2020 ◽  
Vol 6 (8) ◽  
pp. 1555-1580 ◽  
Author(s):  
Khawar Khan ◽  
Syed Bilal Zaidi ◽  
Asad Ali
Keyword(s):  
Sensation Seeking ◽  
Traffic Accidents ◽  
Systems Approach ◽  
Road Traffic ◽  
Qualitative Interviews ◽  
National Level ◽  
Weather Conditions ◽  
Road Traffic Accidents ◽  
Night Time ◽  
Young Drivers

For past two decades many researchers have been working on quantitative as well as qualitative study of distractive driving using different approaches. Road traffic accidents have been identified as the main source of human casualties and cause of damages to the economy and society, as millions of humans is killed every year in these accidents around the world. National-level studies in Pakistan reveal that a higher percentage of males in the age group from twenty to forty years lose their lives in road traffic accidents when compared with that of females. Due to these factors, it is alarming for a society, which is highly dependent on males such as Pakistan, as these losses put numerous families into the financial crisis that lead to poverty. This study envisaged identifying whether moods and emotions play any role in road traffic accidents of young drivers. The study reviews have shown various gaps in our understanding. For this purpose, qualitative interviews of young drivers who are university going and have met some road accidents in recent years in Pakistan had been conducted. Data from the interviews had been transcribed for analysis while maintaining the anonymity of the participants for confidentiality. Analysis of the transcribed data reveals various factors that contribute to road traffic accidents where major causes are distractions, different weather conditions, sleep deprivation, unsafe lane changes, night-time driving, and these factors are triggered by the behavior when youthful drivers engage in driving for sensation seeking and self-esteem. We conclude that it is just through the appropriation of a systems approach that coordinated countermeasures can be proposed and actualized to relieve driver mistakes caused by distraction.

scholarly journals Comparison of Prediction Models for Mortality Related to Injuries from Road Traffic Accidents after Correcting for Undersampling

2021 ◽  
Vol 18 (11) ◽  
pp. 5604
Author(s):  
Yookyung Boo ◽  
Youngjin Choi
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
National Level ◽  
Brier Score ◽  
Support Vector ◽  
Main Diagnosis ◽  
Road Traffic Accidents ◽  
Multiple Variables ◽  
Type Of Injury ◽  
Kernel Model

In this study, four models—logistic regression (LR), random forest (RF), linear support vector machine (SVM), and radial basis function (RBF)-SVM—were compared for their accuracy in determining mortality caused by road traffic injuries. They were tested using five years of national-level data from the Korea Disease Control and Prevention Agency’s (KDCA) National Hospital Discharge In-Depth Survey (2013 through to 2017). Model performance was measured for accuracy, precision, recall, F1 score, and Brier score metrics using classification analysis that included characteristics of patients, accidents, injuries, and illnesses. Due to the number of variables and differing units, the rates of survival and mortality related to road traffic accidents were imbalanced, so the data was corrected and standardized before the classification models’ performances were compared. Using the importance analysis, the main diagnosis, the type of injury, the site of the injury, the type of injury, the operation status, the type of accident, the role at the time of the accident, and the sex were selected as the analysis factors. The biggest contributing factor was the role in the accident, which is the driver, and the major sites of the injuries were head injuries and deep injuries. Using selected factors, comparisons of the classification performance of each model indicated RBF-SVM and RF models were superior to the others. Of the SVM models, the RBF kernel model was superior to the linear kernel model; it can be inferred that the performance of the high-dimensional transformed RBF model is superior when the dimension is complex because of the use of multiple variables. The findings suggest there are limitations to analyses involving imbalanced, multidimensional original data, such as data on road traffic mortality. Thus, analyses must be performed after imbalances are corrected.

scholarly journals Profile of thoracic injury at College of Medical Sciences Teaching Hospital

2014 ◽  
Vol 9 (1) ◽  
pp. 30-39
Author(s):  
D Chapagain ◽  
D Jayapal Reddy ◽  
S Shah ◽  
KG Shrestha
Keyword(s):  
Prospective Study ◽  
Hospital Stay ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Flail Chest ◽  
Length Of Hospital Stay ◽  
Thoracic Injury ◽  
Road Traffic Accidents ◽  
Medical Sciences ◽  
Night Time

Objectives: Thoracic injury is a challenge to the thoracic surgeon practicing in developing countries. This prospective study was conducted to see the mode of injury, injury types and overall outcome of thoracic injury in our settings. Materials and methods: This prospective study was conducted in 100 thoracic injury patients between December 2011 to June 2012. The demographic features, type of the trauma, radiological assessment, associated organ injuries, management of the injury, surgical interventions, morbidity, mortality, length of hospital stay were analysed. Results: In this study the ages ranged from 7 to 84 years. There were 73 (73%) males and 27 (27%) females. The majority of patients (83%) were injured during the evening and night time. The majority of patients 92(92%) sustained blunt chest injuries. The mechanism of injury was not significantly associated with length of hospital stay (P > 0.05) and mortality (P > 0.05).Road traffic accident was the most common cause of injuries affecting 68(68%) of patients followed by fall injury of 19(19%). Rib fractures, haemothorax, pneumothorax and lung contusion were the most common type of injuries accounting for 83.0%, 57%,34% and 33% respectively. Associated extra-thoracic injuries were noted in 64.0% of patients. 45(45%) of the cases of haemothorax, pneumotharax and haemopneumothorax were treated by tube thoracotomy. Four patients (04%) had undergone thoracotomy. There were 09(09%) patients of flail chest and treated conservatively. Fourty six patients (46%) were admitted in the ICU. Eleven (11%) patients were treated with ventilator support. Seventeen (17%) patients had complication. The overall length of hospital stay ranged from 0 to 25 days. Conclusion: Road traffic accidents and fall from height are the major public health problems. Preventive measures at reducing road traffic accidents and timely management with closed tube thoracotomy are the main factors to be considered in the thoracic injury. Journal of College of Medical Sciences-Nepal, 2013, Vol-9, No-1, 30-39 DOI: http://dx.doi.org/10.3126/jcmsn.v9i1.9671

scholarly journals Speeding Intention among Young Urban Drivers

2017 ◽  
Vol 2 (7) ◽  
pp. 43
Author(s):  
Dayang Norfazila Abang Mustaffa ◽  
Mohamad Ghazali Masuri ◽  
Akehsan Dahlan ◽  
Khairil Anuar Md. Isa
Keyword(s):  
Open Access ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Publishing House ◽  
Road Traffic Accidents ◽  
Behavior Intention ◽  
Young Drivers ◽  
Significant Difference ◽  
International Publishing ◽  
Open Access Article

The number of road traffic accidents among young adult aged under 25 years old is an alarming issue in Malaysia. A five pages self-reported questionnaire was distributed to 384 young drivers' to investigate their intention in speeding while driving. Results have shown, the intention to speed among low and high intended based line group revealed a significant difference when it was compared with four types of scenario. Correct stimulation while driving could help drivers to change their intention to speed. This stimulation may be able to reduce the drivers' potential to involve with an accident and will save peoples' life.Keywords: Speeding behavior; intention to speed; young driver’s; urban university2398-4295 © 2017 The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, UniversitiTeknologi MARA, Malaysia.

scholarly journals Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity

2021 ◽  
Vol 18 (13) ◽  
pp. 7155
Author(s):  
Susana García-Herrero ◽  
Juan Diego Febres ◽  
Wafa Boulagouas ◽  
José Manuel Gutiérrez ◽  
Miguel Ángel Mariscal Saldaña
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Learning Algorithm ◽  
Distracted Driving ◽  
Road Traffic Accidents ◽  
The Road ◽  
Young Drivers ◽  
Gender And Age ◽  
Serious Injuries ◽  
The Impact

Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.

scholarly journals The Intention in Speeding Behavior between Low and High Intended Young Driver in Urban University

2016 ◽  
Vol 1 (1) ◽  
pp. 330
Author(s):  
Mohamad Ghazali Masuri ◽  
Dayang Norfazila Abang Mustaffa ◽  
Akehsan Dahlan ◽  
Khairil Anuar Md. Isa
Keyword(s):  
Young Adult ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Publishing House ◽  
Road Traffic Accidents ◽  
Behavior Intention ◽  
Young Drivers ◽  
Significant Difference ◽  
Urban University ◽  
International Publishing

The number of road traffic accidents among young adult aged under 25 years old is an alarming issue in Malaysia. A five pages self-reported questionnaire was distributed to 384 young drivers' to investigate their intention in speeding while driving. Results have shown, the intention to speed among low and high intended based line group revealed a significant difference when it was compared with four types of scenario. Correct stimulation while driving could help drivers to change their intention to speed. This stimulation may be able to reduce the drivers' potential to involve with an accident and will save peoples' life.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies, Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Speeding behavior; intention to speed; young driver’s; urban university

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Positive Aspects of COVID 19 Pandemic: A Blessing in Disguis

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 187-191
Author(s):  
Anjankar Ashish P ◽  
Anjankar Vaibhav P ◽  
Anjankar Anil J ◽  
Kanyal Lata
Keyword(s):  
Air Pollution ◽  
Heart Attack ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Community Action ◽  
Crime Rates ◽  
Road Traffic Accidents ◽  
Positive Effects ◽  
Positive Side ◽  
The World

COVID 19 is undeniably one of the deadliest diseases that humanity has ever seen. It continues to affect the lives and livelihood of people appallingly across the world. Maximum discussions focus towards the apprehension of catching the infection, dwelling in homes, overpopulated nursing homes and shut down of all kinds. But, here let’s discuss the positive side of COVID 19 pandemic.As COVID 19 has spread its influence all over the world, affected countries have either announced lockdown or have implemented severe restrictions in their respective countries. Because of this, everyone dwells in their homes. Thus, exercising social distancing and functioning from home. All of the above is directed at restricting the transmission of coronavirus and expectantly ostracising the fatality from COVID 19. These transformations have also brought about some unanticipated emanations; some good things have come out of the pandemic as well. Positive effects of COVID 19 are seen on reduced road traffic, and road traffic accidents lowered levels of air pollution which has to lead to lowered heart attack rates and rejuvenating environment. Crime rates have fallen, and expenses are reduced in most places. Community action, communication amongst families, behaviour, sanitation, hygiene, online and distance education has positively impacted by COVID 19 pandemic. COVID 19 despite a bane for humans, can be thought of a boon for living beings. The habitats and elements have been purified with the stringent use of petrochemical products. To breathe fresh air and to consume purified water is a boon by itself. Now, it is time for humans to lead a caring life to every bounty bestowed on them by Nature. This thoughtful and considerate life will give hope for a healthy, stress-free life.

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