Road Accidents Research Articles

РАЗРАБОТКА МЕТОДИКИ ОЦЕНКИ ЭФФЕКТИВНОСТИ ИСПОЛЬЗОВАНИЯ СРЕДСТВ ИНДИВИДУАЛЬНОЙ МОБИЛЬНОСТИ В ГОРОДСКИХ УСЛОВИЯХ

The article is devoted to the problem of increasing the number of road accidents involving personal mobility aids (SIM). A new alternative to using a personal car is the use of a variety of personal protective equipment (SIM). SIM is a new era of development in the transport field. The devices began to gain particular popularity in Russia just a few years ago, and in foreign countries they are already actively used as a replacement for a personal car, developing the design and rules of use every year, thereby increasing safety.

Pancreatic Trauma: A Case Report

Pancreatic trauma has high morbidity and mortality rates, especially when other organs are injured. Delayed treatment significantly reduces survival, and duct injuries can lead to severe complications if undiagnosed. The American Association for the Surgery of Trauma introduced a Pancreas Injury Scale to improve management. A 49-year-old woman with multiple trauma from a road accident showed signs of pancreatic injury, including elevated lipase and peripancreatic fluid. A CT scan revealed pancreatic and liver injuries. The case highlights the difficulty of diagnosing pancreatic trauma, particularly in non-violent cases, and the importance of using CT scans for evaluation.

Efficient Deep Learning Methods for Detecting Road Accidents by Analyzing Traffic Accident Images

Speed is one of the major factors in car crashes. Many lives could have been saved if emergency services had been alerted to the disaster and arrived in time. For the sake of protecting valuable human lives, an effective automatic accident detection system with prompt reporting of the accident scene to emergency services is essential. Therefore, this research proposes some effective Deep Learning techniques that properly recognize the incidence of accidents. The paper introduces two different techniques for image classification, with a particular focus on distinguishing between accident and non-accident images. The dataset used for the proposed model is taken from Kaggle, which is a collection of CCTV images. The first approach is a hybridized TL-ML method that employs transfer learning techniques that use different pre-trained versions of convolutional neural networks to extract features from image datasets. These extracted features are then fed into various machine learning classifiers to categorize the images as either Accident or Non-accident. To make the final decision, a voting classifier is utilized to choose the best classification outcome from the set of previously employed machine learning classifiers. In the second method, a modified Convolutional Neural Network (CNN) called SpinalNet is adopted. The performance of these models was evaluated by comparing them with each other and with a customized CNN base model. SpinalNet consistently surpassed the other models in terms of Precision, Recall, F1-Score, and Accuracy, demonstrating its outstanding capabilities.

Fatal road traffic accidents and injuries: a preliminary study.

Road traffic accidents (RTAs) are a major public health problem globally and cause deaths, disability, and significant economic costs. In Italy, there was an increased number of road accidents, deaths, and injuries in 2022 compared to 2021, although still below pre-pandemic levels. A retrospective observational study was performed on a case series of 53 consecutive fatal RTAs examined by the Section of Forensic Medicine of Verona. The case series was divided, according to the type of victims involved, into pedestrians, car drivers, car passengers, and motorcyclists. For each, the times and causes of death, the distribution of external and internal injuries, and toxicological data were analysed, and the results were compared with those in the literature. Although this is a preliminary study on a small case series and lacks statistical validation, so more cases are needed, the preliminary results seem to provide a useful tool for assessing injuries in complex fatal road accidents.

Анализ состояния дорожно-транспортного травматизма, связанный со средствами индивидуальной мобильности в Хабаровском крае

This scientific article analyzes the situation related to road accidents occurring with personal vehicles in the Khabarovsk Territory. The analysis found that the main factors influencing the level of road accidents are speeding, violation of traffic rules and improper behavior of drivers. Most accidents occur with the participation of motorcycles, scooters and bicycles, which indicates insufficient road culture of the owners of such vehicles Purpose: to analyze the state of road traffic injuries associated with personal mobility devices in the Khabarovsk Territory. Methods: statistical analysis of data on road accidents in the Khabarovsk Territory for 2022. Results: dased on the results obtained, specific measures were proposed aimed at reducing the number of road accidents in the Khabarovsk Territory. One of the main directions of work is conducting educational work among the population about the need to comply with traffic rules and responsible behavior on the roads. Also important is the improvement of road infrastructure and the creation of safe conditions for the movement of pedestrians and cyclists. Practical importance: in general, the results of this study can be recommended to government agencies and road safety specialists when developing programs to reduce road accidents in the Khabarovsk Territory.

Assessment of Maxillofacial Trauma Due to Road Traffic Accidents in an Insecure Environment at Sominé Dolo Hospital in Mopti (Mali) from 2019-2023

Introduction: Maxillofacial trauma represents a social issue that continues to grow. According to WHO, 1.2 million people lose their lives each year on the road, or more than 3,000 deaths per day. The aim of this study is to evaluate the epidemiological, clinical and therapeutic aspects of maxillofacial trauma related to road accidents at Sominé Dolo Hospital in Mopti. Patients and Method: From 2019 to 2023, we conducted a descriptive cross-sectional study with retrospective collection on cases of maxillofacial trauma due to road traffic accidents at Sominé Dolo hospital in Mopti. Results: The frequency was 85.59%, the age was 28.37 years and a sex ratio of 5. The Bandiagara region represented 34.6% and that of Mopti 49.76%. 2-wheeled vehicles accounted for 60%. Open fractures accounted for 67.8%, located at the mandibular level 40.10%. Contention associated with osteosynthesis was performed in 49.1%. Discussion: In our study, the hospital frequency of maxillofacial trauma following a road traffic accident is 85.60%. This high frequency in our country could be explained by the non-compliance with the highway code, the poor condition of the roads, the multiplication of means of transport and the security situation. Conclusion: The increasing frequency of maxillofacial trauma over the years is a reality in Mopti (Mali) and poses a public health problem. Only early appropriate treatment and peace can minimize the sometimes serious and difficult to correct after-effects.

Forecasting the number of road accidents in Poland using trend models depending on the days of the week

Every year a very large number of people die on the roads. From year to year, the value decreases, there are still a very high number of them. The pandemic has reduced the number of road accidents, but the value is still very high. For this reason, it is necessary to know on which days the highest number of traffic accidents occur, and to know the forecast of accidents by day of the week for the coming years, so that we can do everything possible to minimize the number of traffic accidents. The purpose of the article is to make a forecast of the number of road accidents in Poland according to the day of the week. The research was divided into two parts. The first was the analysis of annual data from the Police statistics on the number of road accidents in Poland in 2000-2021, and on this basis the forecast of the number of road accidents for 2022-2031 was determined. The second part of the research, dealt with monthly data from 2000-2021. Again, the analyzed forecast for the period January 2022 - December 2023 was determined. The results of the study indicate that we can still expect a decline in the number of accidents in the coming years, which is particularly evident when analyzing annual data. It is worth noting that the prevailing pandemic distorts the results obtained. The research was conducted in MS Excel, using selected trend models.

Bacterial profile of wound site infections and evaluation of risk factors for sepsis among road traffic accident patients from Apex Trauma Centre, Northern India.

Background. Among the most significant yet often ignored health issues worldwide are trauma and accidental injuries. India accounts for 11% of global deaths in road accidents, the highest in the world, according to the World Bank report. There are limited data about the bacterial contamination of road traffic accident (RTA) wounds and their antibiotic susceptibility patterns. Materials and Methods. This prospective study was conducted in a tertiary care centre in northern India from January 2023 to January 2024. Wound deep swabs or aspirates were collected from RTA patients with traumatic injuries at different time intervals. Gram stain and culture were performed, and positive aerobic culture was subjected to antibiotic susceptibility testing. Organism identification was done using MALDI-TOF MS and routine biochemical tests. Blood samples were also collected to rule out bloodstream infections during follow-up if the patient became febrile or showed symptoms of systemic infection. Sepsis was defined in those patients who had two or more scores in the systemic inflammatory response syndrome criteria with a positive microbiological culture. Risk factors were evaluated for sepsis on the basis of the patient's vitals, injury characteristics, procalcitonin, Glasgow Coma Scale (GCS) score, need for mechanical ventilation and complete blood count, which were obtained from the patient's admission file. Results. A total of 189 wound samples were collected, of which 99 (52.38%) samples showed the growth of microorganisms. The aerobic isolates included 69 (69.69%) Gram-negative bacilli, of which the majority were Klebsiella pneumoniae, 28 (28.28%) Gram-positive cocci, of which the majority were Staphylococcus aureus and 2 (2.02%) anaerobic isolates. Among the Gram-negative isolates, none of the isolates were resistant to colistin. All S. aureus isolates were susceptible to vancomycin, teicoplanin and levonadifloxacin. Sepsis developed in 50 (26.45 %) patients. Significant risk factors evaluated for sepsis were a raised procalcitonin level, a low GCS score, a higher injury severity score, the need for mechanical ventilation and a raised quick sequential organ failure assessment score. Conclusion. It is essential to ascertain the profile of microorganisms isolated from RTA wounds in order to reduce antibiotic resistance and deliver efficient treatment.

Golden Jackal (Canis aureus) death by road accident in rural Bengal-insight the fact: a perception based eco-spatial clarification.

Golden jackal is one of the higher trophic level wild animals in rural Bengal. Their ecological significance is undeniable in regional ecosystems and biodiversity. But gradually they become threatened due to habitat contraction, road killing, poisoning and human persecution. The documentation of jackal death by road accident within the 12-km district highway which is a single lane bituminous road in Patshpur-I Community Development Block under Purba Medinipur district, India, reveals an unpredictable ecological circumstance (n-154). Jackals are killed by road accidents from 2022 to 2023. On behalf of this blameless situation, the present study conducted intensive observations, case studies and spatial-ecological analysis. The study also included stakeholder's perceptions to reach and relates the background of this fact. After observation and analysis, it has been found that the jackal deaths have a spatio-temporal signature and are connected with food and forage ground loss from their habitat-influenced area. Another outcome is that roadside habitat becomes an alternative food source and forage ground for them due to trench construction both alongside of the district highway and illegal dumping of meat wastes and domestic wastes. The seasonal biological activities of the jackals, local weather phenomena and car driver negligence are responsible for the accidental death of jackals along the district highway. Considering all the observed factors, the present study shared some reliable measures to control, protect and conserve this animal for balancing regional ecosystem as well as biodiversity in rural Bengal.

A Retrospective Evaluation of Mandibular Fracture in Kabul, Afghanistan.

The mandible, a key bone in the lower face, is prone to trauma. Although mandibular fractures are widely recognized as common and costly, there is a research gap on this topic in Afghanistan. This study explores the causes of lower jaw fractures and their link to demographic factors in the Afghan population. A retrospective analysis of 535 medical records from a Kabul tertiary hospital (March 2021 to March 2022) examined lower jaw fractures, patient demographics (age, sex), and injury causes. Statistical methods, including chi-square tests and Pearson's contingency coefficient, were employed to explore correlations between mandibular fractures and demographic factors. In this study, we analyzed 579 mandibular fractures in 535 patients, with road accidents (33.08%), falls (22.61%), and interpersonal conflicts being the leading causes. Most patients were aged 21-30, with single fractures being the most common (92.3%) and parasymphyseal fractures being the most prevalent (28.5%). Although certain fracture types were significantly correlated with age, no notable association was found between age and injury cause. This study reveals that road accidents, falls, and interpersonal conflicts are the main causes of lower jaw fractures in Kabul, with the highest incidence in individuals aged 21-30. These findings highlight the necessity for targeted public health interventions, such as improved road safety campaigns and stricter traffic regulation enforcement, to lower injury rates. Incorporating these insights into clinical practice can also help healthcare providers more effectively manage lower jaw fractures in affected populations.

IMPROVING ROAD SAFETY AT ACCIDENT-PRONE AREAS: A COMPARISON BETWEEN GLOW-IN-THE-DARK AND CONVENTIONAL ROAD MARKING

Driving at night is challenging due to poor vision, poor road visual guidance, and the need to encounter bright light sources. Factors like lack of street lighting, fading, and lack of reflectivity by road studs and retro-reflective materials affect road users' vision at night. Commentators have pointed out there is a critical demand to improve road safety in preventing road accidents and hazards that caused by the poor visibility of road markings and inadequacy lighting. Although road safety management has been given an important focus by the Ministry of Transportation Malaysia to achieve 50% reduction of road accidents by 2030, there is a critical demand to improve the present road markings method to overcome the issues of poor visibility or unclear road markings and inadequacy lighting that may trigger potential hazards to road users at night, with a new innovative road marking technology. Therefore, this paper is prepared with the objective to present the outcome of comparative study between the present conventional road markings and the newly innovative technology of glow-in-the-dark method with specific reference to the road safety management in Malaysia. This study employed a questionnaire survey to interview fifty-one (51) respondents that have experience of driving at night, with the objectives to get their opinions on present condition of road markings in Malaysia, and how the newly innovative technology glow-in-the-dark can improve road safety in Malaysia. The study outcome revealed that the glow-in-the-dark is deemed appropriate to enhance the visibility during low-light conditions as compared to the present conventional road markings. Although the initial cost is higher, the economic advantages of glow-in-the-dark in reducing the streetlight usage, lower electrical costs, and substantially extended lifespan have made this newly innovative road marking outweighed the downsides and economically wise choice to revolutionize road safety management practice at the accident-prone areas in Malaysia for achieving the SDG 3: Good Health and Well-being.

Differences in drivers’ risk behaviour behind the wheel in relation to road risk perception: Insights from a study on a group of Polish car drivers

Numerous risky driving behaviours are considered the main causes of road accidents. Meanwhile, a number of studies conducted so far indicate that perceiving a higher risk in a certain behaviour is associated with a lower tendency to engage in that behaviour. Accordingly, the aim of this study was to examine whether there are differences in specific types of risky behaviours behind the wheel in relation to drivers’ perceptions of road risk. The Road Traffic Behaviour Questionnaires KZD and KZD-P were used to evaluate, respectively, different risky behaviours and risk perceptions in road traffic. Two groups of Polish car drivers with similar average KZD scores but significantly different KZD-P scores, i.e., higher vs. lower, were compared. The profiles of the answers were statistically analysed. It was found that drivers with a lower risk perception were far more likely to engage in those behaviours that are the most commonly reported and directly endanger road safety, e.g., speeding and running a red light. Simultaneously, there were several unsafe driving behaviours, e.g., driving without a seatbelt or speaking on a mobile phone while driving, which were taken regardless of risk perception, i.e., even by the drivers who were aware of their riskiness. The results suggest that risk perception is a significant factor in preventing not all types but only selected hazardous behaviours in road traffic. The significance of the findings for traffic safety as well as ideas for further research in this area are discussed.

Criteria for neurosurgical treatment of children and adolescents with traumatic brain injury in a Brazilian level 1 trauma center.

Considering Glasgow Coma Scale (GCS) scores and brain CT scans in a group of children and adolescents with traumatic brain injury (TBI), the scope of this study was to identify the criteria established for the indication of emergency neurosurgical treatment in a level 1 trauma center. This was a cross-sectional study with consecutive review of medical records of children and adolescents < 17 years with TBI who were hospitalized and underwent neurosurgical treatment between January 2016 and December 2023. Two groups were formed for analysis: patients with GCS scores ≤ 8 versus patients with GCS scores > 8. Based on the GCS score and brain CT scan of each patient, the authors investigated the criteria established for the surgical indications in this group. In the period considered for the study, 376 children and adolescents with TBI were hospitalized and 31% required neurosurgical treatment. The median age was 5 years (interquartile range 1-11 years) and there was a predominance of males (68%). Home accidents predominated in 77% of children < 5 years of age, whereas road accidents predominated among those older than 5 (47%). Diffuse brain lesions on CT scans predominated in patients with GCS scores ≤ 8 when compared to the group with GCS scores > 8 (89% vs 19%; p < 0.0001). Regarding neurosurgical access, decompressive craniectomies (70%) and invasive intracranial pressure monitoring (44%) prevailed among patients with GCS scores ≤ 8, whereas craniotomies for drainage of intracranial hematomas (70%) and surgical correction of depressed skull fracture (21%) prevailed among those with GCS scores > 8. Based on the GCS scores and CT scans, the authors were able to define the criteria used for neurosurgical indications in a Brazilian level 1 trauma center. They found a high prevalence of decompressive craniectomy in patients with severe TBI in their department due to the irregular supply of disposable catheters necessary for intracranial pressure monitoring.

Epidemiological analysis of Road Accident Data Management System (RADMS) data in Tamil Nadu, India from 2011 to 2016: Future directions for an integrated national database

ABSTRACT Introduction: Globally, road traffic injuries (RTIs) are the eighth leading cause of death, with an estimated 1.35 million deaths yearly. In India, road traffic accidents (RTAs) are one of the major causes of mortality among the younger generation. We analyzed Tamil Nadu’s comprehensive Road Accident Data Management System (RADMS) data and described the epidemiological indicators of RTI in this setting. Methods: We obtained the data from the RADMS database for 2011–2016 and used 2011 population census data to project and standardize for different age groups and genders to calculate incidence. We calculated average annual percentage changes (AAPC) with a 95% confidence interval for the whole period. We computed Joinpoint regression analysis for trends and calculated the age-adjusted incidence rate with standard error (SE) using R statistical computing software. Results: We included 3,67,094 RTAs and 5,50,447 RTIs. We observed that the incidence of RTAs and RTIs declined between 2011 and 2016. Most injured were males (82%) and aged 20–39 years (49%). The highest number of accidents occurred on the state highways (65.2%) and on Sundays (17%). Age-adjusted incidence (per 1,00,000) declined from 121.87 (SE 0.4) in 2011 to 92.73 (SE 0.34) in 2016 (AAPC = -4.5% (95% CI = -7.8 to -1)). The age groups 30–39 and 20–29 were 9.82 (z = 8.98; P &lt; 0.05) and 9.02 (z = 8.65; P &lt; 0.05) times at a higher risk compared to 0–9 years old. The motorcyclists (14–27 times; P &lt; 0.05) and pedestrians (12–23 times; P &lt; 0.05) had the maximum risk of RTIs. Conclusion: Young adults, drivers, motorcyclists, and pedestrians remain vulnerable populations for RTIs. More accidents occurred in the state highways and on Sundays. The analysis provides insights on RTIs and RTAs, which will be used to reduce the burden of RTIs and save millions of lives.

Drink and drive? Understanding the dynamics of youth risk-taking.

We exploit a reduction in the minimum legal drinking age (MLDA) in New Zealand from 20 to 18 to study the dynamics of youth risk-taking. Using the universe of road accidents over 15years and an event history approach, we find no evidence that lowering the drinking age increased alcohol-related accidents among teens. Complementary results of a cohort analysis suggest that reducing the drinking age even led to a short-term decline in risky driving among youths directly affected by the MLDA change but had no longer-run impacts on youth risky driving and drinking behaviors.

Surgical treatment of Trapezo-metacarpal luxation

Introduction: Trapeziometacarpal dislocation, often resulting from violent trauma in young people, is generally diagnosed clinically and by imaging. It can cause instability of the first column and promote the development of rhizarthrosis . The treatment of fresh dislocations gives rise to debates between orthopedic and surgical approaches. This series reports a number of cases rarely exceeding fifteen. Material and method: This is a retrospective series of five cases of trapezio -metacarpal dislocation collected between January 2017 and October 2022 in the trauma-orthopedics department of Wing 4 of the Ibn Rochd University Hospital in Casablanca. Results: The patients were mainly men with an average age of 34 years, with lesions mainly located on the right side and caused by road accidents or falls. The diagnosis was confirmed by radiographs, mainly revealing isolated trapeziometacarpal dislocations. Treatment consisted of percutaneous metacarpo - trapezius pinning , with good short-term results for all patients. Discussion: Trapeziometacarpal dislocation is a rare pathology. Its diagnosis is based on radiological examinations and therapeutic approaches such as trapeziometacarpal pinning. Conclusion: Treatment by reduction followed by pin stabilization seems to offer satisfactory results for trapeziometacarpal dislocation.

Некоторые особенности осмотра места происшествия по уголовным делам о нарушении правил дорожного движения и эксплуатации транспортных средств

Currently, in conditions of intensive development of infrastructure, the main component of which is transport, one of the main tasks of the state remains to ensure road safety. Decree of the Government of the Russian Federation No. 1-r dated 08.01.2018 approved the Road Safety Strategy in the Russian Federation for 2018-2024, which defines the foundations for the formation and implementation of state policy in the field of road safety at various levels (federal, regional, municipal, intersectoral). Improving road safety and striving to achieve zero deaths in road accidents in 2030 is its goal. For 2024, the social risk indicator has been set as a target – no more than 4 deaths per 100,000 people. The article analyzes some features of the inspection of the scene of an accident in criminal cases of violation of traffic rules and operation.

Cervical ossification of the posterior longitudinal ligament revealed by cervical trauma: A case report with literature review

Background: Ossification of the posterior longitudinal ligament (OPLL) refers to bone formation within the posterior longitudinal ligament of the spinal column. This disease of the cervical spine results in a reduced volume of the spinal canal and can cause spinal cord damage. The onset of cervical OPLL is insidious. OPLL may increase the risk of spinal cord injury with various neurological deficits after minor trauma. An acute event can reveal a previously unknown or paucysymptomatic cervical OLLP. The aim: To present a case of unknown cervical OLLP revealed by cervical trauma after a traffic road accident. Case report: A 47-year-old female presented intractable cervicobrachial neuralgia in the posttraumatic aftermath of a traffic road accident. Computed Tomography (CT) and Magnetic resonance imaging (MRI) demonstrated an isolated OPLL from C5 to C6, causing significant nerve compression operated via anterior approach with discectomy and intervertebral cervical cage. Conclusion: Acute cervical trauma must be considered a mode of revelation of previously unknown or paucisymptomatic cervical OLLP and must be considered in the emergency room.

IOT- Based Potholes and Speed Breaker Detection

Abstract: Due to the rise in automobiles, climate change, and population density, there are now an alarmingly large number of potholes in the world. Understanding the physical features of potholes and their surroundings, such as the surfaces they appear on, the size and depth of common potholes, and the kinds of wear and tear that might result in pothole formation, is usually necessary for their identification. Itwould also require familiarity with technologies like deep learning and machine learning techniques that are frequently used for pothole identification. Poor road conditions are one of the major causes for road accidents. Developing countries in particular are witnessing in- creased accident rates due to these poor road conditions. Potholes, deep ridges, missing pitches, improper speed breakers, poorly constructed manhole covers and slabs all combine to greatly increase the probability of serious accidents thus transforming roads into obstacle courses. In this study we have developed a model to detect unwanted potholes, deep ridges and speed breakers using computer vision and machine learning tools. We have developed a customized dataset (called Bumpy) that we use to train our machine learning algorithms. In this paper we propose a method where we use the Tensorflow pre-trained model to detect the potholes, deep ridges and speed breakers. Our experimental results demonstrate high accuracy although there are many obstacles on the road.

ROAD ACCIDENTS IN URBAN AREAS IN ALGERIA. THE CASE OF THE CITIES OF CONSTANTINE AND ALI MENDJELI

Road safety is a major concern for countries around the world, as it is directly related to the sense of well-being. Road accidents have serious consequences for the victims and impose considerable economic burdens on the state, since their handling is delicate. The African continent, including Algeria, has a high accident rate. In this study, we chose the state of Constantine because of its national importance. Between 2020 and 2022, it recorded a significant number of accidents, particularly in the new town of Ali Mendjeli and the town of Constantine. These areas, with their dense populations and their high attractiveness due to the diversity of facilities they have, are experiencing very large flows and consequently considerable traffic. A territorial analysis of these accidents allows to highlight the dangerous areas, understand the causes and determine the types of victims. From which the identification of the sites most exposed to accidents has allowed us to identify many factors of this risk.