Risk Of Road Traffic Accidents Research Articles

Perception and Practices Towards Road Safety Rules and Regulations Amongst Pakistani Population

Background: Road traffic accidents (RTAs) remain a critical public health issue in densely populated urban areas like Latifabad, Hyderabad. Understanding the community's perception and practices towards road safety can inform targeted interventions to reduce RTAs. Objective: This study aims to explore the perception and practices regarding road traffic rules and regulations among residents of various units in Latifabad, Hyderabad, Pakistan. Methods: A cross-sectional descriptive study was conducted from March to August 2023 in Latifabad, Hyderabad. It involved 400 commuters aged 18 years and above, from either gender, residing in the area. Participants were included irrespective of their possession of a driving license, provided they consented to participate. Data on their perceptions and practices concerning road traffic were collected using a structured written questionnaire. Results: The participant demographic included 64.7% males and 35.3% females with an average age of 22.6 ± 1.2 years; the majority were students. Nearly half (48.0%) attributed poor road conditions as a primary cause of RTAs. Over half (57.0%) recognized driving without a valid license as an offense, with females significantly more aware (p<0.05) of the risks of improper overtaking and the links between illiteracy, irresponsible behavior, and increased RTAs. There was no significant difference in the scores for violations and lapses related to injury exposure, though a significant association was found between errors and injury exposure. Conclusion: Despite possessing adequate knowledge, participants frequently displayed a dismissive attitude towards compliance with traffic laws, normalizing risky behaviors and potentially increasing the risk of road traffic accidents and injuries.

Analysis of the Effectiveness of Motor Vehicle Insurance at PT. Jasa Raharja

This study aims to test the analysis of the effectiveness of motor vehicle insurance at PT. Jasa Raharja branch Medan. Insurance at PT. Jasa Raharja Motor are an effort to protect citizens, especially from the risk of road traffic accidents, to provide compensation to victims of traffic accidents or to their heirs. This research took 4 respondents, consisting of 1 employee PT. Jasa Raharja, and 3 people who were victims of traffic accidents, and received compensation funds. This method uses interview techniques. The interview technique was carried out in an unstructured manner using an interview guide. Research data analysis is descriptive. The results of this research indicate that PT. Jasa Raharja still seems to be good and consistent in carrying out its duties as a fund collector and distributor of traffic accident compensation funds. Traffic accident victims and recipients of compensation funds revealed that PT. Jasa Raharja is satisfied with the services provided. The benefits obtained at PT. Jasa Raharja are indeed effective and efficient because they have achieved the targets desired by PT. Jasa Raharja Branch Medan.

Statistical Analysis of Accident Patterns and The Causes at A State Road in Perlis

According to data from the World Health Organization, approximately 1.3 million road users are at high risk of road traffic accidents every year. This study aims to assess accident patterns and causes on a state road between Kangar and Alor Setar. The evaluation of accident pattern employed include the chi-squared test (CST) and the level of service (LOS) survey. Analysis using Pearson CST reveals that age and vehicle type are significant factors in accidents. Specifically, individuals below 30 years old have a higher likelihood of being involved in accidents (ρ= 0.037), while motorcycles are more prone to accidents (ρ= 0.000). However, gender does not appear to impact accident involvement significantly (ρ= 0.911). The LOS E category indicates unstable traffic flows during Monday and Friday evenings. To evaluate accident causes from the perspective of road users, a questionnaire was used, and its validity and reliability were ensured through a pilot study. Four hypotheses were developed, examining human factors, vehicle factors, environmental factors, and road condition factors as independent variables. The results reveal that a majority of road users (33.3%) travel 1 to 3 times per week, with 23.1% of them being involved in accidents on this road. The validity test using the structural model identifies road factors (t= 6.166, ρ= 0.000), vehicle factors (t= 4.3399, ρ= 0.000), and human factors (t= 2.893, ρ= 0.005) as the most significant contributors to accidents. Hence, it is crucial for authorities to prioritize countermeasures focusing on these factors to reduce accidents on this road.

The Burden of Comorbidities in Obstructive Sleep Apnea and the Pathophysiologic Mechanisms and Effects of CPAP

Micro-arousals and the repeated desaturation of oxyhemoglobin, which are typical in obstructive sleep apnea syndrome (OSAS), have adverse effects on the health of patients, leading to a wide range of complications such as cardiovascular (arterial hypertension, pulmonary hypertension, chronic heart failure, arrhythmias, myocardial infarction), cerebrovascular (strokes), metabolic (insulin resistance, obesity, diabetes mellitus, metabolic syndrome), gastrointestinal (non-alcoholic liver disease), urinary (chronic renal failure), and neuropsychiatric complications as well as a wide range of malignancies. These, in turn, have multilateral effects on familial, occupational, and social life, as well as increasing the risks of road traffic accidents and accidents at the workplace. Awareness, timely screening, and the prevention of complications play important roles in diagnosing and treating comorbid conditions. This review focuses on comorbidities in OSAS and the effect of Continuous Positive Airway Pressure (CPAP) therapy on their prognoses.

Effect of Human Factors on Road Traffic Accidents (RTAs): The Case of Hawassa City, SNRS, Ethiopia

This paper discusses the effects of human factors on RTAs in Hawassa city. The research intended to attain two specific objectives - first, to examine the human errors that obstruct road traffic safety, and second, to the significant human factors contributing to road traffic accidents (RTAs). The research has used qualitative and quantitative approaches to provide a variety of perspectives that can be studied. Simple descriptive analyses (mean, standard deviation, and percentage) using tables, graphs, and figures were conducted to analyze human factors' effect on road traffic accidents (RTAs) in the study area. Road traffic safety and improper utility and road use are considered factors affecting road traffic safety. The statistical analysis and result revealed that independent variables (speedy driving, drunken driving, distracted driving, road users neglecting) have a moderate correlation. However, they have a moderate, strong, and very strong relationship to the dependent variable, i.e., road traffic safety. In order to identify the main human factor contributing to road traffic accidents (RTAs), an analysis carried out by multiple linear regression analysis discovered four factors (independent variables) that significantly increase the risk of road traffic accidents (RTAs). Therefore, human factors have been identified to account for the occurrence of road traffic accidents (RTAs).

Evaluating the risk of road traffic accidents (RTAs) and the reaction time of individuals with attention deficit disorder(ADD) in the virtual environment: A study protocol using the Sahand driving simulator and the Vienna test system

Background. Road Traffic Accidents (RTAs) are one of the essential causes of mortality;therefore, it is crucial to investigate the influencing factors. Studies indicate that drivers with attention deficit disorder have weaker driving performance than others. Therefore, it is vital to evaluate their driving performance in various circumstances, given their distinctive driving patterns. Methods. In this methodological study, a total of 62 individuals in both genders, aged 18 to 59, 31 with Attention Deficit Hyperactivity Disorder (ADHD) and 31 in a control group were randomly referred to the Sahand driving simulator or take the tests of Vienna Test System (VTS),after a definitive diagnosis by a psychiatrist . This study protocol aims to compare the driving performance of ADHD drivers with that of control group drivers. In addition, a joint investigation of driving simulator assessments and the Vienna Test System (VTS) including Reaction time (RT) and Adaptive Tachistoscopic Traffic Perception Test (ATAVT) will be performed.

Electroconvulsive Therapy and Risk of Road Traffic Accidents: A Danish Register-Based Cohort Study.

The aim of the study is to examine whether electroconvulsive therapy (ECT) was associated with the subsequent risk of being involved in a road traffic accident. A cohort of all 375,435 patients older than 18 years with their first psychiatric hospital contact between 2003 and 2017 in the Danish National Patient Registry was followed for road traffic accidents until December 2018. Associations between ECT and road traffic accidents were examined using Cox regression analyses with multiple adjustments and using propensity score matching on sociodemographic and clinical variables. A total of 8486 patients (0.2%) were treated with ECT. During the median follow-up of 5.9 years, 778 of these patients (12.5%) were involved in a road traffic accident and the unadjusted incidence of road traffic accidents was lower among these patients (incidence rate, 15.5 per 1000 patient-years; 95% confidence interval [CI], 14.5-16.7) compared with patients not treated with ECT (incidence rate, 20.0 per 1000 patient-years; 95% CI, 20.0-20.3). Electroconvulsive therapy was not associated with road traffic accidents in the Cox regression models after adjustment for all covariables (hazard ratio, 1.00; 95% CI, 0.92-1.08) or in the propensity score-matched sample (hazard ratio, 0.91; 95% CI, 0.83-1.08). The HRs did not vary materially with follow-up time or when analyses were stratified on sex, age, or type of hospital contact. The analysis of Danish National registry data indicates that ECT is not associated with the risk of being involved in major road traffic accidents.

Traffic Sign Recognition and Classification Using Deep Convolution Neural Network

Traffic signs classification is that the process of identifying which class a traffic sign belongs to. There are several differing kinds of traffic signs like speed limits, no entry, turn left or right, etc. A neural network model based on deep learning is utilized to explore the traffic sign recognition (TSR) and expand the application of deep intelligent learning technology in the field of virtual reality (VR) image recognition, thereby assessing the road traffic safety risks and promoting the construction of intelligent transportation networks Firstly, a dual-path deep CNN (TDCNN) TSR model is constructed supported CNN, and recognition accuracy is calculated to research the training results of the model. Secondly, we assess the road traffic safety risks, and also the prediction and evaluation effects. Finally, the changes in safety risks of road traffic accidents are analyzed based on the two key influencing factors of the number of road intersections and the speed of vehicles traveling. The results show that the learning rate of the network model and the number of hidden neurons in the fully-connected layer directly affect the training results, and there are differences in the choices between the early and late training periods. It instantly assists drivers or automatic driving systems in detecting and recognizing traffic signs effectively. Key Words: Deep Convolutional Neural Network CNN, TensorFlow, Image Processing, ReLU Activation Function.

The Prevalence of Several Risky Driving Behaviors and Associated Crash Risk in Adolescent: A Population-Based Study of Tuscany Region.

Objectives: To evaluate the prevalence of numerous risky driving behaviors (RDBs) and the associated risk of road traffic accidents (RTA) in a population-based sample of adolescent drivers (14–19 years) of Tuscany, Italy. Methods: The frequency of participation -by age and sex- often RDBs were investigated: Multivariable analyses were performed to evaluate the association between RDBs and the risk of RTA and severe RTA. Results: 2,737 adolescents were included in the study. Talking to passenger(s), listening to loud music, speeding, and texting showed the highest weekly participation rates. For all the considered RDBs, the frequency of participation significantly increased with age. Males reported a significantly higher participation in speeding, DUI of alcohol or drugs; while females reported listening to loud music and talking to passenger(s) more frequently. All the considered RDBs were significantly associated with the risk of RTA and severe RTA. Conclusion: The prevalence of RDBs and the associated risk of RTA largely varied in adolescents. Findings provide evidence for tailoring prevention interventions and suggest the need to include common- but traditionally overlooked- RDBs in road safety campaigns.

Obstructive sleep apnea and road traffic accidents: a Danish nationwide cohort study

Study objectivesIn this nationwide study, we investigate the risk and severity of all road traffic accidents in patients with obstructive sleep apnea (OSA). MethodsWe used the unique Danish registries to identify all Danish citizens receiving a diagnosis of OSA between 1995 and 2015. As a reference cohort, we randomly selected 10 sex- and age-matched citizens for each patient. We used Poisson regression to calculate the incidens rate ratio (IRR) for all road traffic accidents (motor vehicle, bicycle, and pedestrian) in both groups, and Cox proportional regression analysis to compare risk of first motor vehicle accident. Lastly, we used Fischers’ Exact test to compare severity of motor vehicle accident between the two groups- ResultsWe identified 48,168 patients with OSA, covering up to 24 years of follow-up. Patients with OSA had an increased risk of road traffic accidents when compared with the reference cohort (hazard ratio, 1.15; 95% CI, 1.10–1.20; IRR: 1.19; 95% CI, 1.14–1.29), especially motor vehicle accidents (hazard ratio, 1.29; 95% CI, 1.18–1.39; IRR 1.30; 95% CI, 1.20–1.42). The risk of accidents as pedestrian or bicyclist were not increased. Further, patients with OSA had a tendency to be involved in more severe motor vehicle accidents. ConclusionsThis is the first nationwide study to estimate the risk of all road traffic accidents in patients with OSA. Our estimates show that patients with OSA have an increased risk of motor vehicle accidents, and greater severity of accidents, when compared with a large reference cohort.

The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis.

Traffic accidents cause considerable economic losses and injuries. Although the adverse effects of a change in ambient temperatures on human health have been widely documented, its effects on road traffic safety are still debated. This systematic review and meta-analysis was performed to synthesize available data on the association between ambient temperature and the risks of road traffic accidents (RTAs) and traffic accident injuries (TAIs). We searched 7 different databases to locate studies. The subgroup analyses were stratified by temperature type, temperature exposure, region, mean temperature, mortality, study period, statistical model, and source of injury data. This study was registered with PROSPERO under the number CRD42021264660. This is the first meta-analysis to investigate the association between ambient temperature and road traffic safety. A total of 34 high-temperature effect estimates were reported, and two additional studies reported the relationship between low temperatures and TAI risk. The meta-analysis results found a significant association between the high temperature and RTAs, and the pooled RR was 1.025 (95%CI 1.014, 1.035). The risk of TAI was also significantly associated with temperature increases. Subgroup analyses found that using daily mean temperatures, the RR value of road traffic accidents was 1.024 (95%CI 0.939, 1.116), and the RR value of road traffic injuries was 1.052 (95%CI 1.024, 1.080). Hourly temperatures significantly increased the risk of RTA, while the risk of TAI was not significantly increased by hourly temperature. The sensitivity analysis indicated that the results were stable, and no obvious publication bias was detected. The results of this systematic review and meta-analysis suggest that increases in ambient temperature are associated with an increased risk of RTAs and TAIs. These findings add to the evidence of the impact of ambient temperature on road traffic safety.

The development of first medical care support to victims of road traffic accidents: The publications review

The medical and demographic losses because of road traffic accidents continue to be significant in most of economically developed and developing countries. The national strategies of reducing medical and demographic losses include two groups of measures, depending on object of exposure: (1) targeted to decreasing risk of road traffic accidents and (2) targeted to timely and adequate medical care support of victims. Beyond this classification are activities targeted to developing and improving in participants of road traffic skills of first self-care and mutual assistance. The availability of mentioned skills is important for saving lives and preventing permanent disability of victims of road traffic accidents.

A comparative study on travel mode share, emission, and safety in five Vietnamese Cities

Motorcycles dominate current transport activities in Vietnamese cities; however, historical data show that bikes and public transport were popular as recently as 30 years ago. Because the transport infrastructure in Vietnamese cities makes it unsafe for cycling and inconvenient for public transport, many cyclists and public transport users switch to private motorized vehicles, particularly motorcycles, as soon as they can afford to make the change. The preference for motorcycles in Vietnamese cities has resulted in an increased risk of road traffic accidents and a degradation of air quality. Reducing the share of motorcycles on Vietnamese roads by improving public transport would be expected not only to improve public safety but also to have a positive impact on the environment and public health. However, efforts to improve the public transport have not yet been properly integrated into the local government system in every city. As the result, each city has different outcomes in mitigating the motorcycle-related challenges. This study examines travel behaviors in five major Vietnamese cities—Hanoi, Hai Phong, Da Nang, Ho Chi Minh City (HCMC), and Can Tho—and compares the impact of improved public transport on mode choice, emissions, and traffic safety. It is found that improving public transport would result in an 21.11 percent reduction in transport emissions by 2030 in Hanoi, as well as reductions of 12.5 percent in Hai Phong, 17.37 percent in Da Nang, 9.75 percent in HCMC, and 15.21 percent in Can Tho. The differences in these percentages are due to the heterogeneous modal shifts among cities. The provision of improved public transport is also shown to reduce the risk of road traffic accidents. The risk of a traffic fatality in Hanoi decreases by 49.6 percent, while in Hai Phong, the reduction is 43.8 percent; the risk in Can Tho, Da Nang and HCMC decreases by 18.7 percent, 19.8 percent, and 26.3 percent, respectively. As public transport investment is beginning to be adapted to the city context, our results indicate that investment capital on improving the public transport system would partly contribute on reducing emissions and traffic accidents in Vietnamese cities.

Prevalence of use of mobile phones while driving in Italy: results of a multicentric observational study

to provide an overview of the use of mobile phone in Italy while driving in the years 2015-2017. road side observational study. a sample of 145.107 drivers in 28 cities across the national territory with a resident population of more than 10 million inhabitants (17% of the Italian population). For each city, the survey was carried out in Urban (U), Sub-Urban (SU), and Extra-Urban (EXT) areas. Data were aggregated by three geographic areas: North, Centre and South. monitoring of the use of mobile phone when driving. the prevalence of mobile phone use when driving is 5.6% in the North, 4.1% in the Centre, and 6.3% in the South. The stratification by urban area also shows similar values (U: 5.3%; SU: 5.1%; EXT: 7.4%). a considerable prevalence of use of mobile phone when driving is observable throughout Italy, with substantially homogeneous values in different territories and in areas with different levels of urbanization. This behaviour increases the risk of road traffic accidents, according to scientific literature. Despite normative sanction of this behaviour, the prevalence is still high, even though comparable to what observed in other industrialized countries. Multilevel actions could be implemented, effective according to scientific literature, not limited only to the regulatory-sanctioning ones. The reduction of the use of the mobile phone while driving can have a significant impact for public health and traffic safety, because on the prevalence data of this study it is possible to assess that potentially up to 24,000 accidents/year could be avoided in Italy.

Obstructive Sleep Apnea in Obese Patients: a UK Population Analysis

BackgroundObstructive sleep apnea (OSA) is an increasingly common disorder associated with increased cardiovascular disease, mortality, reduced productivity, and an increased risk of road traffic accidents. A significant proportion of patients with OSA in the UK are undiagnosed. This study aims to identify risk factors for OSA in an obese cohort.MethodA population-based study was conducted of obese patients (BMI ≥ 30 kg/m2) from the Clinical Practice Research Datalink (CPRD). A logistic regression model was used to calculate odds ratios (ORs) for developing OSA according to other clinicopathological characteristics. Multivariate analysis was conducted of individual factors that affect the propensity to develop OSA. Statistical significance was defined as p < 0.050.ResultsFrom 276,600 obese patients identified during a data extraction of the CPRD in July 2017, the prevalence of OSA was 5.4%. The following risk factors were found to be independently associated with increased likelihood of OSA: male sex (OR = 3.273; p < 0.001), BMI class II (OR = 1.640; p < 0.001), BMI class III (OR = 3.768; p < 0.001), smoking (OR = 1.179; p < 0.001), COPD (OR = 1.722; p < 0.001), GERD (OR = 1.557; p < 0.001), hypothyroidism (OR = 1.311; p < 0.001), acromegaly (OR = 3.543; p < 0.001), and benzodiazepine use (OR = 1.492; p < 0.001). Bariatric surgery was associated with reduced risk of OSA amongst this obese population (OR = 0.260; p < 0.001).ConclusionsIn obese patients, there are numerous comorbidities that are associated with increased likelihood of OSA. These factors can help prompt clinicians to identify undiagnosed OSA. Bariatric surgery appears to be protective against developing OSA.

Риски дорожно-транспортных происшествий в Иркутской области

The article deals with the issue of road safety. The aim is to analyze the accident rate on the roads of rkutsk region and assess the risk of road traffic accidents (RTA). The research is based on statistical data. A comparative analysis of the risks of road accidents and the risks of death of road users is carried out. The risk of death in accidents is higher in Slyudyanka district than in Irkutsk region, which is due to the complex route and mountainous areas. The damage caused by road traffic accidents is increasing every year.

Mandibular Advancement Devices for OSA: An Alternative to CPAP?

Obstructive sleep apnea (OSA) is a prevalent condition causing unrefreshing sleep and excessive daytime sleepiness. It has individual socioeconomic impacts and, through association with increased risk of road traffic accidents, diabetes, and cardiovascular disease, OSA is a public health issue. Continuous positive airway pressure (CPAP) is the first-line treatment for moderate-to-severe OSA. It is effective in improving excessive daytime sleepiness and quality of life. There is also evidence that CPAP therapy has cardiovascular benefits although nature and extent remain uncertain. Despite its benefits, a significant proportion of patients are unable to tolerate CPAP. There are also patients with mild but symptomatic disease, for whom CPAP is usually not available or appropriate, so there is a need for other treatment options. Mandibular advancement devices (MADs) offer an effective alternative to CPAP and can improve daytime symptoms and quality of life. There are many devices available, representing a range of complexity and cost. It is challenging to properly evaluate the effectiveness of this ever-evolving range. The more basic MADs are cheaper and more accessible but are less well tolerated. More complex devices are better tolerated and may be more effective. However, they are more expensive and often require dental expertise, so access is more limited. Efforts continue to try to improve accessibility to effective MAD therapy. Alongside increasing awareness, this may be facilitated by developing and refining devices that could be fitted by non-dental clinicians, and potentially by patients themselves. Research efforts need to focus on determining how to efficiently identify patients who are likely to respond to MAD therapy, so as to improve clinical and cost-effectiveness of OSA therapy overall.

Important Aspects of Human Behavior in Road Traffic Accidents

AbstractWorldwide road traffic accidents have been increasing. Human behaviors and environmental factors are often responsible for such events. This being a serious public health concern, public health interventions are needed to minimize the rate of road traffic accidents. We aimed to identify broader human behaviors, sociodemographic factors, and environmental factors associated with the risk of road traffic accidents. We searched for the relevant studies in electronic database including PubMed, Cochrane, Web of Science, Google Scholar, and World Health Organization global health library. In addition, a manual search was also performed. Findings from scientific literature were presented in a summative form. Young age, male gender, speed, influence of substance, use of mobile phone, driving experience, temperament, attitude, aggression, stress, anxiety, emotionality, fatigue, lack of sleep, and road conditions were found closely associated with a risk of road traffic accidents. Despite having substantial driving training and ability to handling motor vehicles, professional drivers such as bus and taxi drivers are very vulnerable to road traffic accidents. This study reports that the increasing prevalence of road traffic accidents can be addressed significantly by applying behavior change theories. The health belief model was found useful in promoting safer driving.

Patterns of risky driving behaviors among Tuscan adolescent drivers: a cluster analysis

Abstract Background Adolescents have a high risk of road traffic accident (RTA) because of their high engagement in risky driving behaviors (RDBs); to date, very few studies have investigated the patterns of RDBs. The aim of the study is to identify distinctive RDBs patterns and to examine their associations with RTAs in a sample of adolescent drivers Methods The EDIT project is a cross-sectional survey carried out in a representative sample (6.824) of Tuscany Region students aged 14-19 years. The study analyses a subsample of students who reported to drive/ride at least once a week (2764). Self-reported frequency in the last year of the following RDBs was determined: talking on phone; texting; using GPS; talking to passengers; smoking; eating; listening to loud music; fatigued driving; speeding; and driving under the influence (DUI) of alcohol or drugs. A cluster analysis was conducted to identify RDBs patterns. A multivariate model was used to evaluate the difference in the risk of RTA across clusters; ANOVA and post-hoc pairwise comparisons were used to further characterize cluster membership Results Four distinct RDBs clusters were identified: “safe”(45.6%), “average”(21.8%), “careless but not DUI”(21.5%) and “reckless and DUI”(11.2%) drivers. When compared with “safe” drivers, “careless but not DUI” and “reckless and DUI” drivers showed a significantly higher risk of RTA (respectively, OR 1.68, 95%CI 1.29-2.18, p &amp;lt; 0.001; OR 2.88; 95%CI 2.10-3.95, p &amp;lt; 0.001). Clusters were characterized by several significant differences in sociodemographic variables, cell-phone use, quality of the relationships with parents, school performances, mental health and well-being, health behaviors, gaming, bullying and risky sexual behaviors Conclusions RDBs evidently occur in typical patterns that are linked with different RTA risks. Several domains of adolescent life seem to be involved in cluster membership. An awareness of this clustering enables to better targeting adolescents at higher risk of RTA Key messages RDBs occur in patterns in adolescents, and indicators of risky behaviors and of mental and social well-being may help to identify RDBs clusters at high risk of road traffic accidents. Multimodal prevention approaches in risky driving behaviors are likely to be more successful than targeting a single behavior in adolescents.

Risk of road-traffic accidents in the city of Kazan, Russia

According to the records of the World Health Organization for the year 2018, mortality rate due to road traffic accidents (RTAs) in Russia is equal to 18 RTAs per 100,000 citizens. It ranks Russia the 72th among all the other countries in the world. Statistics of the road traffic accidents occurring between 2013 and 2019 was analyzed in order to reveal the major reasons thereof. The method of levelling of longstanding tendencies by analytical dependencies was used for the evaluation of dynamics and predictions of RTA number. As a result, predicted number of RTAs in 2020 in case of linear dependency was equal to 2118 cases and 1816 cases in case of tendency line. Common RTAs include collisions, hitting of pedestrians and falling of passengers. Most RTAs occur near apartment buildings with death toll rise by 23 % (27 deaths 2018/2017) and 218 % rise (2018/2017) in the number of RTAs near nonresidential buildings.