جستجوی مقالات مرتبط با کلیدواژه « car accidents » در نشریات گروه « پزشکی »

The rescue operation is dangerous during floods when the street surface is wet and the rescue vehicles moving fast. Rural roads are known with a high percentage of run-off-the-road crashes and accidents, mostly affected by the unsuitable and inappropriate speed of the car and failure to keep a safe side distance from the highway alignment. Determining the length of the vertical curve and the stopping distance depends on the speed parameter in the geometric design. This parameter depends on the traffic flow and the vehicle driver. 

The calculation of distance visibility, especially in the vertical and horizontal curves, has a significant role in the geometric design of roads and the safety of roads and drivers. This study investigates changes in two critical parameters of friction surface of pavement and vehicles’ speed on the probability of accidents. In the present study, by changing the speed parameter, namely, increasing speed and decreasing friction, and reducing the distance of vision, the required vertical curve is calculated and compared with the existing curve length. Thus, when the curve length does not match the required arch length, the accident’s probability increases. 

One of the study’s findings indicates that with a 5% decrease in the friction coefficient of the vertical curve, the probability of accident increases by about 20%. The results show that an approximately 10% increase in speed can raise the likelihood of a crash by 25% on average.

The use of accident reduction-related strategies for rescue vehicles and ambulances will help the victims affected by natural disasters. The results showed that choosing the right speed is very important in flooded wet streets. Driving fast to speed up the relief operation not only increases the risk of traffic accidents but also slows down the relief of natural disasters. The results indicate the proper performance of the model created by the probabilistic method. Besides, this model’s use has the advantage of correctly identifying the factors affecting the increase in risk. Also, it helps to take the right measures to increase safety in the relief of natural disasters, especially floods.

Every year many people are killed or injured in road accidents. The first step in planning to reduce accidents is to identify the causes of accidents. This study aimed to investigate and identify the causes and factors affecting the incidence and the severity of road accidents as a major issue in Ilam Province, Iran.

This research is a descriptive study with an analytical approach. Descriptive and inferential statistics indices were used for statistical analysis. A researcher-made questionnaire as fieldwork was used to investigate the factors affecting accidents. Friedman test was used in the analytical study of the data obtained from the questionnaires. The study population included all drivers of the public suburban fleet, including taxis, minibusses, and buses on the Ilam Province. Out of 190 drivers, a sample size of 127 was selected using a Cochran formula.

From the drivers’ point of view, the main causes of public fleet accidents on the roads of Ilam Province are the quality and technical issues of the roads. Interviewees believed that dangerous turns, low width, poor road quality, and inadequate traffic signs are the main causes of accidents. After that, human factors are in the second place, including high speed and overturning, left-sway, and unmanageable rush, emphasizing the two factors of high speed and overtaking. The technical and qualitative factors of the vessels are in third place. Finally, the environmental and natural factors are in fourth place.

Because the drivers consider the quality and technical issues of the roads as the main causes of traffic accidents in the transportation axes of Ilam Province, it is necessary to review and repair these transportation axes.

Traffic events are among the greatest health problems which are ignored among other health issues. The treatments related to these events can involve individuals for a long period of time.

This study aimed to predict the mortality resulting from car accidents in injured individuals referring to Shiraz Shahid Rajaee hospital.

This study was conducted on all the patients hospitalized in Shahid Rajaee hospital due to traffic events during 2010 to 2016. The best models of various instruments including auto correlation function (ACF), partial auto correlation function (PACF), and Akaike information criterion (AIC) statistics were used for identification and fitting. Moreover, normality and statistics were taken into consideration in order to determine the validation of residual diagram’s pattern. Then, the best model was selected and analyzed using ITSM, SPSS 19, and Excel software.

Mortality followed an ascending trend in this study. Among male patients, mortality trend was relatively fixed, but showed an increasing slope in some months of the year. However, this trend increased continuously in females. Considering different age groups, mortality followed a relatively fixed trend in below-30-year-old individuals, an increasing trend among the individuals between 30 and 45 years of age, and a steeper slope among above-45-year-old ones. Moreover, the prediction models indicated that the majority of the accidents had taken place during spring and summer.

The mortality resulting from car accidents followed an increasing trend. This can be attributed to the increasing number of cars in Shiraz, economic changes in Iran, and the country’s movement towards development which lead to a decrease in motorcycle events and an increase in the car accidents. Moreover, the majority of accidents leading to death had taken place in May and September. This can be related to tourist attraction of this province during these months.