scholarly journals Situational Analysis of Road Traffic Accidents- A case of Madurai District rural areas, Tamil Nadu

2020 ◽  
Vol 32 (3) ◽  
pp. 554-558
Author(s):  
Vigneshwaran Subbiah Akkayasamy ◽  
Sigamani Panneer
Keyword(s):  
Rural Areas ◽  
Tamil Nadu ◽  
Traffic Accidents ◽  
Time Series Data ◽  
Road Traffic ◽  
Health Concern ◽  
Series Data ◽  
Situational Analysis ◽  
Road Traffic Accidents ◽  
Road Accidents

Background: Road traffic accidents (RTAs) have emerged as a major public health concern due to the growing number of motorized vehicles all over the world. In India, the burden of road traffic accidents is increasing and from 1991 to 2011, the number of fatal deaths has more than doubled. Madurai district is among road accident-prone regions of the state of Tamil Nadu. Objective: This paper aims to examine and understand trends and patterns of RTAs in rural areas of Madurai District between 2014-2018. Methods: The researchers collected RTAs data from Madurai District Crime Records Bureau. we have considered time-series data from 2014 to 2018 and the number and percentage of deaths by the distribution of relevant factors such as timing, gender, road type, and vehicles to understand holistic patterns of RTAs. Results: Totally 9950 road accidents were reported by Madurai District Crime Records Bureau between 2014 and 2018 and on an average over 1990 accidents have occurred every year. Nearly 40 per cent fatal accidents occurred between 15-21 h. Men were the victims in 87 per cent of deaths and men died 6.8 times higher than females during 2014-2018. Over 57 per cent of fatalities have occurred in National Highways. The proportion of two-wheelers contributed to road deaths is 28 per cent and two-wheelers caused maximum road deaths than other vehicles. Conclusion: The study shows a decreasing trend in road accidents and fatalities in Madurai district. However, a significant number of men dying in road accidents highlights the difficulties of their families.

scholarly journals Forecasting road traffic accident deaths in India using seasonal autoregressive integrated moving average model

2018 ◽  
Vol 5 (9) ◽  
pp. 3962
Author(s):  
Manikandan M. ◽  
Vishnu Prasad R. ◽  
Amit Kumar Mishra ◽  
Rajesh Kumar Konduru ◽  
Newtonraj A.
Keyword(s):  
Traffic Accidents ◽  
Time Series Data ◽  
Road Traffic ◽  
Moving Average ◽  
Arima Model ◽  
World Health ◽  
Series Data ◽  
Road Traffic Accidents ◽  
Increasing Trend ◽  
Health Organization

Background: As per World Health Organization (WHO) report 1.24 million people die each year as a result of road traffic accidents (RTA) globally. A vast majority of 20-50 million people suffer from non-fatal injuries, many of them ultimately end in disability. Forecasting RTA deaths could help in planning the intervention at the right time in an effective way.Methods: An attempt was made to forecast the RTA deaths in India with seasonal auto regressive integrated moving average (SARIMA) model. ARIMA model is one of the common methods which are used for forecasting variables as the method is very easy and requires only long time series data. The method of selection of appropriate ARIMA model has been explained in detail. Month wise RTA deaths for previous years data was collected from Govt. of India website. Data for 12 years (2001 to 2012) was extracted and appropriate ARIMA model was selected. Using the validated ARIMA model the RTA deaths are forecasted for 8 years (2013-2020).Results: The appropriate SARIMA (1,0,0) (2,1,0) 12 model was selected based on minimal AIC and BIC values. The forecasted RTA deaths show increasing trend overtime.Conclusions: There is an increasing trend in the forecasted numbers of road traffic accidental deaths and it also shows seasonality of RTA deaths with more number of accidents during the month of April and May in every years. It is recommended that the policy makers and transport authority should pay more attention to road traffic accidents and plan some effective intervention to reduce the burden of RTA deaths.

scholarly journals Time series modeling of road traffic accidents in Amhara Region

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kidane Alemtsega Getahun
Keyword(s):  
Time Series ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Time Series Data ◽  
Road Traffic ◽  
Series Data ◽  
Close Monitoring ◽  
Road Traffic Accidents ◽  
Amhara Region

AbstractRoad traffic accidents (RTA) are commonly encountered incidents that can cause injuries, death, and property damage to members of society. Ethiopia is one of the highest incident rates of road traffic accidents. Report of Transport and Communication from 2012 to 2014, shows an increment in the number of traffic accidents in Ethiopia. Amhara region accounted for 27.3% of the total road traffic accident-related deaths in Ethiopia during the year 2008/9, which is the highest share among all regions in Ethiopia. The current research aims to model the trend of injury, fatal and total road traffic accidents in the Amhara region from September 2013 to May 2017. Monthly reported traffic accidents were obtained from the traffic department of the Amhara region police commission. The most universal class of models for forecasting time series data called Auto-regressive Integrated Moving Averages (ARIMA) models were applied to model the trends and patterns of road traffic accident cases in the Amhara region. The average number of observed injury RTA, fatal RTA, and total RTA were 27.2, 14, and 78.2 per month respectively. It was observed that a relatively large number of RTA’s are reported on Tuesday, Thursday, and Saturday relative to other days of the week. The data also reveals that more than 60% of accidents involve drivers between the ages of 18–30 years. ARIMA (2,0,0) (1,0,0) ARIMA (2,0,0) and ARIMA (2,0,0) (1,1,0) were fitted as the best model for total injury accidents, fatal RTA and total RTA data respectively. A 48 months forecast was made based on the fitted models and it can be concluded that road traffic accident cases would continue at the non-decreasing rate in the Amhara region for the predicted periods. Therefore, the findings of this study draw attention to the importance of implementing improved better policies and close monitoring of road trafficking to change the existing non-decreasing trend of road traffic accidents in the region.

scholarly journals Time Series Modeling of Road Traffic Accidents in Amhara Region

2021 ◽  
Author(s):  
Kidane Alemtsega
Keyword(s):  
Time Series ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Time Series Data ◽  
Road Traffic ◽  
Series Data ◽  
Close Monitoring ◽  
Road Traffic Accidents ◽  
Amhara Region

Abstract Road traffic accidents are commonly encountered incidents that can cause injuries, death, and property damage to members of society. Ethiopia is one of the highest incident rates of road traffic accidents. Report of Transport and Communication from 2012–2014, shows an increment in the number of traffic accidents in Ethiopia. Amhara region accounted for 27.3% of the total road traffic accident-related deaths in Ethiopia during the year 2008/9, which is the highest share among all regions. The current research aims to model the trend of injury, fatal and total road traffic accidents in the Amhara region from September 2013 to May 2017. Monthly reported traffic accidents were obtained from traffic police offices and other concerned governmental organizations at the zonal and regional levels. The most universal class of models for forecasting time series data called Auto-regressive Integrated Moving Averages models are applied to model the trends and patterns of road traffic accident cases in the Amhara region. The average number of observed injury RTA, fatal RTA, and total RTA were 27.2, 14, and 78.2 per month respectively. It was observed that a relatively large number of RTA’S are reported on Tuesday, Thursday, and Saturday relative to other days of the week. The data also reveals that more than 60% of accidents involve drivers between the ages of 18–30 years. ARIMA (2,0,0) (1,0,0) ARIMA (2,0,0) and ARIMA (2,0,0) (1,1,0) were fitted as the best model for total injury accidents, fatal RTA and total RTA data respectively. A 48 months forecast was made based on the fitted models and it can be concluded that road traffic accident cases would continue at the non-decreasing rate in the Amhara region for the predicted periods. Therefore, the findings of this study draw attention to the importance of implementing improved better policies and close monitoring of road trafficking to change the existing trend of road traffic accidents in the region.

scholarly journals Traumatic and Nontraumatic Driving Accidents Due to Dry Spells in Northern Iran: A Time Series Analysis

2018 ◽  
Vol 10 (4) ◽  
pp. 723-730
Author(s):  
Enayatollah Homaie Rad ◽  
Shahrokh Yousefzadeh-Chabok ◽  
Zahra Mohtasham-Amiri ◽  
Naeima Khodadadi-Hasankiadeh ◽  
Ali Davoudi-Kiakalayeh ◽  
...  
Keyword(s):  
Time Series ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Dry Period ◽  
The Caspian Sea ◽  
Northern Iran ◽  
Dry Spells ◽  
Dry Spell

Abstract Driving in rain is very dangerous, and drivers seem not to drive properly whenever it rains. In such situations, the risk of driving increases on rainy days, especially after a prolonged dry period. This would be a problem for drivers steering on slippery roads. In this study, the effect of dry spells on road traffic accidents and resulting mortality in Rasht, Iran, located in the southern margin of the Caspian Sea, in a 3-yr period from 21 March 2014 to 19 March 2017 was examined using time series patterns. The results of the study showed that the first day after a dry spell had the greatest impact on road accidents and resulting injuries and deaths. It was also found that with increased length of a dry spell, the risk of accidents and related deaths and injuries rises.

scholarly journals Road Traffic Accidents by 'Nasimon' and 'Karimon'-A Study in Faridpur

2012 ◽  
Vol 7 (1) ◽  
pp. 6-9
Author(s):  
ASMJ Chowdhury ◽  
MS Alam ◽  
SK Biswas ◽  
RK Saha ◽  
AR Mondal ◽  
...  
Keyword(s):  
Low Socioeconomic Status ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Motor Vehicles ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
College Hospital ◽  
Medical College

Road traffic accidents in Bangladesh have been rapidly increasing with huge mortality through road accidents each year. There are many causes of road accidents in recent years; one important cause is running of locally made improvised three wheelers (flat bed tricycle) in the urban areas and also on the highways, popularly known as 'Nasimon' and 'Karimon'. This prospective study was carried out in Faridpur Medical College Hospital from January through June 2011, to study the accident patients caused by 'Nasimon' and 'Karimon'. Fifty six (12%) patients were of RTA by 'Nasimon' and 'Karimon' out of a total of 468 patients admitted into our hospital during this period. Most patients (41, 73.21%) were male, highest accidents (24, 42.86%) were observed among 21-30 years age group and most victims (33, 58.93%) were belonged to low socioeconomic status. Commonest (31, 55.36%) victims were passengers of 'Nasimon' and 'Karimon' while maximum number of accidents (46, 82.14%) took place in the urban areas and on the highways. Injury pattern of victims were similar to that found in any other road accident patients. These three wheelers 'Nasimon' and 'Karimon' are run in violating of Bangladesh Motor Vehicles Act (1983) as they are totally unfit for plying on the highways. Strict surveillance against these illegal and risky vehicles on the highways and in the urban areas by law enforcing agencies is required as a measure to reduce the burden of road accidents in our country.DOI: http://dx.doi.org/10.3329/fmcj.v7i1.10289Faridpur Med. Coll. J. 2012;7(1): 06-09

scholarly journals Delivery of First Aid to Victims in Road Transportation Accidents

2020 ◽  
Vol 9 (3) ◽  
pp. 417-421
Author(s):  
A. V. Baranov
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Human Life ◽  
First Aid ◽  
The State ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Road Transportation ◽  
Scientific Publications ◽  
Road Traffic Injuries

Relevance. Most of the victims of road accidents die prior to the arrival of medical staff, therefore, providing first aid to injured people in the first minutes after receiving injuries is very important for saving human life and health. Timely and skillful provision of first aid to victims of road accidents prevents further deterioration of the state of the human body and can positively affect the entire process of its further treatment and rehabilitation.Aim of study. To characterize the delivery of first aid to victims of road traffic accidents at the present stage and to outline possible ways for its improvement.Material and methods. To achieve this goal, an analysis was made of the results of domestic and foreign scientific research and regulatory legal acts on the issue of providing first aid to victims of road accidents. The literature search was carried out in specialized scientific search engines eLibrary, PubMed, Scopus using the keywords: first aid, prehospital stage, road traffic injuries, road traffic accidents. For the analysis, scientific articles published between 1980 and 2020 were selected. Resources with outdated or inaccurate information were excluded, some scientific papers were found by links to articles. The state of the problem of providing first aid to victims of road traffic injuries, for the most part, reflects scientific publications over the past ten years.

scholarly journals Driving Culture in Iran

2018 ◽  
Vol 35 (2) ◽  
pp. 107-111
Author(s):  
Shirin Saeidi
Keyword(s):  
Middle East ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Political Life ◽  
Internal Conflict ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Political Climate ◽  
Legal Structure ◽  
The Relationship

Driving Culture in Iran creatively explores the relationship between legalculture and citizenry formation in post-revolutionary Iran. Banakar focusseson driving customs and explanations for citizens’ disregard of trafficlaws, demonstrating that the exceptionally high rates of road accidents andlack of law abidance is due to the complex cultural and political climate. Themonograph argues that the state’s propaganda machine promotes revolutionaryzeal but in a context where people are penalized if they dissent (3). Consequently, dissension becomes a tool for control, setting into motionmultiple forms of internal conflict which are reflected in the way Iraniansrelate to one another as well as in increasing rates of road traffic accidents(4). The originality of the study rests in its exploration of political life atthe juncture of law and culture. Through his analysis of the unintendedcultural outcomes of the legal structure in Iran, Banakar contributes to ourunderstanding of citizenship formation in hybrid and religiously chargedregimes. In particular, the book illustrates how citizens’ distrust of the statecan have deadly consequences on Iran’s roads. The monograph will be ofinterest to academics and other professionals working on the Middle East,Islam, and from a multitude of disciplinary perspectives ...

scholarly journals Road Traffic Accidents Analysis Using Data Mining Techniques

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
G. Janani ◽  
N. Ramya Devi
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Association Rule Mining ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Rule Mining ◽  
Data Mining Techniques

Road Traffic Accidents (RTAs) are a major public concern, resulting in an estimated 1.2 million deaths and 50 million injuries worldwide each year. In the developing world, RTAs are among the leading cause of death and injury. Most of the analysis of road accident uses data mining techniques which provide productive results. The analysis of the accident locations can help in identifying certain road accident features that make a road accident to occur frequently in the locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. Data analysis has the capability to identify different reasons behind road accidents. In the existing system, k-means algorithm is applied to group the accident locations into three clusters. Then the association rule mining is used to characterize the locations. Most state of the art traffic management and information systems focus on data analysis and very few have been done in the sense of classification. So, the proposed system uses classification technique to predict the severity of the accident which will bring out the factors behind road accidents that occurred and a predictive model is constructed using fuzzy logic to predict the location wise accident frequency.

scholarly journals A Comparison of Nowruz 2016 and Nowruz 2017 Accidents Data in Iran

2020 ◽  
Vol 5 (2) ◽  
pp. 71-78
Author(s):  
Abdolmajid Rahmani Daranjani ◽  
◽  
Mahmoud Rezaeizadeh ◽  
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Road Transport ◽  
Warning Signs ◽  
World Health ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Factors Affecting ◽  
The World ◽  
On The Road

Background: Road traffic accidents are currently among the most essential public health issues. According to the World Health Organization, given the rapid growth of road transport globally, road traffic accidents could be the third leading cause of death and disability in the world by 2020. This article examined the role of the human factor in road accidents during the Nowruz holidays, as a major cultural event in Iran. Materials and Methods: We explored the data of road accidents that occurred in Nowruz in 2016 and 2017 in Iran. Traffic accident data concerning the Nowruz holidays of 2016 and 2017 were collected by census method of sampling and based on the report of highway police. Additionally, the frequency of these accidents was analyzed according to travel time, accident type, gender, age, education, and vehicle type in different provinces. Results: The present study findings suggested that among human factors affecting Nowruz accidents in 2016 and 2017, the highest frequency belonged to unnecessary speeding. As in 2016 and 2017, it was the main responsible characteristic for 56.42% and 55.01% of accidents, respectively. In Nowruz 2016, the provinces of Tehran, Khorasan Razavi, Isfahan, Fars, and Khuzestan; in Nowruz 2017, the provinces of Tehran, Isfahan, Khorasan Razavi, Fars, and Gilan encountered the highest rates of accidents leading to injuries and deaths. Conclusion: To control unnecessary speeding and regulations disregard, planning for culturizing and the community-level education are suggested. Besides, increasing the quality and intelligence of vehicles and the construction of sliders, vertical lines on the road, warning signs, and billboards could help reduce the rate of accidents. Creating a working group of experts in psychology, traffic, etc., to study the pathology of dangerous behaviors, useless haste, and disregard for regulations and providing solutions could also be effective.

scholarly journals Analysis Of Road Accidents Involving Children

2020 ◽  
Vol 02 (10) ◽  
pp. 25-27
Author(s):  
Ikromov Ikboljon Abdukhalilovich ◽  
◽  
Akhunov Javlon Abdujalilovich ◽  
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
New Technologies ◽  
Statistical Data ◽  
Road Traffic ◽  
Educational Institutions ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Safety Rules

The article presents the analysis of statistical data of drilling road accidents with children. Proposals are given for the development of new technologies for the prevention of injuries to children in road traffic accidents, as well as training them in road safety rules and ensuring the safety of pedestrians on the roads around educational institutions.

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