scholarly journals Identification of Road Accident by using Black Spot Method Between Panthaghati to Dhalli Road

2020 ◽  
Vol 9 (2) ◽  
pp. 723-728
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Research Paper ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Black Spots

In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics.

Road Macula Analysis and Evaluation

2011 ◽  
Vol 97-98 ◽  
pp. 360-366
Author(s):  
Jian Cheng Sun ◽  
Lin Song Wang
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Road Accident ◽  
The Road ◽  
Discriminant Model ◽  
Road Traffic Safety ◽  
Black Spots

The subject Introduced the analysis method of the black-spot, established the black-spot discriminant model, And gave its algorithm. According to the characteristics of China's traffic flow, we develope black-spot database, so that the work of the black-spot identification can be quickly carried out。The Road black-spot traffic accidents describes the road sections which have significantly higher accident rate than the average level . Road black-spots identification, analysis and processing are widely considered to be the most efficient way to prevent traffic accidents. The identification of Road accident black-spots is the concern of road design, road safety review, operation management, and security studies , The research studies of road black-spot identification,and determines risk road sections, so that countermeasures can be put forward, and we can achieve the goals of design improvement, strengthen management, improvement of road safety operation environment, decrease of the number of traffic accidents and improvement of the whole road traffic safety performance.

scholarly journals Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani
Keyword(s):  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Accident Analysis ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Black Spots

Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

scholarly journals Road Accidental Analysis and Identify the Black Spot

2020 ◽  
Vol 5 (8) ◽  
pp. 871-876
Author(s):  
Jaffar Hussian Meer ◽  
Sukhdeep Singh ◽  
Komalpreet Singh
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Motor Vehicles ◽  
Road Accidents ◽  
The Road ◽  
Black Spots ◽  
On The Road ◽  
Adverse Influence ◽  
Capital Development

The increase in motor vehicles accompanied with expansion of roads has brought with it the challenge of addressing the adverse influence of road traffic accidents. Road incidents are a nationwide cataclysm with ever increasing trend which incurs a human health and development challenge and highly affect the human capital development of every nation. A mortality rate database (WHO, 2002) assures that India has highest number of accidents. Accident Black Spots are those locations on the road which have higher severity of accident either in terms of numbers or in terms of injuries. In this paper, efforts have been made to identify the location of accident black spots on national highway from singhpora pattan to panthachowk srinagar.The present era accidents are contributing major deaths worldwide due to increase in vehicular traffic.It has been estimated that every year 1.38 lakh lose their limbs and 6 lakh people get injured in road accidents in india.our country incurs a loss of 58000 crore each year due to road accidents. The most used roads to travel from jalandhar in punjab to uri in kashmir is NH-1A.The old name for NH-44 is NH-1A which was replaced after renumbering of all national highways in year 2010. In this report,the analysis includes study of some major accident spots or busy intersections in the NH-1A in between Pantha chowkh Srinagar to Singhpora Pattan.The study includes visiting sites,collecting required data for analysis and derives the results and remedies from what we had got. This report will be containing the material surveyed,pictures of road at different locations ,road details,figures,material for understanding of the unknown and finally the conclusion

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 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 study to assess the knowledge and practice of road safety measures among undergraduate medical students of M. R. Medical College, Kalaburagi

2018 ◽  
Vol 5 (4) ◽  
pp. 1596 ◽  
Author(s):  
Lakshmi R. Kalbandkeri ◽  
Boramma G. ◽  
Shreeshail Ghooli
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
World Health ◽  
Road Traffic Accidents ◽  
Undergraduate Medical Students ◽  
Safety Measures ◽  
The Road ◽  
Medical College ◽  
Knowledge And Practice

Background: Road traffic injuries claim more than 1.25 million lives each year and have a huge impact on health and development. They are the leading cause of death among young people aged between 15 and 29 years globally. In the South East Asian region of the World Health Organization, India alone accounted for 73 percent of these Road traffic accidents (RTA) burden. The importance of road safety measures needs to be emphasized in the prevention of the road traffic accidents. The objectives of the study were to assess the knowledge and practice of road safety measures among undergraduate medical students.Methods: A cross-sectional study was conducted among 310 medical undergraduates of M.R. Medical College from 1st September to 1st October 2016. Data was collected using pre-tested, semi-structured, self-administered questionnaire. The data collected was analyzed using SPSS version 16. Statistical analysis was done using relevant statistical tests.Results: Out of the 310 students 54.19% were males and 45.81% were females. 90.9% of the participants had driving licence, 32.1% of the students had taken training for driving the car and 66% of the students did not wear helmet. Female students had high knowledge of the road safety measures when compared to male students.Conclusions: The overall knowledge of road safety measures was high among the study participants. Regarding practice behaviours they were not desirable like practice of wearing helmet and exceeding speed limit. Undertaking proper road safety measures are the best available interventions to curb the epidemic of RTA.

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.

scholarly journals Road traffic injury among pedestrians: an emerging research focus in Bangladesh

KYAMC Journal ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Mushtaq Ahmad ◽  
Farial Naima Rahman ◽  
Md Zubaidur Rahman ◽  
Prodip Biswas
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Cross Sectional Study ◽  
Road Traffic Injury ◽  
Road Accident ◽  
Primary Data ◽  
Road Traffic Accidents ◽  
Cross Sectional ◽  
Limb Bones ◽  
The Road

Background: Road traffic accidents (RTA) are responsible for greatest number of injuries and fatalities world wide by killing around 1.2 million people each year and injuring 50 million. Pedestrians are the most common victims of RTAs.Objectives: This study has been done to find out the epidemiological factors, socio demographic characteristics and the clinical injury pattern among pedestrians injured by Road Traffic Accidents in Dhaka City.Materials & Methods: This descriptive cross sectional study done from December 2015 to September 2016 at three tertiary level referral hospital in Dhaka. One hundred fifty two (pedestrians) were selected purposively as research sample with 95% confidence level and 5% confidence interval. The primary data was collected from the patients who were discharged from hospital by face to face exit interview using a semi-structured questionnaire.Results: Among 152 pedestrian victims interviewed; 88(58%) were male. Maximum accidents occurred at daytime 63 (41.45 %), and on city main roads 68 (44 %). Highest number of accidents were caused by buses 44 (36.09 %) and highest incidence of RTA 60(39.47%) was observed among the age group 21 to 30 yrs. Most of the victims 129( 84.85%) were knocked down by the vehicles while crossing the roads (hit and run injury), 114(75.00%) were from earning group below 15,000 taka per month, 121(79.61%) never use foot over bridge, 78(51.32)% were using mobile phone while crossing the road. 152(100%) victims had multiple abrasion and bruise, 94(61.84%) had lacerations, 64(42.10%) had fracture of upper limb bones, 53(34.87%) had fracture of lower limb bones and 53(34.87%) had haematoma in soft tissue over skull.Conclusion: Road accident and its severity can be prevented by strict application of traffic rules , motivation of public and proper training of drivers.KYAMC Journal Vol. 9, No.-1, April 2018, Page 11-15

scholarly journals Characteristic of Car Crash in North of Iraq

2020 ◽  
Vol 9 (1) ◽  
pp. 15-21
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Minimum Degree ◽  
Road Traffic Accidents ◽  
The Road ◽  
Car Crash ◽  
North Iraq ◽  
Car Crashes

Road Traffic Accidents (RTAs) are a significant predicament in idiom of fatality and morbidness confronting the road clients just as the Vehicles transportation and road specialists. The Iraqi populace has expanded by 45% and numeral of vehicles by 3 times during last 18 years. Subsequently, these enhancements were sadly joined with ascending the car crashes numeral, death and grimness. Besides the compassionate catastrophes, consistently, there are significant financial mislaying in north Iraq because of the pandemic of RTAs. predetermined the essential of comprehension, the synergetic agents identified with RTAs for the usage by congestion vehicles and road specialists to ameliorate the road safety road auto collisions are incidents that abruptly, unintentionally and out of the blue happen under unanticipated conditions that include in any event one mobile car and consequence in at least one road clients being slaughtered or harmed. Road auto collisions are difficult to annihilate. In any case, their commonness can be decreased to the minimum degree by means of intermittent appraisals of auto collision attributes and the most significant viewpoints for road administration to think about when structuring, planning and assessing the implementation of a road to recuperate transportation and road clients' safety. Thus, the essential target of this study is to assess car crashes in north of Iraq utilizing a review investigation of mishaps that happened from 2016–2018 mulling over the accompanying parameters: the reason for the mishap, sort and the number of vehicles engaged with the mishap, the hour of the mishap, the seriousness of the mishap, the kind of mishap and the drivers age.

scholarly journals Przedsiębiorczość a bezpieczeństwo ruchu drogowego

2007 ◽  
Vol 3 ◽  
pp. 270-277
Author(s):  
Zbigniew Ożdżyński
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
National Council ◽  
The European Union ◽  
Road Accidents ◽  
National Education ◽  
The Road ◽  
Government Institutions

The article presents examples of activities and enterprising attitudes researched by the author in the field of the enterprise in the improvement of the road safety.  There are also presented the examples of enterprising activities of many institutions interested in this matter - from government-institutions, including the Department of the National Education, the Department of Transport and Building, the National Council of Traffic Safety, provincial Centres of Road Traffic, the Police and schools, to the over government institutions like European Parliament and Council and private driving schools.  The author presents the system of education about traffic safety - puts emphasis on activities of the driving schools - as an example of enterprising activities. The article gives examples of protecting pedestrians in road accidents. The article compares also the chosen indicators concerning traffic accidents in Poland and in chosen countries of the European Union in years 2000-2004.

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