SPATIAL AND TEMPORAL PATTERN OF ROAD ACCIDENTS AND CASUALTIES IN PENINSULAR MALAYSIA

2015 ◽  
Vol 76 (14) ◽  
Author(s):  
Shamsuddin Shahid ◽  
Anil Minhans ◽  
Othman Che Puan ◽  
Sitti Asmah Hasan ◽  
Tarmizi Ismail
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Seasonal Pattern ◽  
Temporal Analysis ◽  
Peninsular Malaysia ◽  
Road Accident ◽  
Spatial And Temporal Variation ◽  
Spatial And Temporal Variability ◽  
Road Traffic Accidents ◽  
Spatial And Temporal Patterns

Road traffic accidents are often found to follow some spatial and temporal patterns as the factors that influence road accident changes with space and time. Knowledge on spatial and temporal variability of accident can be helpful for optimizing resources in order to improve traffic security management. The objective of the present study is to assess the spatial and temporal variation in the incidence of road traffic accidents and casualties across the states of peninsular Malaysia. Recent trends in number of accidents, casualties and fatalities are also accessed using non-parametric statistical method. The results show more accidents but lower fatalities in more urbanized and developed states, and lower accident levels but more serious fatalities in less urbanized or developed states of Peninsular Malaysia. Trend analysis reveals increasing number of accidents, but decreasing number casualties in recent years in most of the states of Peninsular Malaysia. The temporal analysis shows clear seasonal pattern in accident in some states of Malaysia. Most of the accidents are found to occur in festive month of Hari Raya Puasa festival followed by the month of mid-year school holiday. It is expected that the finding of the study will help in making recommendations in order to improve road safety and reduce road traffic accident in Malaysia.

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 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 PROCESSING OF AEROPICTURES AT THE PLACE OF AN ACCIDENT ON THE WEB-PORTAL «INFORMATION AND ANALYTICAL CENTRE OF MONITORING OF ROAD TRAFFIC ACCIDENTS»

2020 ◽  
Vol 73 (4) ◽  
pp. 189-195
Author(s):  
Yuliya Atamanenko ◽  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Aerial Photographs ◽  
Road Traffic Accidents ◽  
Web Portal ◽  
The Web

The article presents theoretical substantiation of the methodological basis for use of aeropictures of unmanned aerial vehicles of the "micro" class, namely DJI Phantom 3 Professional and GIS-technologies during the mapping of the site of an accident. A structural and functional model of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" has been developed and implemented, which allows to fully use aerial photographs of unmanned aerial vehicles to increase the efficiency of road accident mapping technology. A step-by-step technological scheme for processing aerial photographs of the scene of accidents on the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is proposed. It should be noted that the structure of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" includes the subsection "Registration of a traffic accident report" and the subsection "Add a participant of an accident", which ensures the registration of personal materials of the participants of a road traffic accident. Thus, the result of registration of an accident on the web portal is the documentation of the registered accident in the form of a generated report, which includes personal materials of the participants of an accident and orthophotos of the scene of an accident. Thus, it is definite that the developed geo-information support of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is intended for collection, registration, mapping, formation and issuance of relevant documentation of an accident. The application of this innovative solution to the process of registration and mapping of road traffic accidents allows to solve a number of issues related to the process of registration and mapping of road accidents, namely: the issue of traffic jams will be resolved; the process of registration of road accident is automated; the accuracy and reliability of the made schemes of a place of a road traffic accident will increase; the number of controversial issues will decrease; the received materials can be used for other purposes (adoption of motivated decisions on court cases, execution of reasoned payments by insurance companies), and accordingly the corruption component will decrease.

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.

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