scholarly journals Methods for Investigating Road Traffic Accidents Using Modern Automated Means

2019 ◽  
Vol 18 (3) ◽  
pp. 256-264
Author(s):  
O. V. Saraiev ◽  
S. V. Danez

The paper presents investigation methods which are aimed at increasing an accuracy in determination of parameters for movement of vehicles in the reconstruction process of road traffic accidents. The problems with a target to improve a method for calculation of vehicle movement speed and location coordinates at different time moments have been solved in the paper. In order to determine more accurately nature of vehicle damage and their location on carriageway, a laser scanning method has been applied which makes it possible to reduce an error while determining dimensions and distances, and to shorten time for an inspection of the road traffic accident place. The presence of a scanned image in three-dimensional form allows more accurately to simulate nature and angle concerning approach of vehicles prior to a collision. A methodological support for determination of vehicle movement parameters has been developed on the basis of the recorded data from driving video recorders (DVRs). It has been established that an error in measuring a speed of movement for vehicles will depend on quality of a video image, length of the investigated area and range of possible speeds. A relative error will be the higher, the smaller we have vehicle speed range and length of the investigated section. A mathematical model of vehicle speed change in a differential form has been compiled and solved in the paper. The model allows to calculate a speed of motion at different time moments with respect to recording from driving video recorders. In addition, the developed methodology permits more accurately to determine coordinates of vehicle location on a photoand video image. This is especially important while determining places of pedestrian-road accident or vehicle collision location of the collision or the place of collision with regard to the edge of carriageway. Unlike subjective research methods when initial data for carrying out auto-technical investigations are established by interviewing witnesses and the accused, the proposed methods make it possible to permit reconstruction of a road traffic accident exclusively by objective methods with the help of automated technical means.

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.


1982 ◽  
Vol 22 (3) ◽  
pp. 189-194 ◽  
Author(s):  
M. Rufus Crompton

An analysis of 208 cases of immediate death in a road traffic accident in which the blood alcohol was estimated, showed a definite characteristic distribution of varying blood alcohol levels in the various types of road users of differing age and sex.


2020 ◽  
Vol 15 (2) ◽  
pp. 213-217
Author(s):  
Md Moshiur Rahman ◽  
Farzana Zafreen ◽  
Abu Noman Mohammed Mosleh Uddin

Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents.  Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217


Author(s):  
Aaron Agbenyegah Agbo ◽  
Wen Feng Li ◽  
Lan Bo Zheng ◽  
Charles Atombo

Road traffic accidents are challenges the world is battling in recent times. Majority of increasing road fatalities occurs in developing countries. This study seeks to address part of the issues leading to mechanical failures and road traffic accidents in the developing countries with Ghana as a case study. The study model was validated with the use of a sample collected from 880 mechanics from six regions. The mechanics completed questionnaire measures of perception on used parts, brand new parts, mechanical failure, road accidents and demographic variables. In addition, observation and survey method were also used to collect the data on work quality. The result shows that mechanical failure and road traffic accident correlated positively with used parts and negatively correlated with brand new parts. The study model explained R2 = 0.46 and 0.65 of the variance in mechanical failure and road traffic accident respectively. The independent predictors of mechanical failure were age, gender, experience, perception about used parts and work quality. The predictors of road traffic accident were experience, mechanical failure, perception about brand new parts and work quality. We conclude that the mechanical failure and road traffic accidents could be attributed to non-use of genuine parts, poor work quality standard and poor supervision during and after repairs. Remedial measures addressing these issues could reduce road traffic accident in Ghana.


2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani

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


2014 ◽  
Vol 4 (1) ◽  
pp. 81-84
Author(s):  
Neela Subba ◽  
Dipty Subba

Descriptive study with the aim to assess knowledge regarding prevention of road traffic accidents was done by administrating self-structured questionnaire among 100 adolescents (between 10-19 years) at Dharan Municipality. Questionnaire includes the information regarding demographic and knowledge about meaning, causes and prevention of road traffic accidents. Among the respondents 55% were male and 45% were female. Driver responsibility and not obeying traffic signals for occurrences of RTA, use of safety seat belts for minimizing Road Traffic Accident, were the most responses provided 85%, 91% and 81% respectively.  Overall, only 33.34% had good knowledge regarding prevention of road traffic accidents. The study concludes the need for knowledge about accident prevention.


2020 ◽  
Vol 07 (04) ◽  
pp. 18-23
Author(s):  
Saba Hashmi ◽  

The trend in road traffic accident injuries and fatality is becoming shocking in countries like India. Delhi is one of the top 5 states in India with highest reported road traffic accidents and injuries. After a road traffic accident, the first few minutes are critical, as measures taken during this time period can be lifesaving. Methods: The research approach adopted for the study was descriptive approach. The tool developed for the data collection was a structured knowledge questionnaire. Convenient sampling technique was adopted which consisted of 50 people among the employees working in Jamia Hamdard, New Delhi. The analysis was done by computing the frequencies and percentages. Results: Findings revealed that out of 50 sample (64%) had average knowledge on first aid in road traffic accidents, whereas 24% had good knowledge of first aid in road traffic accident and only 12% had poor knowledge of first aid in road traffic accident. Regarding utilization of first aid box in their vehicles, majority of the employees (77%) were found to be having good knowledge of utilization of first aid box in their vehicles. Only 23% had poor knowledge of utilization of first aid box in their vehicles. Conclusion: The study showed that majority of the subjects had average knowledge about first aid in road traffic accident and adequate first aid items in their first aid box.


2020 ◽  
Vol 7 (50) ◽  
pp. 3046-3049
Author(s):  
Sadhu Rama Mohana Rao ◽  
Avvaru Krishnaveni ◽  
Reddi Bindu ◽  
Ronanki Mounika

BACKGROUND Road Traffic Injuries (RTA's) are a major but neglected global public health problem requiring concerted efforts for effective and sustainable prevention. Road traffic accident is one of the major causes of morbidity and mortality in developing countries, including India. Srikakulam is the northern district in Andhra Pradesh state which has 194 kilometres of National Highway (NH) passing through it from Ichapuram to Pydibheemavaram. Frequent median openings, poorly designed access roads from the adjacent areas of highways and lack of effective enforcement to control wrong side vehicular movements on NH16 have led to an increase in number of road accidents in this region. We wanted to study the demographic distribution of cases, assess the nature and cause of deaths certified after post-mortem examinations, and evaluate the pattern and distribution of injuries associated with road traffic accidents. METHODS It is a record-based study, a total of 422 autopsies done in the year 2019 were studied, of which 131 were due to RTA's. Data regarding 131 RTA's was analysed using the records available with the Forensic Medicine department. Institutional Ethical Committee (IEC) approval was taken. RESULTS In our study, 78 % were men, and 22 % were women. 41 - 60 years age group showed the highest number of victims (38 %) (49). Head injuries were most common (54.6 %), followed by multiple injuries (27.6 %) and chest injuries (8.4 %). The study reported more accident-related deaths during the month of May (22 %), followed by April (11.4 %). CONCLUSIONS Head injuries and subdural & sub arachnoid hematoma are the leading causes of death from RTAs. KEYWORDS Autopsy, Cause of Death, Fatal Road Traffic Accidents, Injuries, Pattern of Injuries


2019 ◽  
Vol 20 (2) ◽  
pp. 123-132
Author(s):  
Temesgen Haile Hayidso ◽  
Dessalegn Obsi Gemeda ◽  
Ashenif Melese Abraham

Abstract Due to increasing human population and the number of vehicles, road traffic accident has significant influence on human life and economic development. In the present study, road traffic accident data of three years (2015-2017) were obtained from Hosanna Town Traffic Police Department, and Hosanna Town Transport Authority in Ethiopia. The Global Position System was used to know X, Y coordinates of the accident locations. Global Position System point data and accident data were added to road network data using the ‘Joins and relates’ function in ArcGIS. The results of the study showed a total of 241 Road traffic accidents (RTAs) were occurred in the town from which about 208 victims occurred on people and 33 damaged properties. Based on severity and frequencies of RTAs top nine hot spot areas were identified which requires high attention to protect people and property from damage and loss. Thus, the government and other concerned stakeholders should provide public education and awareness creation to reduce risk of fatalities and property damage due to RTAs in Hosanna town.


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