scholarly journals Accident reconstruction and assessment of the cyclist`s injuries sustained in a car-bicycle collision

2021 ◽  
Vol 18 (2) ◽  
pp. 208-214
Author(s):  
S. A. Evtyukov ◽  
◽  
I. S. Brylev ◽  
M. M. Blinder ◽  
◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Dynamic Models ◽  
Road Traffic ◽  
Accident Reconstruction ◽  
Vehicle Speed ◽  
Regression Equations ◽  
Road Traffic Accidents ◽  
Factors Influencing ◽  
Wheeled Vehicle ◽  
Severity Degree

The aim of this study was to study the movement kinematics of a two-wheeled vehicle (TWV) and the factors influencing the severity degree of injuries sustained by a cyclist in a collision with a car by modeling using the MADYMO software (MAthematic DYnamic MOdels). The analysis of the influence of the vehicle speed on the severity degree of injury at a certain moment of collision is carried out. It has been determined that an increase in vehicle speed has a direct effect on an increase in the cyclist's kickback distance. A quantitative assessment of the factors influencing the severity degree of injuries in road traffic accidents is given. Graphs were built and regression equations were obtained depending on the speed of the car and the time of the collision.

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
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Video Image ◽  
Vehicle Speed ◽  
Road Traffic Accidents ◽  
Reconstruction Process ◽  
Vehicle Movement

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.

scholarly journals ROAD TRAFFIC ACCIDENTS

2007 ◽  
Vol 14 (02) ◽  
pp. 323-327 ◽  
Author(s):  
MOHAMMAD HUSSAIN KHAN ◽  
Tariq Sohail Babar ◽  
IFTIKHAR AHMED ◽  
Khalid Shakeel Babar ◽  
NIAMATULLAH ZIA
Keyword(s):  
Developing Countries ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Cost Effective ◽  
Cross Sectional Study ◽  
Vehicle Speed ◽  
Age Group ◽  
Road Traffic Accidents ◽  
Cross Sectional ◽  
Safety Interventions

Context : Road traffic accidents are a major yet neglected publichealth problem in developing countries. Trends in motorization indicate an increase in road traffic injuries;furthermore, by 2020, they could rank third in the order of burden of disease Road traffic accidents are an importantyet preventable cause of death and disability in developing countries, like Pakistan. Objective: To explorepreventable aspects of the road traffic accidents. Design: Cross sectional study Setting: Casualty department ofDistrict Head Quarter Teaching hospital Dera Ismail Khan. Patients & Methods: All non-fatal and non-comatosecases of road traffic accidents victims reporting to casualty department were included in the study. The victims ofthe accidents were interviewed to obtain information about circumstances leading to accidents. The informationcollected comprised: time of accidents, nature of injury, narcotic consumption of driver, condition of road andvehicle, safety belts, road signs and vehicle speed beside demographic characteristics of respondents. Results:Age revealed that age group 21-25 years were highly affected 18 % while age group 51-55 years were leastaffected 2 %. Among them were male 76 % and were female 24%. 93 victims belong to rural area ( 62%) while 57were from urban (38%). Among victims, 37% were motorcyclist, 23% bicyclist , 22% motorized two-wheelers and18% bus users. The accidents were more common during the daytime in 100 cases (66%). Fractures of bones wascommon injury in 90 cases (60%) afflicted to the victims followed by multiple injuries like blunt injuries, abrasionsand lacerations. Among victims , only 2% used protective helmets. All helmet users were motorcyclists. No seatbelts were found to have been used by the victims. There was no evidence of any narcotics consumption by thedriver prior to accidents. Conclusion: Road traffic accidents are predictable and preventable but good data isimportant to understand the ways in which road safety interventions can be effective. Cost-effective preventivemeasures can be designed to address this global problem.

scholarly journals Using Video to Validate Vehicle Speed Uncertainty in Vertical Side Collisions

2017 ◽  
Vol 45 (4) ◽  
pp. 211
Author(s):  
Jianjun Yang ◽  
Dawei Dong ◽  
Pingfei Li ◽  
Tao Liang ◽  
Zhiyong Zhang
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
High Reliability ◽  
Accident Reconstruction ◽  
Vehicle Speed ◽  
Surveillance Video ◽  
Vertical Side ◽  
Uncertainty Factors ◽  
Vehicle Collision ◽  
Calculation Results

Vehicle speed access is an important part of road traffic accidents. Many factors affect the speed of the vehicle in vertical side collisions. Uncertainty in speed calculations related to vehicle collision was researched. The main parameters which have a greater impact on the speed of calculation results were discussed. And speed calculation methods based on uncertainty factors have been analyzed. By use of the vehicle vertical side collisions case, the speed of uncertainty has been carried out. Combined with accident surveillance video, the video picture computed speed and uncertainty factors obtained speed were compared. The results showed that selected road adhesion coefficient, vehicle weight and other parameters as the uncertainty factors, the use of uncertainty obtained speed with high reliability of forensic, which can be used in accident reconstruction.

scholarly journals Improvement of the method for determining the distance between vehicles by photographic images during road traffic accident reconstruction

2021 ◽  
Vol 18 (1) ◽  
pp. 140-148
Author(s):  
S. A. Evtyukov ◽  
◽  
I. V. Vorozheikin ◽  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Fuzzy Neural Network ◽  
Road Traffic ◽  
Accident Reconstruction ◽  
Road Traffic Accidents ◽  
Photographic Images ◽  
Fuzzy Neural ◽  
Materials Used

Some photographic materials used in the investigation of road traffic accidents are presented. The authors discuss the ways of improving the method of determining the distance between vehicles by photographic images in the reconstruction of a road traffic accident based on a fuzzy neural network.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

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.

Positive Aspects of COVID 19 Pandemic: A Blessing in Disguis

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 187-191
Author(s):  
Anjankar Ashish P ◽  
Anjankar Vaibhav P ◽  
Anjankar Anil J ◽  
Kanyal Lata
Keyword(s):  
Air Pollution ◽  
Heart Attack ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Community Action ◽  
Crime Rates ◽  
Road Traffic Accidents ◽  
Positive Effects ◽  
Positive Side ◽  
The World

COVID 19 is undeniably one of the deadliest diseases that humanity has ever seen. It continues to affect the lives and livelihood of people appallingly across the world. Maximum discussions focus towards the apprehension of catching the infection, dwelling in homes, overpopulated nursing homes and shut down of all kinds. But, here let’s discuss the positive side of COVID 19 pandemic.As COVID 19 has spread its influence all over the world, affected countries have either announced lockdown or have implemented severe restrictions in their respective countries. Because of this, everyone dwells in their homes. Thus, exercising social distancing and functioning from home. All of the above is directed at restricting the transmission of coronavirus and expectantly ostracising the fatality from COVID 19. These transformations have also brought about some unanticipated emanations; some good things have come out of the pandemic as well. Positive effects of COVID 19 are seen on reduced road traffic, and road traffic accidents lowered levels of air pollution which has to lead to lowered heart attack rates and rejuvenating environment. Crime rates have fallen, and expenses are reduced in most places. Community action, communication amongst families, behaviour, sanitation, hygiene, online and distance education has positively impacted by COVID 19 pandemic. COVID 19 despite a bane for humans, can be thought of a boon for living beings. The habitats and elements have been purified with the stringent use of petrochemical products. To breathe fresh air and to consume purified water is a boon by itself. Now, it is time for humans to lead a caring life to every bounty bestowed on them by Nature. This thoughtful and considerate life will give hope for a healthy, stress-free life.

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