Research on Kinetics of the Vehicle Skidding while Turning

2014 ◽  
Vol 685 ◽  
pp. 250-253
Author(s):  
Ming Ni

The road traffic accident is a social issue involving thousands of families and everyone is concerned about it. When people are at work, travel, or visit relatives and friends, they hope to keep secure. However, road accidents sometimes might occur. The experienced motorists know that they mustn’t drive fast when they turn in the corners; especially in the rainy slippery situations, road accidents might occur. In this paper, the car skidding dynamics will be studied.

2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu

9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.


Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.


2019 ◽  
Vol 14 (2) ◽  
pp. 67-83 ◽  
Author(s):  
S. S. Zharkikh ◽  
A. A. Godlevskii ◽  
S. A. Krivoshchekov

In some cases, the material provided for a forensic vehicle examination may be insufficient to answer the questions placed before the experts. However, sometimes there are some multimedia files presented which by means of forensic video examination can help to discover the information missing for implementation of the vehicle expertise. This article reviews the potential of forensic video and vehicle investigations when conducting an integrated research including the investigation of circumstances of a road traffic accident. The examples from the state experts’ practice of the forensic institutions of the Russian Ministry of Justice are provided. This review is intended to introduce the video experts and the vehicle experts to the opportunities there are in the integrated research of the mechanism of road accidents.


2018 ◽  
Vol 0 (1) ◽  
pp. 84-87
Author(s):  
Serhii Volodymyrovych Kozlov ◽  
Valerii Viktorovych Viun ◽  
Hennadii Borysovych Aleksin

2020 ◽  
Vol 15 (5) ◽  
pp. 1-20
Author(s):  
Teresė Leonavičienė ◽  
Saugirdas Pukalskas ◽  
Vidmantas Pumputis ◽  
Erika Kulešienė ◽  
Vidas Žuraulis

The purpose of this paper is to analyse the possibility for predicting the outcome of a road traffic accident concerning the traffic environment, personal traits of the traffic participant and the vehicle, i.e. aiming to answer the question whether specific values of the factors analysed to increase the likelihood of a fatal accident. The logistic regression model that allows identifying the relationship between the dependent and independent variables were used in the research. Other methods for describing and analysing categorical variables were also used alongside the logistic regression. When analysing the results, it was recognised that the odds ratio above 1 shows a higher likelihood for a representative of the category in question to be involved in a fatal accident compared to a representative of the base category. Odds ratios of likelihoods for calculation of the road traffic accident types show that the likelihood of a fatal accident is statistically significant affected by rollovers or driving into obstacles, compared to vehicular collisions. When summarising the results, it was stated that most of the factors researched have an impact on the outcome of a road traffic accident. The influence of some factors has a higher probability of resulting in a fatal accident as compared to other factors.


2019 ◽  
Vol 1 (6) ◽  
pp. 266-273
Author(s):  
Poovizhi G ◽  
Dhinu priya S ◽  
Ambika D ◽  
Manoj S ◽  
Gowrishankar V

Indian roads have a sizeable amount of accidents happening in them. The transportation problems faced by various nations across the world have increased manifold, necessitating search for methods or alternatives that ensure efficient, safe, feasible and faster means of transport. Government of India is taking many efforts to minimize the road accidents. Amongst all traffic accident, road traffic accident bears largest number of human life and tends to be most serious problem world over. Road accidents are largely predictable and preventable, provided rational analysis and counter measures. The number of accidents in India is increasing rapidly every year due to addition of more number of vehicles on the streets.  This project is to look for few accidental prone spots in our locality and analyze the causes of accidents and try to provide viable solutions for improving the safety in the accidental zones. In this study, the accident zones were taken and a particular spot was selected and suitable measures to control the accidents were suggested.


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