Method of Adaptive Neuron Model Utilizing Information of Local Samples for Loss Prediction in the Road Traffic Accident

2007 ◽  
Author(s):  
Jun Zhai ◽  
Xiaojia Yang ◽  
Lixin Shen ◽  
Yan Chen
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Neuron Model ◽  
Road Traffic ◽  
The Road ◽  
Loss Prediction ◽  
Adaptive Neuron

Regression Analysis of Rural Road Traffic Accidents Causes

2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu
Keyword(s):  
Regression Analysis ◽  
Traffic Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Lower Grade ◽  
The Road ◽  
Rural Road ◽  
Safety Awareness

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.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

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.

Research on Kinetics of the Vehicle Skidding while Turning

2014 ◽  
Vol 685 ◽  
pp. 250-253
Author(s):  
Ming Ni
Keyword(s):  
Social Issue ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Road Accidents ◽  
The Road ◽  
Kinetics Of

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.

scholarly journals PERSPECTIVES TO USE 3D-MODELING FOR THE RECONSTRUCTION OF THE CONDITIONS AND CIRCUMSTANCES OF THE ROAD TRAFFIC ACCIDENT

2018 ◽  
Vol 0 (1) ◽  
pp. 84-87
Author(s):  
Serhii Volodymyrovych Kozlov ◽  
Valerii Viktorovych Viun ◽  
Hennadii Borysovych Aleksin
Keyword(s):  
3D Modeling ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
The Road

scholarly journals Investigation of Factors That Have Affected the Outcomes of Road Traffic Accidents on Lithuanian Roads

2020 ◽  
Vol 15 (5) ◽  
pp. 1-20
Author(s):  
Teresė Leonavičienė ◽  
Saugirdas Pukalskas ◽  
Vidmantas Pumputis ◽  
Erika Kulešienė ◽  
Vidas Žuraulis
Keyword(s):  
Logistic Regression ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Categorical Variables ◽  
Personal Traits ◽  
Fatal Accident ◽  
The Road ◽  
Base Category

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.

scholarly journals A Time Series Model for Assessing the Trend and Forecasting the Road Traffic Accident Mortality

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Shahrokh Yousefzadeh-Chabok ◽  
Fatemeh Ranjbar-Taklimie ◽  
Reza Malekpouri ◽  
Alireza Razzaghi
Keyword(s):  
Time Series ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Time Series Model ◽  
The Road

scholarly journals Mathematical model of road traffic accident development using the system analysis theory

2021 ◽  
pp. 136-143
Author(s):  
Alexander Gusev ◽  
◽  
Innesa Rutkovskaya ◽  
Alla Gerasimenko ◽  
◽  
...  
Keyword(s):  
System Theory ◽  
Mathematical Model ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
System Analysis ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
The Road ◽  
Analysis Theory

The article describes the principles and algorithms for creating a mathematical model of the road traffic accidents on the highway section using system analysis theory and queuing system theory.

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