Prediction Method of Motor Vehicle Traffic Accident Based on Support Vector Machine

2014 ◽  
Vol 631-632 ◽  
pp. 284-287
Author(s):  
Bo Yang ◽  
Li Na Zhang
Keyword(s):  
Social Influence ◽  
Index System ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Motor Vehicle ◽  
Rapid Development ◽  
Prediction Method ◽  
Living Standard ◽  
Support Vector ◽  
Vehicle Traffic

With the rapid development of economy and the improvement of people's living standard, there are more and more vehicles in China, with the increase of traffic accidents. In this paper, by analyzing the factors of social influence on motor vehicle traffic accident, we establish the index system, that is corresponding relationship of motor vehicle traffic accident and factors of social influence, According to this index system, design of motor vehicle traffic accident prediction method based on SVM. Based on the statistical data of social factors and motor vehicle traffic accident in 1985-2012 in china, to train the SVM model, at the same time, the kernel function and parameters of SVM used were setting and compared. The experimental results show that, the accuracy of the use of the RBF function is 97.2%, predicted by using time 95ms, with higher accuracy and faster computing speed.

Research on Preventive Management of Freeway Traffic Accident

2013 ◽  
Vol 779-780 ◽  
pp. 763-768
Author(s):  
Bing Li ◽  
Jia Xin Liu
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Rapid Development ◽  
Research Work ◽  
Accident Prevention ◽  
Future Research ◽  
Freeway Traffic ◽  
Traffic Police ◽  
Preventive Work ◽  
Countermeasures And Suggestions

With the rapid development of the freeway, preventive work of freeway traffic faces larger and larger test. This paper adopts 1561 cases of traffic accidents in the Jiliao-freeway in past 5 years to find out the factors that affect safety. The study found out some factors which cause freeway traffic accidents, they are time, weather, the number of patrol vehicles and monitoring, age and attribution of the accident driver. The paper studies the management problems and puts forward on the countermeasures and suggestions, especially the problem of freeway traffic police burnout. This problem which involves in freeway traffic accident prevention will reach a new level and lay the foundation for the future research work.

Highway Traffic Accident Prediction Based on SVR Trained by Genetic Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 5886-5889 ◽  
Author(s):  
Zhen Qi Yang
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Regression Function ◽  
Support Vector ◽  
Highway Traffic ◽  
Prediction Ability ◽  
Accident Prediction ◽  
Better Than

The multi researches and experiments show that the future highway traffic accident situation is shown by the highway traffic accident prediction. In the paper, support vector regression trained by genetic algorithm is presented in highway traffic accident prediction. In the method, genetic algorithm is used to train the parameters of support vector regression. Firstly, the regression function of support vector regression algorithm is introduced, and the parameters of support vector regression are optimized by genetic algorithm. The computation results between G-SVR and SVR can indicate that the prediction ability for highway traffic accidents of G-SVR is better than that of SVR absolutely.

Research on Automatic Positioning System in Traffic Accident

2011 ◽  
Vol 422 ◽  
pp. 79-82
Author(s):  
Zhi Guang Guan ◽  
Jie Liang ◽  
Qiu Hua Miao
Keyword(s):  
Automobile Industry ◽  
Global Economy ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Human Life ◽  
Rapid Development ◽  
Sensor Technology ◽  
Positioning System ◽  
Negative Effects ◽  
Automatic Positioning

With the rapid development of the global economy, automobile industry and high-grade highway create the necessary tools and infrastructure for the fast and convenient traffic. However, the cars also bring some negative effects of human life, such as traffic accidents. China has become the world's most serious national in the traffic accidents. In order to make the traffic accident rescue convenient, the automatic positioning system is studied, and the software and hardware are also designed. The control system uses the PIC18F458 as a controller, which combines with the modern sensor technology and GPS, and realizes the automatic positioning in traffic accidents. Experiments show that the system has the advantages of stability, reliability and strong anti-interference ability.

Risk factors of fatality in motor vehicle traffic accidents

1994 ◽  
Vol 26 (3) ◽  
pp. 391-397 ◽  
Author(s):  
Akira Shibata ◽  
Katsuhiro Fukuda
Keyword(s):  
Risk Factors ◽  
Traffic Accidents ◽  
Motor Vehicle ◽  
Vehicle Traffic

Hospital-based emergency department visits in children with motor vehicle traffic accidents: estimates from the nationwide emergency department sample

2014 ◽  
Vol 11 (3) ◽  
pp. 261-266 ◽  
Author(s):  
Veerajalandhar Allareddy ◽  
Ingrid M. Anderson ◽  
Min Kyeong Lee ◽  
Veerasathpurush Allareddy ◽  
Sankeerth Rampa ◽  
...  
Keyword(s):  
Emergency Department ◽  
Traffic Accidents ◽  
Motor Vehicle ◽  
Emergency Department Visits ◽  
Vehicle Traffic

Patterns of injuries and motor-vehicle traffic accidents in Athens

2006 ◽  
Vol 13 (3) ◽  
pp. 190-193 ◽  
Author(s):  
E. Pikoulis ◽  
V. Filias ◽  
N. Pikoulis ◽  
P. Daskalakis ◽  
E. D. Avgerinos ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Motor Vehicle ◽  
Vehicle Traffic

Analysis of the Damage of Cyclists in Electric Bicycle - Sedan Angle Collision

2020 ◽  
Vol 11 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Min Yuan ◽  
Linpeng Hou ◽  
Hui Jing
Keyword(s):  
Human Body ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Motor Vehicle ◽  
Simulation Analysis ◽  
Euro Ncap ◽  
Electric Bicycle ◽  
The Moment ◽  
Bicycle Injury ◽  
Collision Angle

In order to study the vulnerable factors of the traffic accidents—the cyclist's injury factor at the moment of the accident—the computer simulation analysis method is used to restore the information collected by a real accident combined with the scene. From the established multi-rigid kinematics model, the corresponding injury situation of a body structure of a traffic accident rider is obtained, which involves the collision speed, the collision angle, the acceleration of each part of the human body and the force. The data is compared with ECE R44, FMVSS 213 and Euro NCAP 2009 regulations to analyze and restore various factors of bicycle injury in the collision. The results show that when the car and the non-motor vehicle have a low-angle collision, the cyclist's injury is mainly caused by the collision with the ground after the parabola movement, and the damage position of the human body depends on the order of contact with the ground.

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