Research on the Coupling Relationship of Cognitive Scheme between Ba Culture and ESP Driving Safety System

2013 ◽  
Vol 380-384 ◽  
pp. 586-590
Author(s):  
Si You Zhang ◽  
Chang Ying Wang
Keyword(s):  
Automobile Industry ◽  
Psychological Factors ◽  
Traffic Accidents ◽  
Safety System ◽  
Driving Safety ◽  
Ancient China ◽  
Driving System ◽  
Coupling Relationship ◽  
Control Principle ◽  
Relationship Of

In Chinese, there are two meanings of the character Ba. One meaning is a reference, which refers to the leaders of Governors alliance in ancient China. Another meaning is the verbalization of a noun, which means Ba by power and violence. With the development of automobile industry, the more cars on the street, the lower of the cars price. Under the influence of divers psychological factors, road hogs appear frequently when overtaking and traffic jams happen. These uncivilized phenomena would give rise to serious jams and traffic accidents. This paper has a research on the phenomena and features of drivers psychological factors of road hog under the above Background. Consequently, ESP Driving Safety System is designed. Employing fuzzy control principle, this system realizes the interaction between drivers and ESP. ESP restrains psychological factors of road hogs successfully and it is the giant of safety driving system.

scholarly journals Persepsi antara Risiko Keselamatan Berkendaraan dengan Perilaku Pemakaian Safety Belt pada Driver Truk

2018 ◽  
Vol 4 (2) ◽  
pp. 53
Author(s):  
Muhamad Bob Anthony
Keyword(s):  
Traffic Accidents ◽  
Truck Drivers ◽  
Driving Safety ◽  
Mining Company ◽  
Perception Of Safety ◽  
Safety Belt ◽  
Independent Variable ◽  
Safety Belts ◽  
Relationship Of ◽  
The Relationship

Deaths and injuries from traffic accidents have become health problems for people throughout the world including Indonesia. The saddest data from the victims who died due to traffic accidents found that 10,428 people were killed in 2017 because the drivers did not use seat belts. This research aims to see the relationship between the perception of safety risk i.e. the ability, knowledge and environmental factors with the behavior of the use of safety belts in truck drivers in mining companies. This research is a comparative causal research i.e. research that states the relationship of one variable causes other variables. What is affected is the dependent variable, namely the use of safety belt behavior and the influencing variable is the independent variable, namely the perception of the risk of driving safety. Participants are 25 mining company truck drivers. The data obtained is then processed and analyzed using the SPSS version 16. Based on the results of data processing and analysis, it is found that the ability, knowledge and work environment factors have an influence on the safety belt usage behavior.

Modeling and suppression of unbalanced radial force for in-wheel motor driving system

2021 ◽  
pp. 107754632110260
Author(s):  
Zhaoxue Deng ◽  
Xu Li ◽  
Tianqin Liu ◽  
Shuen Zhao
Keyword(s):  
Electromagnetic Force ◽  
Switched Reluctance Motor ◽  
Radial Force ◽  
Force Amplitude ◽  
Switched Reluctance ◽  
Driving System ◽  
Coupling Relationship ◽  
Force Fluctuation ◽  
Reluctance Motor ◽  
Road Excitation

Considering the negative vertical dynamics effect of switched reluctance motor on an in-wheel motor driving system, this article presents a modeling and suppression method for unbalanced radial force of the in-wheel motor driving system. To tease out the coupling relationship within the in-wheel motor driving system, this investigation, respectively, explores the principle of unbalanced radial force and the coupling relationship between rotor eccentricity and road excitation based on the suspension response model with unbalanced radial force under road excitation. The switched reluctance motor nonlinear analytical model was fitted by the Fourier series, and its radial electromagnetic force was modeled and analyzed by the Maxwell stress tensor method. To mitigate the influence of radial electromagnetic force fluctuation and unbalanced radial force amplitude value under eccentricity condition on the in-wheel motor driving system, the elitist non-dominated sorting genetic algorithm was adopted to improve radial electromagnetic force fluctuation and unbalanced radial force amplitude value of the switched reluctance motor. The simulation results show that the proposed optimization method can suppress the radial electromagnetic force fluctuation and unbalanced radial force amplitude value, and the negative effect of vertical dynamics of the in-wheel motor driving system is conspicuously mitigated.

Exploring the Relationship of Economic, Sociological, and Psychological Factors to the Savings Behavior of Low- to Moderate-Income Households

2012 ◽  
Vol 41 (1) ◽  
pp. 86-101 ◽  
Author(s):  
Michael S. Gutter ◽  
Celia R. Hayhoe ◽  
Sharon A. DeVaney ◽  
Jinhee Kim ◽  
Cathy F. Bowen ◽  
...  
Keyword(s):  
Psychological Factors ◽  
Savings Behavior ◽  
Relationship Of ◽  
The Relationship

Research on Intelligent Steering Wheel Technology Based on Multi Sensor

2014 ◽  
Vol 488-489 ◽  
pp. 1130-1133
Author(s):  
Yuan Bai ◽  
Xiao Dong Tan
Keyword(s):  
Traffic Safety ◽  
Automobile Industry ◽  
Traffic Accidents ◽  
Drunk Driving ◽  
Steering Wheel ◽  
Private Car ◽  
Driving Condition ◽  
Fatigue Driving

At present, the automobile industry is developing rapidly, the private car is widely popularized, and the hidden dangers of traffic safety exist. The phenomenon of drunk driving and fatigue driving becomes more and more serious, and the improvement for steering wheel could effectively prevent traffic accidents. This paper introduces and analyzes the intelligence of steering wheel in three major aspects, they respectively include intelligent grip detection, which tests if a driver is of fatigue driving; hart rate detection, which tests if a driver is in normal driving condition; alcohol detection, which tests if a driver drinks too much, and it predicts the possibility of accident from the drivers state, and timely gives out signal to warn the driver.

The Biosocial Basis OF Mental Retardation, by Sonia F. Osler and Robert E. Cooke. Baltimore: The Johns Hopkins Press, 1965, 151 pp., $5.50

PEDIATRICS ◽  
1966 ◽  
Vol 37 (6) ◽  
pp. 986-986
Author(s):  
Robert B. Kucel
Keyword(s):  
Mental Retardation ◽  
Low Income ◽  
Social Factors ◽  
Psychological Factors ◽  
Low Socioeconomic ◽  
Important Concern ◽  
The Social ◽  
High Incidence ◽  
Low Income Families ◽  
Relationship Of

With the increasing interest in mental retardation more articles, monographs, and books appear on the subject. The Biosocial Basis of Mental Retardation is a collection of seven essays originally delivered at the John Hopkins Hospital. Although pediatricians have turned their attention in mental retardation mostly to the biological components of mental retardation, there is a growing awareness that social and psychological factors also play a significant role. The interrelationship of biological and social factors is virtually an unchartered sea. The several authors who originally presented these essays are attempting to highlight some of the social factors and, where appropriate, to point out how some of the social features relate to biological ones. For example, the well known relationship of the high incidence of prematurity in low socioeconomic group families is a fact most pediatricians know but the implication of this fact as far as prevention is concerned is a large and important concern and as yet poorly understood. With the increasing amount of federal interest in programs for low income families, many pediatricians will want to become better informed about the implications. Some of these points are considered in the chapter by Janet Hardy. For the person concerned with medical remedies for mental retardation, there will be little of interest in this book. On the other hand, for those who are anxious to know more about social and psychological factors as they relate to mental retardation, this is a very useful and fascinating compendium of articles. Particularly intriguing are the articles by Eli Ginzberg who discusses the mentally handicapped in an increasingly technological society.

scholarly journals For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1829
Author(s):  
Minhee Kang ◽  
Jaein Song ◽  
Keeyeon Hwang
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Deep Neural Networks ◽  
Time Of Day ◽  
Automated Driving ◽  
Context Analysis ◽  
Driving System ◽  
Vehicle Type ◽  
Fast Development ◽  
Day Of The Week

Automated Vehicles (AVs) are under development to reduce traffic accidents to a great extent. Therefore, safety will play a pivotal role to determine their social acceptability. Despite the fast development of AVs technologies, related accidents can occur even in an ideal environment. Therefore, measures to prevent traffic accidents in advance are essential. This study implemented a traffic accident context analysis based on the Deep Neural Network (DNNs) technique to design a Preventive Automated Driving System (PADS). The DNN-based analysis reveals that when a traffic accident occurs, the offender’s injury can be predicted with 85% accuracy and the victim’s case with 67%. In addition, to find out factors that decide the degree of injury to the offender and victim, a random forest analysis was implemented. The vehicle type and speed were identified as the most important factors to decide the degree of injury of the offender, while the importance for the victim is ordered by speed, time of day, vehicle type, and day of the week. The PADS proposed in this study is expected not only to contribute to improve the safety of AVs, but to prevent accidents in advance.

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