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.

scholarly journals Approbation of the model for evaluation of drivers prone to risky driving (Estonian and Russian samples)

2018 ◽  
Vol 9 (4) ◽  
pp. 119-133
Author(s):  
G. Meinhard ◽  
T. Kaart ◽  
T.V. Kochetova
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Drunk Driving ◽  
Diagnostic Model ◽  
Cronbach’S Alpha ◽  
Preventive Program ◽  
Cronbach's Alpha ◽  
Preventive Work ◽  
History Of ◽  
Phd Thesis

The article presents the results of approbation of the questionnaire, that allows evaluating drivers’ inclinations to taking various risks while driving. This questionnaire was developed at NPO Estonian Traffic Behaviour Development Centre, basing on PhD thesis “Evaluation of the effectiveness of a primary preventive program “Clear Picture…!?” to increase traffic safety” by G. Meinhard. Translation of the questions into Russian was performed for Russian-speaking Estonian citizens. The underlying diagnostic model of the questionnaire was implemented into a state program for preventive work with traffic offenders in Estonia in 2014. In the research AUDIT (as a part of the questionnaire) aimed at investigation of attitude towards alcohol consump tion was first used with the Russian sample. The sample included 635 drivers: 465 were Estonian citizens (15,5% females, 84,5% males) and 170 Russian citizens (38,8% females, 61,2% males). All the research participants had the history of multiple speed violations, as well as the other traffic rules violation. Some of the participants underwent medical checks for drunk driving. The results showed that the questionnaire scales, used in this diagnostic model, are highly consistent: Cronbach’s alpha ranges from 0,75 to 0,90 that proves reliability of this instrument. The exception is “Evaluation of driving threats and risks” that has Cronbach’s alpha in the range from 0,54 for the Russian sample. The article provides the first publications of the results of using this questionnaire with the Russian sample. These results can be applied to further investigations of inclination towards unsafe driving among Russian drivers as well as for implementing the underlying diagnostic model into the practice of screening and psychological counselling to prevent traffic accidents in Russia.

Tire Pressure Monitoring Inflatable Restraint System

2011 ◽  
Vol 328-330 ◽  
pp. 1705-1708
Author(s):  
Tan Li ◽  
Xi Chen ◽  
Qi Xin Yin ◽  
Yong Ping Hou
Keyword(s):  
Traffic Safety ◽  
High Speed ◽  
Traffic Accidents ◽  
Drunk Driving ◽  
Restraint System ◽  
Highway Traffic ◽  
Pressure Monitoring ◽  
Gas Generator ◽  
Tire Pressure ◽  
Safety Research

Tire blowout is a very serious security incident, particularly on the highway. As the existing anti-blowout device and measures also failed to meet the requirements to ensure traffic safety, research and development of prevention and treatment system is particularly important. In light of this, the Tire Pressure Monitoring Inflatable Restraint System is put forward. Sensor can send signals to the controller, and then the controller directs the gas generator to generate a lot of gas instantly, and through a special airway tire is inflated, so that the instability of the vehicle is eased. The concept of "vacuum tube tire" is first proposed, it can adapt to the inflation process better. Tire blowout, drunk driving and speeding is called together "three big killers on road" in China, so we can see that there are many incidents like these. Meanwhile, tire blowout is not like the other two which can be prevented by human’s means, it is sometimes not within our control. According to statistics, 70% of national highway traffic accidents are due to tire blowout, and a speed of more than 160km/h makes mortality possibility up to nearly 100%. In the check of the tires, more than 40% of them have security risks. [1] Statistics show that: The main reason why traffic accidents of high-speed driving keep increasing is leaked or inflated tires. In China, there is statistical data show that 46% traffic accidents on the highway were due to tire problem, in which tire blowout accounts for more than 70% of the total accidents, and the most crucial reasons of this is because the owners’ improper tire maintenance method. Beyond the boring concept, we can see a bunch of rather alarming figures, accounting for 49.81% highway accidents deaths, 63.94% injuries, 43.38% direct property loss were caused by high-speed tire blowout. High-speed tire blowout is considered to be the super-killer of traffic safety. And all the tire blowout incidents warn people to pay attention to tire safety.

Study of Steering Wheel Movement under Fatigue Driving and Drunk Driving Based on Sample Entropy

2015 ◽  
Vol 744-746 ◽  
pp. 2001-2005 ◽  
Author(s):  
Zhen Long Li ◽  
Xue Jin ◽  
Bao Ju Wang ◽  
Xiao Hua Zhao
Keyword(s):  
Normal State ◽  
Driving Simulator ◽  
Drunk Driving ◽  
Sample Entropy ◽  
Steering Wheel ◽  
Movement Data ◽  
Fatigue Driving

In order to distinguish the fatigue, drunk and normal driving effectively, sample entropy is introduced in this paper. An experiment was designed based on a driving simulator. 13 drivers were recruited to participate in the experiment. The steering wheel movement data in fatigue, drunk and normal state were collected. Sample entropy was used to analyze the characteristic of steering wheel movement under different radius curves in three driving states. The results show that the sample entropy in normal state is higher than that in fatigue state, while it is lower than that in drunk state. This indicates that sample entropy is feasible for distinguishing fatigue, drunk and normal driving.

scholarly journals Fatigue driving detection based on electrooculography: a review

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yuanyuan Tian ◽  
Jingyu Cao
Keyword(s):  
Monitoring System ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Feature Fusion ◽  
State Of The Art ◽  
Low Cost ◽  
Advantages And Disadvantages ◽  
Art Research ◽  
Fatigue Driving ◽  
Better Than

AbstractTo accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees of improving traffic safety and reducing traffic accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents a systematic literature review of these technologies and summarizes a basic framework of fatigue driving monitoring system based on EOGs. Then we summarize the advantages and disadvantages of existing technologies. In addition, 80 primary references published during the last decade were identified. The multi-feature fusion technique based on EOGs performs better than other traditional methods due to its low cost, low power consumption and low intrusion, while its application is still limited which needs more efforts to obtain good and generalizable results. And then, an overview of the literature on technology is given, revealing a premier and unbiased survey of the existing empirical research of classification techniques that have been applied to fatigue driving analysis. Finally, this paper adds value to the current literature by investigating the application of EOG signals in fatigued driving and the design of related systems, future guidelines have been provided to practitioners and researchers to grasp the major contributions and challenges in the state-of-the-art research.

THE EFFECTS OF MOBILE PHONE USE ON TRAFFIC SAFETY

2018 ◽  
Vol 28 (4) ◽  
pp. 1415-1420
Author(s):  
Vojislav Krstić ◽  
Stefan Mladenović
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
New Technologies ◽  
Negative Impact ◽  
Steering Wheel ◽  
Negative Effects ◽  
Mobile Phone Use ◽  
Increased Risk

With the expansion of offered content and applications in mobile phones, the risk of using mobile phones while driving increases. This problem is getting more and more important worldwide. Nowadays, increasing attention is being paid to traffic safety indicators as it has been proven that there is a strong correlation between the consequences of traffic accidents and traffic safety indicators. One of these indicators is the mobile phone use while driving. Operating vehicles require drivers' full attention. Therefore, the use of a mobile phone while driving is a major problem. Using a mobile phone draws driver's attention and causes behavioral changes that negatively affect the traffic safety. The use of mobile phones while driving is an ongoing problem of traffic safety and is associated with an increased risk of participation in traffic accidents. In addition to the harmful effects from the medical aspect, one of the more important negative effects of the mobile phone is the negative impact on traffic participants. The negative impact of the phone on traffic safety is reflected in the fact that their use while driving hinders the driver's attention. Even with automated actions, the degree of event detection is severely reduced. The degree of impact of mobile phone use on driving performance depends on the moment and situation at that moment. The commitment to the conversation is yet another factor that affects the driving quality. The combination of these two factors can have extremely damaging effects on driving. The phones can distract the driver's attention in three ways: while the driver is looking for the phone, takes the phone to receive or make a call, or writes or reads the message. In these situations, he cannot properly hold the steering wheel or gearbox – hence is not fully aware of the road nor traffic around, and cannot fully control the vehicle. If speaking, the driver is not fully focused on driving because tracking conversations diminishes the attention and perception of traffic around. This problem has been recognized long time ago worldwide, and many studies have been conducted on a given subject which have been influencing drivers to reduce the need for mobile phones. There are many approaches and various measures that can be taken: preventing and educating participants in traffic about the negative effects of the mobile phone use while driving, campaigning, repressive and coercion measures, applying new technologies . . . Accepting the right behavior is the key to solving the problem, since it is impossible to sanction everyone at any given time. Drivers need to understand that mobile phone usage threatens their safety, as well as of other participants in the traffic.

Thoughts on Road Traffic Control

2020 ◽  
Vol 12 (2) ◽  
pp. 54-55
Author(s):  
Róbert Major ◽  
Gábor Mészáros
Keyword(s):  
Traffic Safety ◽  
Traffic Control ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Drunk Driving ◽  
The European Union ◽  
Safety Issues ◽  
Road Traffic Safety ◽  
Current State ◽  
Prevention Programmes

The safety of travel on public roads is one of the most important issues to be developed in Hungary and in the European Union. The authors conducted a survey on the current state of the topic in Hungary. They examine the actions undertaken in traffic safety and traffic control in the past years in the country. Vehicle drivers consider regulations on speed limits and overspeeding to be less respectable and acceptable. The absolute transgression of the speed limit, also known as overspeeding, significantly increases the risk of accidents, and also adds to the severity of accidents, considering the majority of the traumas and the occurrence of fatalities in these accidents. Overspeeding is the greatest problem point in road traffic safety issues such as speeding, drunk driving and the use of passive road traffic safety gear. Considering the fatal road accidents in Hungary, it has become evident that the number of absolute overspeeding cases is significantly increasing. Overspeeding plays a significant role in the severity of the accident, especially in cases of unprotected travellers, pedestrians and cyclists. Traffic control is part of influencing the awareness and education of safe travelling. Police traffic control and accident prevention programmes aim to decrease the number of victims of road traffic accidents.

scholarly journals Drunk Drivers’ Willingness to Use and to Pay for Designated Drivers

2021 ◽  
Vol 13 (10) ◽  
pp. 5362
Author(s):  
Rong-Chang Jou ◽  
Li-Wun Syu
Keyword(s):  
Traffic Safety ◽  
Family Background ◽  
Drunk Driving ◽  
Motor Vehicles ◽  
Drinking Habits ◽  
Car Accidents ◽  
Drunk Drivers ◽  
Double Hurdle ◽  
The Government ◽  
Willingness To Use

While drunk driving accidents, which are a serious problem in Taiwan, have decreased in recent years, cases of drunk driving continue to emerge endlessly, and are a source of traffic risks even when the accidents cause no injuries. In order to prevent drunk driving and reduce car accidents, the government has made laws stricter, and has vigorously promoted “designated drivers”. As the concept of designated drivers is not common in Taiwan, this study mainly explores drunk drivers’ understanding of designated drivers in Nantou County and Taichung City, and investigates the willingness of drunk drivers to use and to pay for designated driving services. This study conducted a questionnaire survey on the drunk drivers of the drunk driving and traffic safety training course held at the Motor Vehicles Office. Double-hurdle and tobit models were applied to investigate the issues mentioned above. According to the test results, the tobit model was superior to the double-hurdle model. The estimation results indicated that distance, age, income, family conditions, and drinking habits influence the willingness to use and to pay for designated drivers. Gender, age, family background, and experience in designated driving cause differences in the willingness to use designated drivers in the two regions. It is expected that the conclusion of this study could provide a direction and reference for the future improvement of designated driving services.

scholarly journals Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li
Keyword(s):  
New York ◽  
Los Angeles ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Mobility ◽  
Critical Conditions ◽  
Road Traffic Safety ◽  
Accident Data ◽  
The Impact

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.

scholarly journals Detection Model on Fatigue Driving Behaviors Based on the Operating Parameters of Freight Vehicles

2021 ◽  
Vol 11 (15) ◽  
pp. 7132
Author(s):  
Jianfeng Xi ◽  
Shiqing Wang ◽  
Tongqiang Ding ◽  
Jian Tian ◽  
Hui Shao ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Nearest Neighbor Algorithm ◽  
Operating Data ◽  
Detection Model ◽  
Driving Behaviors ◽  
K Nearest Neighbor Algorithm ◽  
Fatigue Driving ◽  
Freight Vehicles

Whether in developing or developed countries, traffic accidents caused by freight vehicles are responsible for more than 10% of deaths of all traffic accidents. Fatigue driving is one of the main causes of freight vehicle accidents. Existing fatigue driving studies mostly use vehicle operating data from experiments or simulation data, exposing certain drawbacks in the validity and reliability of the models used. This study collected a large quantity of real driving data to extract sample data under different fatigue degrees. The parameters of vehicle operating data were selected based on significant driver fatigue degrees. The k-nearest neighbor algorithm was used to establish the detection model of fatigue driving behaviors, taking into account influence of the number of training samples and other parameters in the accuracy of fatigue driving behavior detection. With the collected operating data of 50 freight vehicles in the past month, the fatigue driving behavior detection models based on the k-nearest neighbor algorithm and the commonly used BP neural network proposed in this paper were tested, respectively. The analysis results showed that the accuracy of both models are 75.9%, but the fatigue driving detection model based on the k-nearest neighbor algorithm is more reliable.

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