Research of Driver’s Visual Perception Model

2012 ◽  
Vol 198-199 ◽  
pp. 932-935
Author(s):  
Qing Xue ◽  
Xiao Ming Ren ◽  
Chang Wei Zheng ◽  
Yong Hong Li
Keyword(s):  
Visual Perception ◽  
Bounded Rationality ◽  
Traffic Safety ◽  
Visual Information ◽  
Hot Spot ◽  
Driving Behavior ◽  
Driving Experience ◽  
Perception Model ◽  
Driving Fatigue ◽  
Fatigue Driving

Driving behavior research is the hot spot in the field of transportation nowadays owning to the stern traffic safety. The visual perception model based on bounded rationality has incorporated the attention distribution and concentration; driving fatigue; driving experience and visual information retrieve which provides a vivid simulation of real driver’s visual perception procedure and it lays the foundation for the study of driver’s decision and manipulation behavior.

Suggestive Sound Design - How to use Active Interior Sound Design to improve traffic safety

2021 ◽  
Vol 263 (5) ◽  
pp. 1561-1573
Author(s):  
Manuel Petersen ◽  
Marc Etri ◽  
Matthias Behrendt ◽  
Albert Albers ◽  
Manuel Spekker ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Driving Simulator ◽  
Driving Behavior ◽  
Sound Design ◽  
Driving Experience ◽  
Safety Distance ◽  
Electrical Vehicles ◽  
Important Addition ◽  
External Signals

Active sound design becomes an important addition to the newest generation of premium class electrical vehicles to enhance the emotionality of the driving experience. Musicological research indicates that emotions are altered by certain harmonic sets of pitches, whereas results in traffic psychology show that emotions can influence the driving behavior. Despite these findings, there is no research done on how changes to an active vehicle sound could influence the driving behavior. In this paper, we describe an approach for a suggestive sound design. It's based on the hypothesis, that the chosen safety distance by a driver could be altered by changing the inherent dissonance of an active interior vehicle sound based on the current safety distance. The suggestive sound design is based on an additive synthesizer utilizing the Shepard-Risset glissando. The sound can be controlled by external signals e.g. CAN signals from real or virtual vehicles. To verify this hypothesis, a driving simulator was built in which the driving experience with a suggestive sound and the resulting driving behavior can be validated through subject studies within an immersive and reproducible virtual reality environment. The research aims at improving road safety by influencing the driver through changes in the interior vehicle sound.

scholarly journals MODELING THE PROBABILITY OF SPEEDING BEHAVIOUR AND ACCIDENT INVOLVEMENT USING BINARY LOGISTIC REGRESSION IN EAST JAVA PROVINCE

2020 ◽  
Vol 2 (3) ◽  
pp. 149
Author(s):  
Willy Kriswardhana ◽  
Sonya Sulistyono ◽  
Iin Ervina ◽  
Dadang Supriyanto ◽  
Nunung Nuring Hayati ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Traffic Safety ◽  
High Speed ◽  
Probability Model ◽  
Binary Logistic Regression ◽  
Driving Behavior ◽  
Maximum Speed ◽  
Speed Limit ◽  
Negative Consequences ◽  
Driving Experience

Driving at high speed has negative consequences, namely, the high number of accidents. Several factors have been considered as causes of the increasing severity of victims of traffic accidents, such as a human, vehicle, and environmental factors. The risky driving behavior factor is a factor that needs to be considered in traffic safety studies. This study aims to determine the probability model of speeding behavior based on several driver characteristics and their relationship to accident involvement. This study used a binary logistic regression method to determine the probability of driving behavior exceeding the speed limit and accident involvement. The results showed that the younger a person is, the higher the probability of breaking the maximum speed limit. Furthermore, driving experience also shows a similar trend, where the longer the driving experience of someone, the less likely it is to be involved in an accident. Directions for further research are also presented. Berkendara dengan kecepatan tinggi mempunyai konsekuensi negatif, yaitu tingginya angka kecelakaan. Beberapa faktor telah dipertimbangkan sebagai penyebab dari peningkatan tingkat keparahan korban kecelakaan lalulintas. Faktor tersebut seperti faktor manusia, kendaraan, dan lingkungan. Faktor perilaku berkendara yang berbahaya, menjadi faktor yang perlu diperhatikan dalam kajian keselamatan lalulintas. Penelitian ini bertujuan untuk mengetahui model probabilitas pada perilaku speeding berdasarkan beberapa karakteristik pengendara, serta hubungannya dengan keterlibatan kecelakaan. Penelitian ini menggunakan metode regresi logistik biner untuk mengetahui probabilitas perilaku berkendara melebihi batas kecepatan dan keterlibatan kecelakaan. Hasil penelitian menunjukkan bahwa semakin muda usia seseorang, maka semakin tinggi probabilitasnya dalam melanggar batas kecepatan maksimum. Lebih lanjut diperlihatkan bahwa pengalaman mengemudi juga menunjukkan tren yang serupa. Pengalaman mengemudi seseroang, yang lebih lama akan memperkecil kemungkinan dalam keterlibatan kecelakaan. Arahan untuk penelitian selanjutnya juga ditampilkan.

Research on the Validation Method of Advanced Driving Simulators Based on the Speed Perception Model

2015 ◽  
Vol 713-715 ◽  
pp. 1890-1893
Author(s):  
Li Wei Zhu ◽  
Yue Sun ◽  
Zhi Yong Zhang
Keyword(s):  
Traffic Safety ◽  
Evaluation Model ◽  
Driving Behavior ◽  
The Self ◽  
Driving Simulators ◽  
Validation Method ◽  
Validity Assessment ◽  
Research Findings ◽  
Perception Model ◽  
Speed Perception

For the traffic safety or driving behavior research based on Advanced Driving Simulators (ADS), the validation of ADS which evaluates the effectiveness of ADS is the premise. In this paper, the validation method for ADS on the basis of the self-speed perception model is provided based on the related research findings and the speed sensitivity is determined as the main parameters of ADS validation evaluation model, which provides the effective support for the subjective validity assessment of ADS.

scholarly journals Concept of an Ontology for Automated Vehicle Behavior in the Context of Human-Centered Research on Automated Driving Styles

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Johannes Ossig ◽  
Stephanie Cramer ◽  
Klaus Bengler
Keyword(s):  
Driving Behavior ◽  
Automation System ◽  
Automated Driving ◽  
Driving Style ◽  
Driving Experience ◽  
Automated Vehicle ◽  
Future Design ◽  
Vehicle System ◽  
The Future ◽  
Conceptual Distinction

In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.

Driving ability in bipolar patients receiving lithium or lamotrigine

2011 ◽  
Vol 26 (S2) ◽  
pp. 194-194
Author(s):  
A. Brunnauer ◽  
F. Segmiller ◽  
I. Hermisson ◽  
F. Seemüller ◽  
M. Riedel ◽  
...  
Keyword(s):  
Visual Perception ◽  
Stress Tolerance ◽  
Traffic Safety ◽  
Test Performance ◽  
Rating Scale ◽  
Safety Data ◽  
Developed Countries ◽  
Driving Ability ◽  
Young Mania ◽  
Bipolar Patients

ObjectivesDriving is a daily activity for most people in developed countries and is important in maintaining independence. Bipolar patients may have an impaired driving behavior because of the pathology itself, with psychomotor and cognitive disturbances. Additionally, adverse effects of pharmacologic treatment may be detrimental.Methods24 remitted bipolar outpatients diagnosed according to ICD-10 criteria were enrolled in the study, receiving either lithium (n = 12) or lamotrigine (n = 12). Participants were investigated under steady state plasma level conditions. According to the German Guidelines for road and traffic safety data were collected with the Wiener Testsystem (WTS) measuring visual perception, reactivity, stress tolerance, concentration and vigilance.Psychopathologic symptoms were rated with the Montgomery-Asberg Depression Rating Scale (MADRS) and the Young Mania Rating Scale - Clinician rated (YMRS-C).ResultsAbout 40% of patients were without clinically relevant psychomotor disturbances. In 40% of cases mild to moderate impairments could be seen, and 20% of the patients were considered as severely impaired. Data show that patients under lamotrigine had an altogether better test performance than patients treated with lithium. Especially in visual perception and stress tolerance differences were most pronounced.ConclusionsAbout 20% of remitted bipolar outpatients treated with lithium or lamotrigine must be considered unfit to drive. In 40% of the cases it seems justified to counsel patients individually, taking into account compensational factors. Analysis of our data point to an advantage for bipolar patients treated with lamotrigine when compared with lithium. However causal relationships can not be drawn from our data.

scholarly journals With a Hint of Sudachi: Food Plating Can Facilitate the Fondness of Food

2021 ◽  
Vol 12 ◽  
Author(s):  
Nao Kokaji ◽  
Masashi Nakatani
Keyword(s):  
Multivariate Analysis ◽  
Visual Perception ◽  
Augmented Reality ◽  
Visual Information ◽  
Daily Life ◽  
Augmented Reality Technology ◽  
Estimate Quality ◽  
Sensory Impression ◽  
Eating Experience ◽  
Appetite Stimulants

Among the senses of food, our subjective sense of taste is significantly influenced by our visual perception. In appetite science, previous research has reported that when we estimate quality in daily life, we rely considerably on visual information. This study focused on the multimodal mental imagery evoked by the visual information of food served on a plate and examined the effect of the peripheral visual information of garnish on the sensory impression of the main dish. A sensory evaluation experiment was conducted to evaluate the impressions of food photographs, and multivariate analysis was used to structure sensory values. It was found that the appearance of the garnish placed on the plates close to the main dish contributes to visual appetite stimulants. It is evident that color, moisture, and taste (sourness and spiciness) play a major role in the acceptability of food. To stimulate one’s appetite, it is important to make the main dish appear warm. These results can be used to modulate the eating experience and stimulate appetite. Applying these results to meals can improve the dining experience by superimposing visual information with augmented reality technology or by presenting real appropriate garnishes.

scholarly journals Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongqing Guo ◽  
Xiaoyuan Wang ◽  
Qing Xu ◽  
Quan Yuan ◽  
Chenglin Bai ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Warning System ◽  
Actual State ◽  
Ecg Signal ◽  
Test Analysis ◽  
Driving Experience ◽  
Road Traffic Safety ◽  
Different Types ◽  
Unpleasant Feeling

Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.

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.

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