• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.99-102
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• 2023

In this paper, the system is proposed and implemented to share the part number, the part name, and the vehicle type through the improvement sharing bulletin board for automobile repair and maintenance. And when photos of damage parts are uploaded to the system, the system analyzes it using a deep learning model to analyze whether it is damaged and automatically classify the type of damage. By providing repair and maintenance quotes for a significant part, the system provides economically repaired by providing comparative adjustment information on repair costs to drivers who are particularly concerned about the market prices of parts and maintenance services. Through the existing bulletin board, you can exchange and share information about parts by sharing various information on repair and maintenance. This paper provides in detail the average market price per type of damage during automobile repair and maintenance, helping drivers who do not know the details of parts and maintenance services to receive reasonable quotes by providing price information.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.142-150
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• 2024

A conceptual model represents an understanding of a system that is going to be developed, which in this research, a driving simulation software to study driver behavior at signalised intersections. Therefore, video observation was conducted to study driver compliance behaviour within the dilemma zone at signalised intersection, with regards to driver's distance from the stop line during yellow light interval. The video was analysed using Thematic Analysis and the data extracted from it was analysed using Chi-Square Independent Test. The Thematic Analysis revealed two major themes which were traffic situation and driver compliance behaviour. Traffic situation is defined as traffic surrounding the driver, such as no car in front and behind, car in front, and car behind. Meanwhile, the Chi-Square Test result indicates that within the dilemma zone, there was a significant relationship between driver compliance behaviour and driver's distance from the stop line during yellow light interval. The closer the drivers were to the stop line, the more likely they were going to comply. In contrast, drivers showed higher non-compliant behavior when further away from stop line. This finding could help in the development of conceptual model of driving simulation with purpose in studying driver behavior.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.143-148
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• 2024

Traffic congestion has caused issues in various forms such as the environment and economy. Recently, an intelligent transport system (ITS) using artificial intelligence (AI) has been focused so as to alleviate the traffic congestion problem. In this paper, we propose a reinforcement learning-based traffic signal control algorithm that can smooth the flow of traffic while reducing discomfort levels of drivers and pedestrians. By applying the proposed algorithm, it was confirmed that the discomfort levels of drivers and pedestrians can be significantly reduced compared to the existing fixed signal control system, and that the performance gap increases as the number of roads at the intersection increases.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.195-200
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• 2024

With the increase in urbanization and automobile demand, urban parking problems have emerged as a serious social issue. In response, research has been conducted to identify parking situations and provide efficient parking information to drivers by utilizing parking lot entry and exit data. This paper preprocesses entry and exit data based on public data to extract parking times and provides expected exit times using the mode value, allowing drivers to anticipate when a vehicle will leave the parking space at their desired parking time. Future research aims to improve the current system by using a real-time parking management system and enhance the accuracy and efficiency of parking space identification.

• Safety and Health at Work
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• v.15 no.3
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• pp.263-270
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• 2024

Background: Long-haul truck drivers (LHTD) experience disproportionately greater chronic disease risk, which may be influenced by both occupational and lifestyle factors. This study aimed to explore the multilevel factors associated with LHTD's diet and physical activity (PA). Methods: Thirty in-depth interviews were conducted with LHTD in the Southern California border region. Interview questions captured occupational and lifestyle factors relating to PA and diet at multiple levels and were analyzed using thematic analysis. Results: Emergent themes relating to both diet and PA included time constraints, attitudes and perceived beliefs, and accessibility of environments to engage in PA and healthy eating. Themes specific to PA were weather conditions and flatbed job duties. Themes specific to diet included access to refrigerators/microwaves and social interactions. Conclusion: Findings from this study can inform the development of tailored, multi-level interventions to encourage PA and healthy dietary behaviors among LHTD.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.4D
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• pp.313-322
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• 2012

This study analyzes taxi driver's risk-taking propensity with respect to risk-taking behaviour and traffic locus of control. In order to explore the traffic risk-taking, we present a predictive model by structural analysis of driver's risk-taking propensity. By applying this model to survey data from taxi drivers, we can observe that driver's risk-taking propensity has a significant impact on the traffic violation intention, and the higher perception of law and the lower lack of law-abiding drivers have, the more they tend to violate. Second, we test using multivariate analysis if the level of risk-taking propensity differs by the locus of control( external or internal). Drivers of external control shows higher risk-taking level compared to those of internal control so that the risk-taking propensity shows difference according to the locus of control for the responsibility of traffic accidents. The structural equation model of our study yielded ${\chi}^2$ = 279.7, ${\chi}^2$/df = 1.55, RMSEA = 0.44, GFI = 0.911, TLI = 0.916, CFI = 0.929.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.91-100
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• 2010

Existing traffic safety studies have focused on identifying the relationship among roadway crashes, highway design and incremental weather condition such as rainy/ice weather. However, it is hard to find researches that studied the effect of sun glare on traffic safety although there are abundant evidences demonstrating that fatal traffic crashes are attributed to the sun glare. Affecting drivers'vision particularly during the morning or the evening time when the sun positions close to the horizon, sun glare directly deteriorate drivers'judgmental capability. In this paper, we numerically analyze the effect of sun glare on the drivers'vision in time and space domains. Applied to the roadways around St Louis area in the United States, the GIS based simulation analysis identifies the time of day in a year and the segments of highways that are potentially influenced by the sun glare. This study evidentially confirms the fact that roadway bounded for West and East directions have longer time influenced by sun glare particularly during Spring and Fall season than other roadways. The computational result provides risky time periods of day at intersections or pedestrian crossings where the sun glare potentially endangers traffic safety, which be utilized to reduce the crashes due to the sun glare.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.77-83
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• 2017

The Korea Expressway Corporation announced that road casualties on expressways in 2016 were 262 deaths, a 24% decrease compared to 343 deaths in 2015, thanks to the expansion of rest areas for sleepy drivers. And the installation of large-sized banners containing strong messages such as "dozing while driving means your death" helped to reduce the casualty caused by driving while drowsy by 35% compared to that in 2015. Accordingly, this study tried to analyze the impact of public advertisements designed to prohibit dozing while driving on expressways upon drivers, and to present a direction for improvement of such public advertisements in the future. Based on case studies and library researches, the study contemplated the effects of public advertisements on expressways at home and abroad. It was confirmed that the accident rate has been higher on straight roads than on curved roads and that the framing of negative messages using provocative images or slogans on traffic accidents has been considerably effective. In conclusion, if the installation of outdoor billboards for public advertisements at rest areas for sleepy drivers is institutionalized and the systematic provision of information by road section inside and outside of vehicles via Variable Message Sign (VMS) services on expressways, outdoor billboards, or navigation services (including smartphones) is available, it would be possible to maximize the effect of the public advertisements.

• Journal of dental hygiene science
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• v.15 no.5
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• pp.542-550
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• 2015

The purpose of this study was to examine the relationship between the oral health behavior and oral health belief of transportation workers. The subjects in this study were 270 selected taxi drivers who engaged in the taxi transportation industry in Jeollabuk-do. They were selected by convenience sampling. To determine the influence of their general characteristics and oral health belief on scaling experience and oral health education experience, a logistic regression analysis was made. And a multiple regression analysis was made by selecting general characteristics and oral health behavior as independent variables and by selecting oral health belief as a dependent variable. A statistical package SPSS for Windows ver. 12.0 was employed to make all the statistical analysis. As a result of making the logistic regression analysis, benefit that was one of the subfactors of oral health belief had something to do with oral health education experience, and the subfactors that exerted an influence on scaling experience were benefit, susceptibility and barrier. When the multiple regression analysis was carried out to find out influential factors for oral health belief, monthly mean income had an impact on susceptibility and barrier among the subfactors of oral health belief, and self-rated oral health status affected seriousness and barrier. There were differences among the taxi drivers in oral health belief according to their own characteristics, and oral health belief was linked to oral health behavior. Therefore oral health belief and oral health behavior should be taken into account when it's planned to promote the oral health of taxi drivers.

• Science of Emotion and Sensibility
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• v.7 no.4
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• pp.35-41
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• 2004

This study addressed the development of an automobile aroma blast device to reduce fatigue of drivers. We also analyzed the adaptation character of the aroma blast device, The aroma blast device was designed in a way that volatilized aroma is mixed with oxygen (air) and blasted to the outside, It was devised to possibly change on/off time of 2-Port Solenoid Valve using the 8051 micro processor, through which the amount of aroma can be controlled, We conducted an experiment to examine time for occurrence/elimination of adaptation to aroma in 20 college students using 4 types of natural fragrances, The subjects had an average age of 22$\pm$2 years and included both men and women. The results showed that the occurrence and elimination times for adaptation to aroma were 1 minute 28 seconds and 3 minutes and 15 seconds for Jasmine 30%, 2 minutes and 41 seconds and 4 minutes and 3 seconds for Jasmine 50%, 1 minute and 47 seconds and 2 minutes and 59 seconds for Peppermint 30%, and 1 minute 59 seconds and 4 minutes and 11 seconds for Peppermint 50%, respectively.