• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.167-189
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• 2022

In the case of SAE autonomous driving levels 2 and 3, since complete autonomous driving is impossible, the take-over process is essential, and take-over time(TOT) is the most important factor in determining the safety of the autonomous driving system. Accordingly, research on TOT is being actively conducted, but each research is independently conducted and general conclusions that integrate various research results are required. Therefore, in this study, the factors affecting TOT were analyzed using meta-analysis, which integrates the results of individual studies and presents an integrated opinion. As a result of meta-analysis, a total of 10 influencing factors were selected, and most of them were related to the non-driving related task(NDRT) type. In addition, implications for the future research direction of take-over and NDRT were presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.59
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• pp.79-84
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• 2000

Korean industries have been tend to depending upon historical information to control risk. The other hand, foreign industries have been identify risk factors using system safety techniques to predict future risk. One agency or person could not solve the problems of total safety system for improving productivity. In order to solve those problems, the production-safety group is necessary, and safety control system must be adapted by fitting to the production flow. This paper is present the methodology of driving occupational safety programs to increase productivity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.280-298
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• 2021

As the development automated vehicles(AV) actively progresses around the world, the demand for a reasonable and systematic evaluation method for AVs is increasing. Research on scenarios, evaluation procedures, and methods for evaluating AVs conducted in simulations and proving ground(PG) is actively conducted internationally. In contrast, methods and procedures for evaluations on real roads are still in their infancy internationally. Therefore, it is necessary to conduct research on evaluating AVs on real roads in preparation for future use of AVs. This study aims to define the basic direction for evaluating the driving safety of AVs on real roads. To this end, the evaluation direction and process of AVs were presented on the real roads, and qualitative and quantitative evaluation indicators were selected to evaluate driving safety. A total of 38 items were selected based on the Road Traffic Act as qualitative evaluation items for evaluating the driving safety of AVs on real roads.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.30-42
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• 2023

Various studies have been conducted using microtraffic simulation (VISSIM) to analyze the safety of traffic flow when introducing autonomous vehicles. However, no studies have analyzed traffic safety in mixed traffic while considering the driving behavior of general vehicles as a parameter in VISSIM. Therefore, the aim of this study was to optimize the input variables of VISSIM for non-autonomous vehicles through genetic algorithms to obtain realistic behavior. A traffic safety analysis was then performed according to the penetration rate of autonomous vehicles. In a 640 meter section of US highway I-101, the number of conflicts was analyzed when the trailing vehicle was a non-autonomous vehicle. The total number of conflicts increased until the proportion of autonomous vehicles exceeded 20%, and the number of conflicts decreased continuously after exceeding 20%. The number of conflicts between non-autonomous vehicles and autonomous vehicles increased with proportions of autonomous vehicles of up to 60%. However, there was a limitation in that the driving behavior of autonomous vehicles was based on the results of the literature and did not represent actual driving behavior. Therefore, for a more accurate analysis, future studies should reflect the actual driving behavior of autonomous vehicles.

• Journal of Korean Society of Transportation
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• v.35 no.5
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• pp.423-433
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• 2017

During recent 5 years, it was recorded that 20% of total accident frequency and 30% of total number of death have been occurred due to drowsy driving. Drowsy driving accident is result from the loss of driving ability due to driver's accumulated fatigue. Continuous driving time can be measured as a surrogate variable to quantify the level of fatigue. The main purpose of this research is to investigate statistical correlation between the proportion of continuous driving vehicle (more than 2 hours) and the number of drowsy accidents. To carry this out, continuous driving time was measured using GPS route-guidance trajectory data. Also, accident frequency, traffic volume and segment length were collected to estimate safety performance function (SPF) for Jungbunearuk expressway in Korea. Through various types of estimated SPFs, statistical correlation was analyzed based on estimated statistical indices. This research can provide theoretical background for enforcement to regulate commercial vehicle driver's continuous driving time. In addition, throughout the trajectory data expansion, it is expected that strategy for anti-drowsy driving facilities installation can be established based on the suggested methodology.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.62-77
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• 2022

A cooperative driving automation system is imperative to overcome the limitation of the stand-alone automated driving technology. By definition, a cooperative driving automation system refers to a technology in which an automated vehicle cooperates with other vehicles or infrastructure to increase driving efficiency and safety. Specifically, in this study, the technical elements necessary for the cooperative driving automation technology and the technological research trends were investigated. Subsequently, implications for future cooperative driving automation technology development were drawn through the research trends. Finally, the importance of cooperative driving automation technology and infra-guidance service for automated vehicles were discussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.5
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• pp.637-644
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• 2015

Bicycles share the road where high speed cars run and driving license is essential to bicyclist. After sunset, accidents can be occurred due to changing one line to another line in a road inadequately and bicycle driving route changing without an alarm. In this paper, we apply the same system as an automatic signal lights system to prevent the accidents for bicyclist safety. Then, we verify it using proteus VSM simulation.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.4
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• pp.1-6
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• 2002

Engine lubrication system is generally affected by vehicle driving conditions, which are composed of acceleration, braking deceleration and accelerating during cornering. The major reason is due to the oil pan system in which oil is directly influenced by inertia farce caused by vehicle driving conditions. Therefore, to confirm safety of engine lubrication system inertia farce effects are also considered in the developing state. For the purpose, we have carried the engine tilting tests using ourselves made test rig. Verifying the test results we also measured the inertia effects on the engine lubrication system using the circular tuning and slalom test with vehicle. Through the comparison study between two kinds of results we obtained that the engine tilting test rig was very useful to confirm the safety evaluation of engine lubrication system.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1403-1407
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• 2007

The bogie of Rolling Stock is the basic rolling component. It operates the train body, guides the body considering various tracks and offers comfort to passengers. We can verify the safety level of bogie about all factors through the first -grade scenario of Preliminary Hazard Analysis, but especially the horizontal acceleration sensor, equipped in each power bogie and trailer bogie, is the device, which makes it possible to test bogie instability and uncomfortable body movements by the method, similar to actual train driving, and in this context the necessity of this device becomes important. This paper would classify the main functions of driving sub system and examine the reliability, availability, maintainability and safety, which are main factors of RAMS. Especially, we would realize the bogie instability sensor with a simulator and offer the content in analyzing the data by the statistical method, which are obtained through the connected test with OBCS.

• Proceedings of the KIEE Conference
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• summer
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• pp.1300-1303
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• 2004

Using AF(Audio Frequency) track circuits to control block signal automatically. ATC(Automatic Train Control) system employed in urban transit 3/4 line, Gwacheon-line, Bundang-line and Ilsan-line pursues the safety of train operation. ATC is employed as important means for the safety. in which the distance between trains is controlled to satisfy the safety requirement. In this paper, we analyze the control algorithm of ATC and investigate the improvement plan of urban transit driving control mode to guarantee the automatic driving function.