• Journal of the Korean Society for Railway
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• v.18 no.5
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• pp.426-438
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• 2015

Train speed controlling systems are now changing from wayside systems to onboard signaling systems. Locomotive engineers refer to wayside markers to decide on a braking point when the train speed appears to be lower than the current speed. However, in the onboard signaling systems that have been installed recently, the braking point is not determined by the wayside signal but by an onboard value. In this paper, we studied braking points and methods for deciding on such points by engineers using the onboard systems. An optimized braking point is proposed via simulation of decelerating velocity to control the velocity in the signaling system through a predefined point; Gaussian distributions are used to simulate the actual situation. We estimated and demonstrated how to obtain braking parameters in order to satisfy the interval of permitted error.

• Journal of the Korean Society for Railway
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• v.17 no.6
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• pp.415-422
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• 2014

Reinforced trackbeds are an important layer that has a significant effect on the deformation of the track, therefore, a deeper understanding of reinforced trackbeds is necessary. In this paper, we conduct a large triaxial test in order to evaluate the resilient modulus ($M_R$) of reinforced trackbed materials through considering several factors such as the grain size distribution (GSD) and loading conditions. It is identified that the maximum size of the particle, GSD, and compacted water content affect the $M_R$ but the loading frequency does not. Because these tests are performed with consideration of the field environment, the test results are useful for analyzing tracks including reinforced trackbeds. The data are limited to evaluating the parameters of $M_R$ model; however the parameters of the deviatoric and bulk stress models that can be used in various loading conditions are proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.74-79
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• 2016

The Seoul Metropolitan Subway, which started operating in 1974, plays a major role in transporting 7,289 thousands passengers daily. This trend of a steadily increase in passengers from 2012 has increased the congestion rate because of the limited capacity and time. To solve this problem, Seoul city is consistently working on improving the subway facilities, such as the construction of a detour path. This project, however, has only a slight effect on improving the congestion rate and is too expensive to construct the facilities. Hence, this study suggests The Congestion Standardization System based on the IoT for improving the subway congestion rate. Based on the system, the expected effect analysis was performed, which resulted in a decrease in ride passengers from 34 to 20. In addition, this expected effect analysis shows that the number of subway vehicles can increase from 20 to 24. The suggested system will have a significant effect on the efficiency of the management system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5802-5809
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• 2015

Railway signaling system is the vital control system in charge of the core for safely train operation, its functional safety must be checked through sufficient verification. Until now, to verify the interoperability of developed railway signaling system, the on-site testing approaches have been applied after testing in laboratory with simulator. This approaches are some limited range of interoperable verification, so more systematic verification interoperability is required. In this paper, the three phases of interoperability verification for railway signaling system was proposed, and methodology for each phases are represented. And also The interoperability validation methodology and supported testing tool for railway signaling system is represented in this paper

• International Journal of Highway Engineering
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• v.11 no.4
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• pp.41-47
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• 2009

This study deals with the side-swipe accidents of 4-legged signalized intersections in Cheongju. The objectives are to analyze the characteristics of the accidents and to develop the related models. In pursuing the above, this study gives particular emphasis to finding the appropriate methodology to modelling. The main results are as follows. First, injuries were analyzed to be twice than property-only accidents in the side-swipe accidents. The accidents were evaluated to occur more in inside-intersection. Also, the accidents were analyzed to be almost the auto-related accidents and to be occurred by the unsafely-driving activity. Second, multiple linear regression models were evaluated to be more statistically significant than multiple non-linear. The most fitted models were analyzed to be the models with the number of accidents as the dependent variable. The factors of side-swipe accidents analyzed in this study were ADT, area of intersection, right-turn-only-lane, number of pedestrian crossings, limited speed of main road, maximum grade and number of signal phase.

• Journal of Korea Port Economic Association
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• v.22 no.3
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• pp.97-140
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• 2006

The purpose of this study is to activate Korea's coastal passenger shipping by improvement of the deterrent factors on the basis of field data collected in order to help stimulate it and enhance its competitiveness. As the representative model of this study, the "P" car-ferry liner was chosen, whereby various deterrent factors were observed in the course of the SWOT analysis and through the questionnaires. The major deterrent factors in summary were inflexible government regulations for additional ship operation, disadvantages of taxes policy, port facility shortages, non-allowing of ship's night operation, complicated and inflexible ship's operation controls by the concerned authorities, unreasonable divisions of steaming areas, and existences of obstacles on the ship's running routes, etc. which considered all are important to activate the liners.

• Journal of IKEEE
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• v.25 no.3
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• pp.565-570
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• 2021

This paper describes UL 4600, a new international safety standard to ensure safety of autonomous cars. Conventional vehicular safety standards such as ISO 26262 and ISO/PAS 21448 suffer from large limitations to be applied to autonomous cars, but UL 4600 exploits new approaches to be applied to autonomous cars. Conventional standards define various technological aspects to ensure safety and require manufacturers to certify these aspects. On the contrary, UL 4600 requires manufacturer to explain and prove why autonomous cars are safe. In UL 4600, (1) under specific environments where the system is designed to operate with, (2) claims should be defined to guarantee given safety, and (3) arguments should be suggested to satisfy given goals, and (3) evidences should be presented to prove given arguments. UL 4600 is technology-neutral since it does not require specific designs nor technologies. So UL 4600 only requires manufacturers to prove given safety goals regardless of methods and technologies. Also UL 4600 admits various cases of autonomous car field operations into the standard via feedback loop. So UL 4600 effectively maneuvers various dangers unknown at the time of standard establishment.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.907-916
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• 2018

This study presents a methodology that can integrate the information generated by the Busan taxi DTGs and Tachometers. Utilizing the results by the methodology, travel patterns of taxi users were analyzed. Also to verify the reliability of the methodology was conducted by comparing its results with those of O-D information of the National Transportation DB (KTDB). Despite the limited number of samples. the results of this study showed that DTG data, which can reflect changes in status and conditions in real time, can be used as a replacement for KTDB. It is expected that the results generated by the suggested methodology can be useful for developing and executing desirable taxi related policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.20-29
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• 2021

In the Industry 4.0 era, artificial intelligence has attracted considerable interest for learning mass data to improve the accuracy of forecasting and classification. On the other hand, the current method of detecting anomalies relies on traditional statistical methods for a limited amount of data, making it difficult to detect accurate anomalies. Therefore, this paper proposes an artificial intelligence-based anomaly detection methodology to improve the prediction accuracy and identify new data patterns. In particular, data were collected and analyzed from the point of view that sensor data collected at vehicle idle could be used to detect abnormalities. To this end, a sensor was designed to determine the appropriate time length of the data entered into the forecast model, compare the results of idling data with the overall driving data utilization, and make optimal predictions through a combination of various sensor data. In addition, the predictive accuracy of artificial intelligence techniques was presented by comparing Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) as the predictive methodologies. According to the analysis, using idle data, using 1.5 times of the data for the idling periods, and using CNN over LSTM showed better prediction results.

• Journal of the Korean Geosynthetics Society
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• v.20 no.4
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• pp.151-163
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• 2021

This paper is dealt with railway slope stability for slope reinforcement using a geosynthetic concrete composite mat(GCCM). Recently, according to a change in weather caused by global warming, train operation has been restricted by the loss of backfill slope at the roadbed, which is consists of gravel, due to typhoons and heavy rainfall. In addition, the amount of damage is getting more significant than the cost of restoration, and the safety of workers is worried. In order to improve this limitation, a slope stability analysis was applied with a rapid hardening composite mat so that it can quickly secure a construction surface with increased workability and work stability and reduce maintenance costs by preventing re-loss in case of heavy rain and fundamentally blocking vegetation. As a result of the analysis, it was confirmed that the increase in safety factor was confirmed when the rapid harding composite mat was applied.