• Journal of the Korean Society for Railway
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• v.20 no.4
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• pp.539-549
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• 2017

This paper proposes an analytical methodology of station capacity calculation on high - speed railway. Our method explicitly takes into account the effect of the number of sidings and the combination of train halting patterns (stop - stop, pass - stop, stop - pass, pass - pass) on the capacity of a station. To verify the reliability of our model, we conducted capacity analysis of selected stations using the Railsys simulator. We found that the difference in calculated capacity between our model and Railsys was less than 10%. After Monte Carlo simulation, our model was determined to be a good one. In addition, the consistency in capacity between our model and the train-path allocation program (Korea Rail Network Authority) was statistically significant.

• Journal of the Korean Society for Railway
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• v.20 no.4
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• pp.529-538
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• 2017

There has been much interest in optimizing the halting patterns of high-speed trains, for example by introducing more non-stop trains to supply faster train service to the passengers, which could later bring about a discussion about introducing new high speed train service with differentiated price and service. In general, halting patterns can be considered by constructing an efficient line plan, in which all demand should be covered and the total travel time can be reduced as much as possible. In this study, we present a two-step process based on two optimization models. One is to minimize total kilometers of trains to run on each route ; this will be done using a line planning model under the assumption of all-stop patterns. Then, in the next step, the all-stop patterns are optimally decomposed into several halting patterns in order to minimize the total travel time. We applied the two-step process to the latest demand data in order to develop KTX halting patterns as well as to determine the frequency of each line and compare the current line plan with the optimized one.

• Journal of the Korean Society for Railway
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• v.13 no.3
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• pp.333-338
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• 2010

Investment in railroad, it is very important to find a way to increase a benefit to make the economic efficiency more positive, but is also considering that the cost will be higher. In this paper, we suggest a optimized model for increasing the benefit of railroad business considering of stopping patterns. According to existing analytical method, the operation hour is calculated based on that scenario regarding that it stops at all major stations but it does not fit the actual operation conditions. Considering various stopping patterns can be reasonably calculated the cost for required rail cars in the planning stages, and can also affect economic efficiency in a positive way.

• Journal of Korean Society of Transportation
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• v.23 no.6 s.84
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• pp.115-125
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• 2005

The line planning problem is to determine the origin and destination stations of the lines with their frequencies so as to meet the OD demands. Since the advent of high speed trains, Korea railway is confronted with the urgent difficulty to reconstruct the line configuration with the frequencies of each line and each fleet type so the demands could be newly created as well as satisfied. Furthermore. the existing trains except the high speed trains suffer from a longer traveling time than before. Now, to reduce the passenger traveling time, the trains with the various halting patterns are run in the same line. Therefore, it is necessary to develop a new line planning model to consider the various halting patterns. Most of studies find the frequencies of each lines which meet the link traffic loads or minimum link frequencies. But these are based on the assumption of all stop patterns. Furthermore, it is not easy to include the actual constraints as like the minimum number of stops at a station, the maximum number of stops or a train, etc. We develop the line planning model considering not only the various halting patterns but also the actual constraints which is based on the multicommodity network flow model with the additional constraints.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.111-122
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• 2007

This paper investigates the rail service patterns by train class. The emphasis in intercity rail planning is to more efficiently use of existing station facilities. Rail transit operations are affected by the system layout and ridership patterns and by work rules. Operations are also influenced by past practices and the institutional setting. Main factors to decide train service patterns are the location, socioeconomic characteristics, land use and travel demand of the station. In this context, the travel demand of intercity rail station is of crucial significance. Tests on a KTX case shows that train service frequency can be efficiently decreased in weekday to transport the same passenger demand. The work has shown many subjects that need further research including various factors influencing on train frequency. This study serves the railroad authorities in planning and determining business strategy in the increasingly competitive environment of regional rail transport.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.7
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• pp.297-306
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• 2017

Citizens want more accurate forecast information using Bus Information System. However, most bus information systems that use an average based short-term prediction algorithm include many errors because they do not consider the effects of the traffic flow, signal period, and halting time. In this paper, we try to improve the precision of forecast information by analyzing the influencing factors of the error, thereby making the convenience of the citizens. We analyzed the influence factors of the error using BIS data. It is shown in the analyzed data that the effects of the time characteristics and geographical conditions are mixed, and that effects on halting time and passes speed is different. Therefore, the halt time is constructed using Generalized Additive Model with explanatory variable such as hour, GPS coordinate and number of routes, and we used Hidden Markov Model to construct a pattern considering the influence of traffic flow on the unit section. As a result of the pattern construction, accurate real-time forecasting and long-term prediction of route travel time were possible. Finally, it is shown that this model is suitable for travel time prediction through statistical test between observed data and predicted data. As a result of this paper, we can provide more precise forecast information to the citizens, and we think that long-term forecasting can play an important role in decision making such as route scheduling.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2002.11a
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• pp.21-24
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• 2002

본 논문에서는 광대역 무선 데이터 서비스용으로 표준화된 WLAN IEEE 802.11a Convolutional 부호기의 펑처링 패턴에 따른 성능을 분석하고, 간략화 된 구현 방법을 제시한다. 제한된 주파수 대역에서 Convolutional 부호기의 구조를 변경함이 없이 정보 전송율을 향상시키기 위해 부호기에서 출력되는 비트열을 일정한 비트 간격마다 1비트씩 생략하는 펑처링 기법이 주로 이용된다. IEEE 802.11a WLAN 채널코딩에서도 부호율이 l/2, 구속장 7인 Convolutional 부호기를 기반으로 2/3와 3/4과 같은 높은 부호율을 얻기 위해 펑처링 기법을 채택하고 있다. 본 논문에서는, 단일 하드웨어 구조를 사용해서 1/2의 기본 부호율로부터 전송율에 따라 WLAN IEEE 802.11a의 펑처링에 의한 부호율 2/3와 3/4에서, 부호기의 구조를 간략화하기 위해 펑처링 패턴 구조에 따른 부호화 성능을 조사하고 단일하드웨어 구조를 사용해서 이들 부호율의 시스템을 구현할 수 있도록 한다. 모의 실험에서는 부가 백색 가우시안 잡음 현상이 존재하는 채널을 모델링 해서, BPSK와 QPSK의 변조방법에 대해 WLAN IEEE 802.11a 펑처링 패턴에 따른 부호화 성능을 제시한다.

• Proceedings of the SAREK Conference
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• 2006.11a
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• pp.97-97
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• 2006

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1811-1825
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• 2011

This study analyzed the transit services with respect to transit service measures such as the load factor representing number of passengers between stops, dwelling time, and operational speed based on transit smart card data recorded in 2009. A case study on the local bus line 7024 connecting Seoul railway station to evaluate bus services at passenger perspectives was accomplished. From the results, we found that the dwelling time was not affected by the number of passengers which is because the tagging patterns are different among passengers. The operational speed was analyzed by calculating the average speed of the bus route and the speed of each bus stops based on dwelling time. Interestingly, calculating operation speed based on the transit smart card data is the first time effort ever made and this means that it is not necessary to observe travel speed of bus and railway at a field level any more. we hope that this study will be a basis of evaluation of transit services purely based on the transit smart card data and help to make better transit services for passengers and operators as well.

• Journal of Ginseng Research
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• v.13 no.2
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• pp.178-182
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• 1989

Red ginseng products manufactured by the Korea Ginseng and Tobacco Corporation were analyzed to determine the crude saponin , total saponin and ginsenoside contentents by gravimetry, spertrometry and HPLC, respectively, to see if effective quality control of the components in the products can be achieved. Medicinal powders, powders, tablets and capsules which were made from ginseng powder showed similarity in saponin content, the ratio of PD to PT saponin, and the ginsenoside content and composition, while extract powder, extract, extract tea, extract pills and tea, which were made of ginseng extract, showed difference in saponin content, ratio of PD to PT saponin, and the content and composition of ginsengside. It is, accordingly, believed that ginseng products which are uniform in contents and saponin composition can be produced by carrying out strict quality control throughout the processes of making raw red ginseng into final products.