• Journal of the Korea Safety Management & Science
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• v.16 no.2
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• pp.11-18
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• 2014

Advanced Safety Management System(SMS) of Korea Railroad Corporation for risk management should be established applying contents-centered domestic standard according to Railway Safety Act and process-centered international standards suggested by Lloyd's Register Company. Besides, laws, regulations, guidelines and manuals which are optimized for each sector should be systematically integrated to strengthen the consistency of SMS of KORAIL. New safety regulations and guidelines for safety management/train operations/maintenance should be established according to the safety policy of KORAIL to boost effective field work by regulations, guidelines, manuals, etc. The advanced Safety Management System will lead KORAIL as a competent global enterprise with its boosted reputation in the international railway market.

• Journal of the Korean Society for Railway
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• v.20 no.5
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• pp.703-712
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• 2017

The railway system is an interface industry that can be safely operated by organically operating the lines, vehicles, controls, etc. Various data are generated in the operation and maintenance activities of the railway system. These data are utilized in cooperation with safety and maintenance activities in each field, but amount of data is insufficient for data analysis of safety management due to relevant data being produced without any synchronous criteria such as time or space. In particular, reference data such as location and time of failure data for each field are set to different criteria according to the work characteristics in each field. So, it is not easy to analyze data integrally based on location and time. Therefore, mapping of reference data can be required for integrated analysis of data defined in different formats. By selecting data mapping tools and verifying the results of safety relevant data with the same criteria, the purpose of this paper is to enable integrated analysis of railway safety management data occurring in different fields based on location and time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.1
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• pp.57-64
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• 2017

In order to reduce damages to major railroad components, which have the potential to cause interruptions to railroad services and safety accidents and to generate unnecessary maintenance costs, the development of rolling stock maintenance technology is switching from preventive maintenance based on the inspection period to predictive maintenance technology, led by advanced countries. Furthermore, to enhance trust in accordance with the speedup of system and reduce maintenances cost simultaneously, the demand for fault diagnosis and prognostic health management technology is increasing. The objective of this paper is to propose a highly reliable learning model using various machine learning algorithms that can be applied to critical rolling stock components. This paper presents a model for railway rolling stock component fault diagnosis and conducts a mechanical failure diagnosis of motor components by applying the machine learning technique in order to ensure efficient maintenance support along with a data preprocessing plan for component fault diagnosis. This paper first defines a failure diagnosis model for rolling stock components. Function-based algorithms ANFIS and SMO were used as machine learning techniques for generating the failure diagnosis model. Two tree-based algorithms, RadomForest and CART, were also employed. In order to evaluate the performance of the algorithms to be used for diagnosing failures in motors as a critical railroad component, an experiment was carried out on 2 data sets with different classes (includes 6 classes and 3 class levels). According to the results of the experiment, the random forest algorithm, a tree-based machine learning technique, showed the best performance.

• Journal of the Korean Society for Railway
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• v.16 no.6
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• pp.482-491
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• 2013

Current metro tickets are categorized into transportation cards and monthly season tickets, which offer limited consumer choices. A metro fare system should be introduced based on the diversity of customer demand. Thus, this study's objective is that the metro fare system in Korea should be efficiently operated by analyzing a variety of metro fare systems used in major cities of other countries. In addition, this study proposed the following metro fare systems, one day pass, which is generally used in other countries in a bid to promote public transportation, reduce costs, and increase revenue. A commuting ticket system to increase the demand from cars to subways, and special discounts & a round-trip ticket system for round-trip travelers in case that demand is low was compared with the high supply on the Gyeongchun-line.