• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.43-55
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• 2007

Gyeonggi-do has conducted bus management and service evaluation of bus operating company since 2005 under the law for promoting public transportation. The evaluation results are used for improving bus service, making policy, and estimating incentives to bus companies. A lot of cost and man-month are needed to evaluate bus management and service for bus operating company, and many companies are against the evaluation. Therefore, the effect analysis on evaluation system should be followed to maintain it. This research results in the evaluation system has positive effects through quantitative and qualitative analysis. The data of bus company's operation condition in 2005 and 2006 are used for a comparative analysis. From the survey result for the company, bus drivers, and administrators, it results that positive effects are predominant. The results of this research could be used for a shield against some criticism about appropriateness of the evaluation criteria and effectiveness of the evaluation system. For improving bus service, evaluation items and criteria could be added or adjusted based on this research.

• Transactions of the Korean Society of Automotive Engineers
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• v.17 no.5
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• pp.84-90
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• 2009

The bi-modal tram is under development as a new public transportation. The features of the tram are an extended wheel base and its length. This features result in difficulties for drivers on maneuvering the tram. Therefore, the all wheel steering system is applied to the articulated vehicle. The AWS system enables the vehicle to steer all the rear wheels independently and improves its driving characteristics. However, the bi-modal tram has a problem to move backward in the limited place because of its geometric feature and the AWS system. Hence, the reverse parking assistant algorithm for articulated vehicle is developed to solve the problems of the reverse parking. Using the vehicle model which includes the reverse parking assistant algorithm, the dynamic analysis is performed for several parking cases. By the result of the analysis, the stability and validity of the reverse parking assistant algorithm is verified.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2092-2093
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• 2008

Since Jan. 2004, the Ministry of Construction and Transportation has partly introduced estimation system of historical cost data in order to reflect result cost of construction market to cost estimation for public construction. And KEPCO started estimation system of historical cost data in the electrical construction works. Electrical construction cost index a matter of great importance. This paper was conducted to examine estimation methods of the items of the price index estimation system of historical cost data and suggest reasonable applications.

• Land and Housing Review
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• v.10 no.3
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• pp.77-87
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• 2019

In Korea, the modular construction method was applied to the construction of facilities such as military barracks and school dormitories, beginning with the pilot project of Seoul New Elementary School in 2003. In 2017, public modular houses were supplied to Busan(Yongho-dong) and Seoul(Gayang-dong), and modular housing is expected to continue to be supplied in the future. However, there is no clear construction standard for the modular housing construction yet, and there are few cases where the infill modular system is applied. Therefore, this study established the work breakdown structure and proposed a standard process focusing on the infill modular system applied to the construction of Dujeong-dong modular house in Cheonan. Level 1 of the work breakdown structure by construction stage of Infill modular was defined as modular manufacturing, assembly, and finishing process. Level 2 was defined as preparation, modular production, modular infill, modular fixing, floor plastering, building finishing, and other site finishing. Level 3 is defined as 57 detailed unit work of infill modular construction. The standard process of infill modular is proposed for the assembly stage that is commonly applicable to infill modular housing construction. The results of this study can be used for the process plan, transportation plan, lifting plan of modular housing construction.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.3
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• pp.166-171
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• 2009

In recent years, video detection systems have been implemented in various infrastructures such as airport, public transportation, power generation system, water dam and so on. Recognizing moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. Segmentation and tracking of multiple vehicles in crowded situations is made difficult by inter-object occlusion. In the system described in this paper, the mean shift algorithm is firstly used to filter and segment a color vehicle image in order to get candidate regions. These candidate regions are then analyzed and classified in order to decide whether a candidate region contains a license plate or not. And then some characters in the license plate is recognized by using the fuzzy ARTMAP neural network, which is a relatively new architecture of the neural network family and has the capability to learn incrementally unlike the conventional BP network. We finally design a license plate recognition system using the mean shift algorithm and fuzzy ARTMAP neural network and show its performance via some computer simulations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.106-107
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• 2018

Since Many person go to work or get off, it is difficult to use the public transportation comfortably on the morning or the evening. In this paper, we implement the passenger notification system on the bus using the NFC. The implemented system counts the number of passengers with the NFC reader for the fare. The user is able to find out the crowds of the bus transferred from the server before hop-in.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.599-604
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• 2005

As a public transportation possible to convey a large quantity, the railway is safe and keeps time, but it has hazards to cause a disaster if the accidents such as collision, derailment, and fire occur. So advanced countries carry out System Safety Plan with various program activities which have connected orders to maintain or improve safety level by finding hazards, evaluation, taking measures and practice, and improving problems. Especially they systematically manage hazards to cause railway accidents and the factors which possibly threat safety, using national classification of risk and causes with analysis of the related data such as establishing accident/incident data and safety regulations/standards. As executing railway safety regulations, domestic railway is currently trying to improve railway safety management system. The research of classification system of accidents/incidents is one thing to make railway safety management systems better. In this research, we reviewed hazardous factors of railway systems and classification of the causes as the beginning of system safety management, and we conducted study on development of railway accident classification based on findings of this research. The results are able to be used in identifying hazards and activities of systemic safety management at the step of railway accident report and investigation.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.173-180
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• 2010

This research aims to enhance the security and safety of bicycle facilities by utilizing convergence technology of ubiquitous sensor network in the transportation system. To achieve the aim, U-bike system has developed by utilizing sensor network technology, and the serviceability and safety function of public facilities in the system have enhanced. This research also presents a plan for the construction of U-bike using ubiquitous sensor network and safety infrastructure of facilities by analyzing bicycle traffic reports and characteristics of service through studying the literature on the security of bicycles and the safety of facilities on bicycle lanes. The result of this research will contribute to the enhancement of safety function of bicycle lanes and facilities around National 4 major rivers bicycle lanes in the future.

• Journal of Navigation and Port Research
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• v.29 no.5 s.101
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• pp.371-376
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• 2005

A range of problems have risen as the results of the obligated charter service. Constant lack of operation improvement compared to regular routes and lower quality service are results of business practice by the service providers. Therefore, this study executed an empirical research using AHP to present a method for improvement by investigating remote island charter service providers. Result shows that the desirable method is to implement operation evaluation system to induce service providers to consistently put efforts on the operating system development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2399-2413
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• 2021

A recommendation system is an information filter tool, which uses the ratings and reviews of users to generate a personalized recommendation service for users. However, the cold-start problem of users and items is still a major research hotspot on service recommendations. To address this challenge, this paper proposes a high-efficient hybrid recommendation system based on Fuzzy C-Means (FCM) clustering and supervised learning models. The proposed recommendation method includes two aspects: on the one hand, FCM clustering technique has been applied to the item-based collaborative filtering framework to solve the cold start problem; on the other hand, the content information is integrated into the collaborative filtering. The algorithm constructs the user and item membership degree feature vector, and adopts the data representation form of the scoring matrix to the supervised learning algorithm, as well as by combining the subjective membership degree feature vector and the objective membership degree feature vector in a linear combination, the prediction accuracy is significantly improved on the public datasets with different sparsity. The efficiency of the proposed system is illustrated by conducting several experiments on MovieLens dataset.