• Proceedings of the KSR Conference
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• 2010.06a
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• pp.80-97
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• 2010

With the hubbing strategy, construction of "Incheon Airport Railroad(AREX)" was proceeded to expand the accessibility at the level of airports in rivalry like Kansai and Chek Lap Kok. At the present 1st phase which routes from Incheon Airport to Kimpo Airport is opened March 2007. 2nd phase which is planned from Kimpo Airport to Seoul station will be opened at the end of October 2010. But the accessibilty to AREX is delinquent because it is connected only in Seoul station and the maximum operation speed is 110km/h which downgrade the time competitiveness with airport limousine. In addition, transfering of user is necessary to access to AREX from Kyungbu KTX. With these reasons, travel demand in 1st phase section is low(7%). According to reestimation of travel demand, demand analysis result compared with convention condition is insufficient, so required annual average government grant-in-aid amounts to 200 billions won, and it is right time to develop the method for revitalization of Incheon airport railroad. In this paper, facilities plan and operating plan to make new travel demand by speed-up which is able through substitution train now running with high speed train(EMU, 180km/h) and direct connection of KTX, will be suggested. This will contribute to offering high speed railroad service to customers and the reduction of government grant-in-aid by way of demand expansion.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.1-19
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• 2023

Bikes have recently emerged as an alternative to carbon neutrality. To understand the demand for public bikes, we endeavored to estimate travel frequency of public bike by considering the intermediate stops. Using the GPS trajectory data of 'Ttareungyi', a public bike service in Seoul, we identified a stay point and estimated travel frequency reflecting population, land use, and physical characteristics. Application of map matching and a stay point detection algorithm revealed that stay point appeared in about 12.1% of the total trips. Compared to a trip without stay point, the trip with stay point has a longer average travel distance and travel time and a higher occurrence rate during off-peak hours. According to visualization analysis, the stay points are mainly found in parks, leisure facilities, and business facilities. To consider the stay point, the unit of analysis was set as a hexagonal grid rather than the existing rental station base. Travel frequency considering the stay point were analyzed using the Zero-Inflated Negative Binomial (ZINB) model. Results of our analysis revealed that the travel frequency were higher in bike infrastructure where the safety of bike users was secured, such as 'Bikepath' and 'Bike and pedestrian path'. Also, public bikes play a role as first & last mile means of access to public transportation. The measure of travel frequency was also observed to increase in life and employment centers. Considering the results of this analysis, securing safety facilities and space for users should be given priority when planning any additional expansion of bike infrastructure. Moreover, there is a necessity to establish a plan to supply bike infrastructure facilities linked to public transportation, especially the subway.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.175-184
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• 2022

Travel YouTubers who cross the boundary between tradition and novelty communicate by sharing their activities with others through SNS-based media. Media content should not only satisfy individuals, nor should it be too purpose-oriented. YouTube channels should be operated so that users can easily access content naturally, and more diverse methods can be pursued based on usage patterns and satisfaction theory. This study is about the type of perception of Generation Z on travel YouTube titles. As a result of conducting QUANL program analysis on 34 Q samples and 28 P samples from the Q methodological perspective, a total of three types were found. For types with unique characteristics, the first type was named "attention of keywords that draw imagination," the second type was "preferred to stories that stimulate curiosity," and the third type was "image satisfaction reflecting expectations." In addition, considering the characteristics of each type found, the scalability and strategic plan of the activities that Generation Z travel YouTubers want to unfold were presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.605-607
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• 2016

The trend is growing domestic and international travelers. Research before making plans to travel people, Leave the tour you do not know the way, there are people who can not find a better destination. In this paper, to solve this problem and provide a mobile-to efficiency in traveling through a smart-phone application. At the same time to improve the convenience and satisfaction, etc. Select the destination country and traveling through the guidance system and the destination in the shortest path from the current location of the user to select multiple destinations shorten the travel route and save time. Also implemented to provide a convenience to guide the position of the additional facilities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.263-271
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• 2023

In the (3,3) close combat model based on the Lanchester Square Law, this study proposes a plan to optimally allocate residual combat power after the battle to other battlefields. As soon as the two camps of three units can grasp each other's information and predict the battle pattern immediately after the battle began, the Time Zero Allocation of Force (TZAF) scenario was used to initially allocate combat power to readjust the combat model. It reflects travel time, which is a "field friction" in which physical distance exists from battlefields that support combat power to battlefields that are supported. By developing existing studies that try to examine the effect of travel time on the battlefield through the combat model, this study forms a (3,3) combat model, which is a large number of minimum units. In order to achieve the combat purpose, the principle of optimal combat force operation is presented by examining the aspect that support combat power is allocated to the two battlefields and the consequent battle results. Through this, various scenarios were set in consideration of the travel time and the situation of the units, and differentiated results were obtained. Although the most traditional, it can be used as the basic logic of the training or the commander's decision-making system using the actual war game model.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.6
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• pp.726-732
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• 2013

It is required for UGV(Unmanned Ground Vehicle) to have a LPP(Local Path Plan) component which generate a local path via the center of road by analyzing binary map to travel autonomously unpaved road in rough environment. In this paper, we present the method of boundary estimation for unpaved road and a local path planning method based on RANGER algorithm using the estimated boundary. In specially, the paper presents an approach to estimate road boundary and the selection method of candidate path to minimize the problem of zigzag driving based on Bayesian probability reasoning. Field test is conducted with scenarios in rough environment in which bush, tree and unpaved road are included and the performance of proposed method is validated.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.57-64
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• 2007

Mobile Agent has been known that it is an efficient communication paradigm for distributed applications and that a mobile agent provides higher flexibility and performance than existing communication paradigms. Despite these benefits, mobile agent is not used widely in the market because it is very vulnerable to a variety of attacks. To be applied to develop distributed applications, a mobile agent paradigm must consider both security and performance. In this paper, we propose and evaluate an improving method of a migration performance for a mobile agent model using ISM(Integrated Security Manager), which provides high-level security services and travel plan guide. In the proposed method. ISM offers the travel plan guide service which replies the accumulated results when a mobile agent has executed all migration plans related the trusted domain to be managed by ISM. Our method improved about $33{\sim}82%$ of total execution time than the existing method.

• Asia pacific journal of information systems
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• v.1 no.1
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• pp.165-181
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• 1991

This paper presents a developmental approach undertaken by Asiana Airlines to implement computerized reservation system (CRS), Asiana Airlines is a new entrant into the once monopolized airline business in Korea. As a new entrant, it was absolutely necessary to develop CRS fast to begin the business in a relatively short period of time. By taking the risk of choosing Airline Control System which no airlines has yet implemented CRS with, Asiana Airlines was able to shorten development time considerably as well as integrate CRS with internal management information systems. This enhances system flexibility greatly. It is initially viewed that developing CRS is not to get competitive advantage but to overcome competitive disadvantage at Asiana Airlines. The paper also surveys the changing environment of CRS in general and the future implementation plan for ARTIS(Asiana Airline Reservation and Travel Information System) to be more of a competitive weapon in increasingly competitive international air travel market.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.549-550
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• 2023

본 논문에서는 데이터 마이닝을 활용한 감성적 여행계획 제공 앱으로 각 개인에게 알맞은 맞춤형 여행계획 추천 어플을 연구하고자 한다. 여행 계획에서 여행자들이 더 좋은 경험을 하도록 돕고 앱을 통하여 여행을 최대로 즐길 수 있으며 앱에서 제공하는 데이터들을 바탕으로 숙소, 관광명소, 음식점 등의 자료제공으로 최상, 최적의 숙소 체험, 훌륭한 음식점 예약, 주변의 좋은 여행지를 검색 가능하게 하고자 한다. 아울러, 어떤 여행을 계획하든 제공하는 앱으로 간편하게 감성적으로 여행을 계획하고 그 체험과 정보들을 다른 사람들에게도 여행 가이드로 추천, 공유할 수 있도록 하고자 한다.

• ETRI Journal
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• v.46 no.3
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• pp.473-484
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• 2024

We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.