• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1908-1912
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• 2007

The metropolitan area needs to control the Automatic Fare Collection (AFC) and transportation card system in order to implement an efficient railway and subway. This paper introduces a suitable analysis to take advantage of the systematic method of the AFC and transportation card. These systems should consider the fare system, transportation pass and AFC equipment, which are organized with the Automatic Ticket Vending Machine, the Ticket Office Machine and the Card System of Radio Frequency (RF). However, the organization includes the fact the Automatic Ticket Vending Machine has a problem with the proceeding speed of passengers and inconvenience. Second, the majority of passengers have not utilized the Ticket Office Machine. Also, it should consider whether the transportation card is the proper system in the metropolitan area. Based on the analysis of national and international cases, it suggests that the AFC should make more improvements in the metropolitan area railway and subway.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1574-1585
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• 2007

In the more and more continues traffic difficulty which comes to be serious it is for solve, in order to like this used plan for new town light train automatic fare collection system, the city development which is balance and the passenger whom it uses, in consequence of the fact that recently believer instruction, the automatic fare collection system the reverse which is convenient is used in the scripture season which is embossed with means it introduces it operates and a manpower with the scientific service control which leads the electric computer anger of passenger service improvement and accounting and statistical business it reduces, the use is convenient and the possibility facility of operating efficiently in rational plan in order to be, description below for the service automation equipment where the efficiency improves it is. Service automation equipment uses a scripture season to be the first boundary gate of the passenger, there must be a place where it uses a service automation facility and in order to be convenient, it considers the moving area and a wait of the reverse station passenger moving area and the space where, must secure the automatic fare collection system which it follows in automation of facility and the service operation of the reverse station which is ticket sale, the collection of tickets back the passenger is convenient and in order it will be able to use, must do and must consider, must arrange the efficient characteristic of the maintenance civil official services.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.51-54
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• 2012

AFC 시스템은 요금징수단말기로서 버스, 철도, 택시와 같은 다양한 대중교통 수단에서 사용되고 있다. 기존 AFC 단말기는 C, C++ 언어로 작성되었으며, 기능 추가 및 수정을 위해 전체 Application의 실행파일이 전부 교체되어야 했다. 본 논문의 목표는 빈번하게 수정되는 주요 기능들을 스크립트 파일로 모듈화 하는 것이다. 이를 위해 스크립트 파일 기반 시스템을 설계하고 일부기능을 구현하여 시스템을 평가하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.247-255
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• 2021

Individual passenger transfer information is not included in Seoul metropolitan subway Automatic Fare Collection (AFC) data. Currently, basic data such as travel time and distance are allocated based on the TagIn terminal ID data records of AFC data. As such, knowledge of the actual path taken by passengers is constrained by the fact that transfers are not applied, resulting in overestimation of the transport index. This research proposes a method by which a transit path that connects the TagIn and TagOut terminal IDs in AFC data is determined and applied to the transit index. The method embodies the concept that a passenger's line of travel also accounts for transfers, and can be applied to the transit index. The path selection model for the passenger calculates the line of transit based on travel time minimization, with in-vehicle time, transfer walking time, and vehicle intervals all incorporated into the travel time. Since the proposed method can take into account estimated passenger movement trajectories, transport-related data of each subway organization included in the trajectories can be accurately explained. The research results in a calculation of 1.47 times the values recorded, and this can be evaluated directly in its ability to better represent the transportation policy index.