• 대한교통학회지
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• 제13권4호
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• pp.5-29
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• 1995

Advanced Traveler Inoformation Systems*ATIS) , as a subsystem of ITS influence the travel choices of dreivers by providing them with historical, real-time and predictive information to supprot travel decisions and consequently improves the speed and quality of travel. For thesuccessul accomplishment of ATIS, the time-dependent variations of traffic in a road network and travel times of vehicles during their journey must be predicted . The purpose of this study is to evaluate the past developments in the dynamic route choice models and to apply the instantaneous dynamic user optimal route choice model. recently formulated with flow propagation constraints by Ran, Boyce and LeBlanc, to the real transportation network of Seocho-Ku in Seoul. As input data for this application, the time-dependent travel rates are estimated and the link travel time function is derived. The modelis validated from three view points : the efficiency of model itself the ability to predict traffic volume and travel time on links, and the optimal traffic control.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.894-897
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• 2014

The speed of processes and the extremely large amount of data to be used in Intelligence Transportations System (ITS) cannot be handling by humans without considerable automation. However, it is difficult to develop software with conventional fixed algorithms (hard-wired logic on decision making level) for effectively manipulate dynamically evolving real time transportation environment. This situation can be resolved by applying methods of artificial intelligence and data mining that provide flexibility and learning capability. This paper presents a brief introduction of data mining and artificial intelligence (AI) applications in Intelligence Transportation System (ITS), analyzing the prospects of enhancing the capabilities by means of knowledge discovery and accumulating intelligence to support in decision making.

• 한국컴퓨터정보학회논문지
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• 제24권4호
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• pp.99-105
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• 2019

Recently, many people enjoy movies and music content through their smart devices for using public transportation like as bus or subway. However, because their concentration is aimed at content on their smart devices, passengers sometimes forget to disembark and miss their destination stations. Therefore, in this paper, we propose a destination notification system for disembarking public transport using high frequencies based on the smart devices. We tested 1,000 times real-time destination notification to performance evaluate of the proposed application and service system. According to the test results, the proposed system showed 99.4% and 99.6% accuracy and we confirmed that it could be very useful. As such, the proposed system could be a useful technology for notifying smart device users when to get off public transport, capable of global commercialization.

• 교통기술과정책
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• 제12권1호
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• pp.73-82
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• 2015

• 교통기술과정책
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• 제11권2호
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• pp.39-48
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• 2014

• 교통기술과정책
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• 제9권6호
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• pp.26-35
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• 2012

• 교통기술과정책
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• 제13권6호
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• pp.16-24
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• 2016

• 대한교통학회지
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• 제12권1호
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• pp.75-84
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• 1994

In this paper we address the issue of how an optimal sample size computation relates the level of precision required for travel demand estimations and transportation planning. We approach the problem by 1) deriving a theoretical solution, 2) developing a computational procedure (algorithm) to implement the theoretical solution, and 3) demonstrating a practical application. Ultimately, we construct a formal scheme of optimal sample size computation for use in travel data collection processe.

• 전기학회논문지
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• 제60권11호
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• pp.2056-2063
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• 2011

A time based software simulator for the PRT system operation is presented. The purpose of the simulator is to estimate the passenger transportation performance of the PRT system. In this paper, it is presented how the system is modeled in the simulator to estimate passenger transportation performance and the running algorithm of the modeled subsystem. An application sample is also presented to find the system's design parameter to satisfy the transportation needs.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2019년도 전력전자학술대회
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• pp.317-319
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• 2019

In this paper, a three level duty cycle controlled half bridge LLC converter for EV charger application is presented. The topology and operating regions of the converter are discussed. The equations of the converter are derived in time domain. A small signal model of the converter is developed by perturbation and linearization of the steady state model about their operating point using Extended Describing function.