• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.2
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• pp.14-23
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• 2015

This study was intended to evaluate the feasibility of the vehicle detector using a coil sensor. For the evaluation, the research team built a test environment for the detector consisting of a oscillation circuit, data collecting circuit, data monitoring and saving circuit, etc. As the result of the frequency analysis of the detector from the test environment, it was verified for the detector using a coil sensor to generate stable frequencies. In addition, the ease of construction and management was tested by comparing the size of cutting areas, consumption of installation materials, and installation time for a traditional loop detector and the detector using a coil sensor. As a result, the installation of the detector using a coil sensor requires less size of cutting areas, consumption of installation materials, and installation time.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.1-16
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• 2023

Accurate traffic information prediction is considered to be one of the most important aspects of intelligent transport systems(ITS), as it can be used to guide users of transportation facilities to avoid congested routes. Various deep learning models have been developed for accurate traffic prediction. Recently, ensemble techniques have been utilized to combine the strengths and weaknesses of various models in various ways to improve prediction accuracy and stability. Therefore, in this study, we developed and evaluated a traffic information prediction model using various deep learning models, and evaluated the performance of the developed deep learning models as a stacking ensemble. The individual models showed error rates within 10% for traffic volume prediction and 3% for speed prediction. The ensemble model showed higher accuracy compared to other models when no cross-validation was performed, and when cross-validation was performed, it showed a uniform error rate in long-term forecasting.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2380-2386
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• 2017

Fresh agricultural product in Korea are currently being exported overseas through expensive air transportation, supported by the governments's farm export subsidies. However all members of the World Trade Organization(WTO) must halt government subsidies by 2023. Accordingly, it is necessary to use marine transport capable of carrying freight at low cost. Reefer containers are used for marine transportation of fresh produce but it have a problem due to the temperature difference inside the reefer container which causes of fresh cargo and drop in freshness during sea transportation. In order to solve the problem, we developed a temperature control algorithm for reefer container that maintain a constant temperature and minimizes the deviation inside reefer container. The result showed that the maintained a constant temperature within a maximum of $0.5^{\circ}C$ based on the set-point of $4.0^{\circ}C$ inside reefer container.

• Journal of the Institute of Convergence Signal Processing
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• v.17 no.1
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• pp.32-39
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• 2016

Intelligent Transport Systems (Intelligent Transportation System: ITS) is a system for inducing a flow of ideal car for using the most advanced technology, it is determined the status of the road, and take appropriate action. In order to be measured at various time points, and is managed, the information about the traffic situation is used image using a computer mainly. The image processing using a computer, it is an easy way to collect parameters of the various traffic in real time, technology has developed more and more. Vehicle detection of transport parameters of intelligent transportation system is a very important technology basically. Therefore, technology detection method using car background images and the contour line extraction method using an edge is used, however, problems have been raised on the accuracy of the detection rate.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.4
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• pp.13-27
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• 2021

In this study, the impact of traffic flow on the market penetration rate of autonomous vehicles(AV) was analyzed using the data for the year 2020 of the Yongin IC~Yangji IC section of Yeongdong Expressway. For this analysis, a microscopic traffic simulation model VISSIM was utilized. To construct the longitudinal control of the AV, the Intelligent Driver Model(IDM) was built and applied, and the driving behavior was verified by comparison with a normal vehicle. An examination of the study results of mobility and safety according to the market penetration rate of the AV, showed that the network's mobility improves as the market penetration rate increases. However, from the point of view of safety, the network becomes unstable when normal vehicles and AVs are mixed, so there should be a focus on traffic management for ensuring safety in mixed traffic situations.

• Journal of the Korea Computer Industry Society
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• v.5 no.3
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• pp.337-344
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• 2004

ITS(Intelligent transportation system) provides users with realtime traffic information based on technologies such as advanced information ＆ telecommunication, electronic control and transportation engineering. To operate efficient ITS, it is necessary to quickly identify and take actions for incidents(accidents, broken vehicles, public functions, traffic control, etc.). However, there have been few reliable incident detection algorithms developed so far. The algorithm presented in this study greatly resolved the problems in the existing incident detection algorithms, which determine incidents according to the input of constant values, by defining ranges based on the concept of pseudo level of service. With this improvement, operators can determine the incident detection parameters more accurately.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.4
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• pp.285-289
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• 2012

In a coastal area, all of the vessels are always exposed to the potential risk, taking into the maritime accident statistics account over the last decades. To manage vessels underway safety, the characteristics of ship movements in a fairway should be recognized by VTS system or VTS operators. The IMO has already mandated the shipboard carriage of AIS since 2004, as stated in SOLAS Chapter V Regulation 19. As a result, the static and dynamic information of AIS data has been collected for vessel traffic management in the coastal areas and used for VTS. This research proposes a simple algorithm of recognizing potentially risky ships by observing their trajectories on the fairway. The static and dynamic information of AIS data are collected and the curvature for the ship trajectory is surveyed. The proposed algorithm finds out the irregularity of ship movement. The algorithm effectively monitors the change of navigation pattern from the curvature analysis of ship trajectory. Our method improves VTS functions in an intelligent way by analyzing the navigation pattern of vessels underway.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.61-72
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• 2013

Next-generation ITS(Intelligent Transportation System) adopts WAVE(Wireless Access in Vehicular Environment) system which is capable of the bidirectional communication system in vehicular environments. u-Transportation system adopted WAVE communications system to show the optimal performance in terms of various services with regard to vehicle safety and traffic. In this paper, we introduce testbed of ubiquitous-Transportation system and its service. Then, we describe WAVE system for supporting next-generation ITS service. Also, we carried out tests in real road environments in order to verify communication functions of WAVE systems and its performance. We confirmed that our communication systems for supporting services meet the communication performance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.5
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• pp.147-158
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• 2008

Recently, Intelligent Transportation System (ITS) has been actively developed and built since the Transportation System Efficiency Promotion Act was enacted. However, since mutual connection among transportation information systems was not considered, the integration of transportation information services did not occur. Accordingly, the Ministry of Land Transport and Maritime Affairs established and announced the technical standard on ITS. In this study, the conformance testing of the transportation information and communication system interface standard on data exchange between the Transportation Information Center and terminals was researched The test items were categorized as data request tests and data providing tests by analyzing the communication procedures specified in the standard. A detail testing scenario was created for each item. The test assessment was established based on the conformance of data exchange procedures and the accuracy of data packet messages. Under the established technical standard, the number of times that tests should be performed was thought set to 30 and the success rate was set to 95%. The purpose of this study is to help the ITS of Korea perform the integrated management of transportation information by researching methods for conformance testing on the technical standard on ITS.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.4 no.2 s.7
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• pp.45-52
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• 2005

Sketch-Planning based ITS Deployment Analysis System is an analysis tool for determining the impacts, benefits, and costs of various intelligent transportation system (ITS) deployments. This methodology offers one tool that systematically assesses ITS scenarios to facilitate the integration of such scenarios into the ongoing transportation planning process. Sketch-planting based methodology can estimate relative impacts, benefits, and costs for more than 60 types of ITS investments deployed in isolation or in any combination defined by the user.