• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3512-3528
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• 2016

A network with high mobility nodes or vehicles is vehicular ad hoc Network (VANET). For improvement in communication efficiency of VANET, many techniques have been proposed; one of these techniques is vehicular node clustering. Cluster nodes (CNs) and Cluster Heads (CHs) are elected or selected in the process of clustering. The longer the lifetime of clusters and the lesser the number of CHs attributes to efficient networking in VANETs. In this paper, a novel Clustering algorithm is proposed based on Ant Colony Optimization (ACO) for VANET named ACONET. This algorithm forms optimized clusters to offer robust communication for VANETs. For optimized clustering, parameters of transmission range, direction, speed of the nodes and load balance factor (LBF) are considered. The ACONET is compared empirically with state of the art methods, including Multi-Objective Particle Swarm Optimization (MOPSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) based clustering techniques. An extensive set of experiments is performed by varying the grid size of the network, the transmission range of nodes, and total number of nodes in network to evaluate the effectiveness of the algorithms in comparison. The results indicate that the ACONET has significantly outperformed the competitors.

• Journal of Advanced Navigation Technology
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• v.10 no.1
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• pp.7-12
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• 2006

In this paper, we investigated performance for 5.8GHz dedicated short range communication system using OFDM which will be applied to Intelligent transportation system services. The maximum speed of a vehicle in DSRC channel is very fast as 180km/h, so a service time is very short to serve a various traffic information if hand-off is not occurred. Therefore higher bit rate is required to proved advanced and intelligent service to the drivers of various vehicle and the data transmission rate of the next generation DSRC system if being promoted over 10Mbps. The signals received in Racian channel have been simulated using the computer simulator. For performance improvement, BCH coding scheme are adopted.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.15-18
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• 2013

본 논문에서는 교통상황을 실시간으로 반영하여 최적의 이동경로를 제공하는 적응형 내비게이션 시스템을 제안한다. 본 시스템은 세 가지 요소로 구성되어있다. 첫 번째로 도로교통망 중 한 구획의 도로상황정보를 수집하고 공유하는 Traffic Control Center (TCC). 두 번째로 개별적인 도로나 교차로에 설치되어 차량으로부터 도로상황정보를 수집하는 Road Side Unit(RSU). 마지막으로 차량들 간의 망 형성을 위해서 사용되는 Dedicated Short Range Communications(DSRC)를 기반으로 차량에 설치된 단말기가 있다. DSRC를 기반으로 RSU와의 통신하는 단말기는 실시간 도로교통정보를 기반으로 운전자에게 최적의 경로를 제공한다. 이동속도와 같은 교통정보는 단말기에서 측정되고, RSU로 전송된다. RSU는 이 정보를 처리하여 해당 도로의 도로상황지수를 생성하고, 주기적으로 TCC에 전송한다. TCC는 RSU로부터 도로상황지수를 통합하여 TCC의 관할 구획의 모든 차량에 대해 도로교통정보를 만든다. 마지막으로 단말기는 효율적인 경로안내를 위해 최적의 경로를 도출하여 운전자에게 제공한다. 따라서 단말기, RSU, TCC간의 상호작용을 통해 AINS는 동적인 교통상황(정체, 교통사고 등)을 기반으로 새로운 형태의 적응형 지능 내비게이션을 제공할 수 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.15-27
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• 2013

While the vehicle detector is collected from a variety of information was mainly used as a real-time data. Recently scheme of application for archived traffic data has become increasingly important. In this background, this research were conducted on the improvement of the preprocessing for archived traffic data application. The purpose of improving specific preprocessing was reflect transportation phenomena by traffic data. As evaluation result, improvement preprocessing was close to the actual value than exist preprocessing.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.29-37
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• 2017

Intersection signal's phase time is calculated and determined by car and pedestrian traffic volume. If signal phase time and traffic volume dis-matched, cars and pedestrians have much delay time. This paper suggested an All-Red phase application method that cars and pedestrians securing safety and minimizing traffic signal waiting time. The key solution of this suggested method is determining All-Red phase operation by using sum of spare green time that have no passing cars. That is, total time of spare green time that have no passing cars is longer than All-Red phase time, operating All-Red phase has an effect. And case study carried out at the signalized intersection, revealed that this suggested method has much effectiveness.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.677-679
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• 1999

This paper introduces a implementation of fault detection for national highway line 3. Fault detection system was installed and operated on national highway line 3, environmental elements caused by abnormal status or faults has often happened. Therefore, the function of fault detection system is to speedy notify fault site, cause as well as scale of fault to manager. Though the fault detection and diagnosis system has been imported in the field of process of water and electric power, it is just beginning step in the field of ITS(Intelligent Transportation Systems). In general, Maintenance system is performed the online/offline process of detection, diagnosis and measure. This paper is studied online detection process, which is realtime remote detection.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.63-71
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• 2013

WAVE(Wireless Access for Vehicular Environment) System is a communication technology to monitor system failure and vehicle functions and management services to prevent possible incidents of driving a vehicle. In this paper, we have designed and implemented the mutual message processing through parameter between WME management module that manages WAVE system and MLME that manages the upper layer MAC(Media Access Control) module. Also, in order to verify the validity, we have carried out experiments to compare the speed of data processing by dividing data of 1Mbyte, 2Mbyte, 3Mbyte into the packets of 2KByte and 4KByte. Experiments data processing speed of 2KByte packet were shown about 173.62ms in 1MByte, 2MByte about 352.61ms, 3MByte about 550.13ms and, data processing speed of 4KByte packet, 1MByte approximately 87.56ms, 2MByte about 177.94ms, 3MByte about 277.18ms. Therefore, in WAVE system, the mutual messages processing through the parameters between WME and MLME module can be utilized in the various service of ITS(Intelligent Transportation Systems) depending on the speed of data processing.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.2
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• pp.108-113
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• 2016

The real-world problems usually show nonlinear and multi-variate characteristics, so it is difficult to establish concrete mathematical models for them. Thus, it is common to practice data-driven modeling techniques in these cases. Among them, most widely adopted techniques are regression model and intelligent model such as neural networks. Regression model has drawback showing lower performance when much non-linearity exists between input and output data. Intelligent model has been shown its superiority to the linear model due to ability capable of effectively estimate desired output in cases of both linear and nonlinear problem. This paper proposes modeling method of daily photovoltaic power systems using ELM(Extreme Learning Machine) based modular networks. The proposed method uses sub-model by fuzzy clustering rather than using a single model. Each sub-model is implemented by ELM. To show the effectiveness of the proposed method, we performed various experiments by dataset acquired during 2014 in real-plant.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.34-41
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• 2009

Recently, information-Ievel of the people has been increased with growing IT cutting-edge technology. There is a trend to combine these achievements with information-technology, ubiquitous technology, and mobile technology in the field of transportation. Along with this trend, a PDA-based traffic accident investigation device was developed. This paper established the evaluation method of feasibility test on the PDA device, and performed qualitative and quantitative evaluation as compared with the current practice (manual investigation). Test results showed that traffic accident investigation using the PDA device was faster and more convenient than manual investigation. It is expected that the reliability of accident investigation will be improved by applying this tool with minor modifications.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.122-131
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• 2017

This study was a drone-utilized case study motivated by that drones can obtain sophisticated video image data previously not feasible. The dilemma zones on selected intersection approaches were identified and locations of drivers' decision making to stop or go at the onset of yellow were determined by analyzing drone video images. The gap between the drivers' decision making location and invisible stop/go border line provided by the yellow time interval was defined as "risky passing zone". To improve the dilemma zone safety problems, re-optimization of yellow time intervals and introduction of new pavement marking that can help drivers decision making on yellow indication are suggested.