• Journal of Intelligence and Information Systems
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• v.6 no.1
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• pp.113-128
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• 2000

This paper presents a first year report of an ongoing multi-year project to develop a systolic parallel simulation system for dynamic traffic assignment. The fundamental approach to the simulation is systolic parallel processing based on autonomous agent modeling. Agents continuously act on their own initiatives and access to database to get the status of the simulation world. Various agents are defined in order to populate the simulation world. In particular existing modls and algorithm were incorporated in designing the behavior of relevant agents such as car-following model headway distribution Frank-Wolf algorithm and so on. Simulation is based on predetermined routes between centroids that are computed off-line by a conventional optimal path-finding algorithm. Iterating the cycles of optimization-then-simulation the proposed system will provide a realistic and valuable traffic assignment. Gangnum-Gu district in Seoul is selected for the target are for the modeling. It is expected that realtime traffic assignment services can be provided on the internet within 3 years.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.100-108
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• 2016

In this paper, We propose a method which prevents severe traffic jam by controlling traffic signal by itself based on image-processed information and fuzzy logic. The detailed idea of this method is first to let a closed monitoring camera gather the number of cars which show the flow of traffic the designated roads which are commonly considered to have traffic. After executing the image processing method on each image gathered from the monitoring camera, this system determines the changing timing of traffic signal based on fuzzy logic. Also, this image processing method shows good performance in real road environment because the setup background image which used in this system is designed to be updated in real time. All of good points mentioned above would lead driver and users to cost efficient and time efficient results by preventing the increase of the number of traffic on road in advance with the automatic traffic signal controlling algorithm based on the fuzzy logic.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1031-1038
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• 2005

In this paper, the maximum traffic quantity and actual traffic quantify of the data which are needed to grasp the statement of a system will be measured more accurately. A concrete quality measurement will be conducted by analysing a change of traffic quantity according to a protocol change and traffic under an overload condition when there is an accident. As a result can make an opportunity to maximize safety of power SCADA. Furthermore, future traffic quantity can be prospected by knowing current traffic quantity and grasping the rate of increase by the analysis and the information can be used as data to secure the band width in advance. It can make stable operation of power SCADA by arranging the limited network resources efficiently by information analysis of a network and expects more confidence.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.707-708
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• 2009

In this paper, we provide a tradeoff solution to two conflicting requirements in VANET; Privacy and Aggregation. The information about traffic density is an important factor of aggregation in VANET. In our proposed scheme, densely located Road-Side Units (RSU) perform traffic density calculation and then aggregate the traffic information extracted from beacons received from the vehicles. RSUs then disseminate the aggregated traffic information to all the vehicles and neighbor RSUs. We use identityless beaconing thereby providing privacy and we do not consider the content security of beacons. We show that our scheme provides privacy in the case of aggregation, which has not been considered in previous schemes.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.737-740
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• 1999

This paper deals with a real time optimization algorithm within real time for DRGS(Dynamic Route Guidance System) and evaluate the algorithm. A pre-developed system offers the optimal route in using only static traffic information. In using real-time traffic information, Dynamic route guidance algorithm is needed. The serious problem in implementing it is processing time increase as nodes increase and then the real time processing is impossible. Thus, in this paper we propose the optimal route algorithm with window mechanism for the real-time processing and then evaluate the algorithms.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.871-877
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• 2005

The purpose of this paper is to identify the CPU temperatures on traffic processing between two servers system. To test this model, this research applies multi-generator and resource reservation protocol that produce various types of traffics. The empirical results indicate that $56^{\circ}C\mp9^{\circ}C$ of CPU temperature is suitable when 250-300 traffics with 10-15kb per a packet are supplied. And also, no jitter delay time is showed in these cases.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.465-466
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• 2009

This paper investigates congestion detection and control strategies for multi-path traffic (CDCM) diss emination in lifetime-constrained wireless sensor networks. CDCM jointly exploits packet arrival rate, succ essful packet delivery rate and current buffer status of a node to measure the congestion level. Our objec tive is to develop adaptive traffic rate update policies that can increase the reliability and the network lif etime. Our simulation results show that the proposed CDCM scheme provides with good performance.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.316-323
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• 1995

This paper presents an image processing technique to get traffic information such as vehicle volume, velocity, and occupancy for measuring the traffic congestion rate. To obtain these information, two horizontal lines are previously set on the screen. A moving vehicle is detected using the gray level difference on each line, and also template matching method at night. Threshold values are determined by sampling pavement grey level, and updated dynamically to cope with the change of ambient light conditions. These technique is successfully used to calculate vehicle volume, occupancy, and velocity. This study can be applied to traffic signal control system for minimizing traffic congestion in urban areas.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.5
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• pp.17-24
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• 1998

In this paper, we suggested and verified the effective traffic information transfer methods using the GPS (Global positioning system) and voice broadcasting. We suggested four traffic information selection methods with their testing algorithms. A traffic information transfer simulation system is developed for testing the recommended methods. In the result, we compared and analyzed efficiency of suggested methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.946-949
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• 2008

네트워크를 사용하는 응용프로그램의 종류가 다양해지면서 네트워크 트래픽의 응용별 분류는 효율적인 네트워크 관리에 있어 그 중요성이 커지고 있지만, 오늘날 응용프로그램의 특징인 유동적인 포트번호 사용 및 패킷의 암호화 등은 트래픽의 응용별 분류를 더욱 어렵게 하고 있다. Well-known 포트기반의 응용별 분류방법의 단점을 극복하기 위하여 머신러닝 알고리즘과 Signature 기반 분석 방법들이 연구되고는 있지만 주장하는 높은 분석률에 비하여 실제 네트워크 트래픽에 적용하기에는 신뢰성이 부족하다. 본 논문에서는 일부 종단 호스트에 설치된 TMA(Traffic Measurement Agent)로 부터 수집한 응용프로그램의 트래픽 사용 정보를 기초로 하여 전체 네트워크 트래픽의 응용프로그램을 판별하는 응용 트래픽 분류 방법론을 제안한다. 제안된 방법론은 트래픽 플로우들의 상관관계를 이용하여 TMA 호스트 트래픽으로부터 TMA가 설치되지 않은 호스트에서 발생한 트래픽들의 응용을 판단하며, 분류 된 결과에 대하여 높은 신뢰성을 보장한다. 제안된 방법론은 학내 네트워크에 적용하여 그 타당성을 검증하였다.