• Title/Summary/Keyword: Traffic Rate Analysis

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Development of Car Accidents Person Fatality Model using Data Mining (데이터 마이닝을 이용한 차량 사고자 사망확률 모형)

  • Kim Cheon-Shik;Hong You-Shik;Jung Myung-Hee
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.25-31
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    • 2006
  • In this paper, a fatality model of car accident using data mining is proposed with the goal of reducing fatality of traffic accident. The analysis results with a proposed fatality model are utilized to improve a technology and environment for driving. For this, traffic accident data are collected, a data mining algorithm is applied to this data, and then, a fatality model of car accident is developed based on the analysis. The training data as well as test data are utilized to develop the fatality model. The important factors to cause fatality in traffic accidents can be investigated using the model. If these factors are taken into account in traffic policies and driving environment, it is expected that the fatality rate of traffic accident can be reduced hereafter.

An Improved Detecting Scheme of Malicious Codes using HTTP Outbound Traffic (HTTP Outbound Traffic을 이용한 개선된 악성코드 탐지 기법)

  • Choi, Byung-Ha;Cho, Kyung-San
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.9
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    • pp.47-54
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    • 2009
  • Malicious codes, which are spread through WWW are now evolved with various hacking technologies However, detecting technologies for them are seemingly not able to keep up with the improvement of hacking and newly generated malicious codes. In this paper, we define the requirements of detecting systems based on the analysis of malicious codes and their spreading characteristics, and propose an improved detection scheme which monitors HTTP Outbound traffic and detects spreading malicious codes in real time. Our proposed scheme sets up signatures in IDS with confirmed HTML tags and Java scripts which spread malicious codes. Through the verification analysis under the real-attacked environment, we show that our scheme is superior to the existing schemes in satisfying the defined requirements and has a higher detection rate for malicious codes.

A Study of ATM Switch Performance Analysis in Consideration of Cell Processing Due Time and Priority (셀 처리 요구 시간 및 우선 순위를 고려한 ATM 스위치의 성능 분석에 관한 연구)

  • 양우석;이재호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12A
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    • pp.1910-1916
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    • 1999
  • This paper suggested to solve ATM switch performance and service rate which was input buffer managed scheme in ATM network with burst traffic characteristics, For this purpose, ATM multiplexer is prepared before sending for handling burst random input traffic to multiplex and then sort based on cell inter-arrival time and cell processing due time which had been marked after that. The server looks for cell header with the most shortest due time and sends it, thus it is satisfied that real time traffic for instance CBR and rt-VBR was guaranteed cell processing time to send fast than non real time traffic. For analysis of ATM switch performance with cell processing due time and priority, each output port has divided into four different virtual buffer and each buffer has assigned different cell inter-arrival time and processing due time according to ATM Forum for example CBT/rt-VBR, nrt-VBR, ABR and UBR and showed it’s optimal service parameters then analyzed service rate behaviors according to each traffic characteristics.

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Traffic Collision Detection at Intersections based on Motion Vector and Staying Period of Vehicles (차량의 움직임 벡터와 체류시간 기반의 교차로 추돌 검출)

  • Shin, Youn-Chul;Park, Joo-Heon;Lee, Myeong-Jin
    • Journal of Advanced Navigation Technology
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    • v.17 no.1
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    • pp.90-97
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    • 2013
  • Recently, intelligent transportation system based on image processing has been developed. In this paper, we propose a collision detection algorithm based on the analysis of motion vectors and the staying periods of vehicles in intersections. Objects in the region of interest are extracted from the subtraction image between background images based on Gaussian mixture model and input images. Collisions and traffic jams are detected by analysing measured motion vectors of vehicles and their staying periods in intersections. Experiments are performed on video sequences actually recoded at intersections. Correct detection rate and false alarm rate are 85.7% and 7.7%, respectively.

Analysis of EFCI and ER Switches Algorithm for ABR Traffic, Using Self-similar pattern and Poisson pattern (Self-similar 패턴과 Poisson 패턴을 사용한 EFCI와 ER 스위치 알고리즘의 ABR 트래픽 분석)

  • 이동철;박기식;김탁근;손준영;김동일;최삼길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.05a
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    • pp.296-300
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    • 2000
  • In previous papers, it proved relevant to using together with EFCI and ER switch for effective ABR traffic managements. It also applied to EFCI and ER switch algorithm, that consider ABR traffic as poisson pattern. However, in recently network environment, it has been proved about traffic pattern, that is similar to self-similar pattern than poisson pattern. In this paper, we will compare previous poisson pattern with self-similar pattern under ATM network.

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A Study on Fuzzy Control Algorithm for Prediction of Server service rate in ATM networks (ATM망에서 서버의 서비스율 예측을 위한 퍼지 제어 알고리즘에 관한 연구)

  • 정동성;이용학
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.10B
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    • pp.854-861
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    • 2003
  • In this paper, we proposed the fuzzy control algorithm for efficient buffer control about traffic that is connected in ATM networks. The proposed Fuzzy control algorithm has total traffic arrival ratio, buffer occupancy ratio and Fuzzy set to search for dynamic service rates in server. That is, is based on Fuzzy logic according to the arrival ratio of total traffic and buffer occupancy ratio that is happened and reasoning. Then, made reasoning result control service rates in server about traffic that is connected with defuzzification value. Performance analysis result: it was confirmed that with the proposed scheme, performance improves at cell loss rate, when compared with the existing PBS scheme.

The Effect of Traffic Conditions on Office Rent (The Case of CBD, Kangnam and Yoido) (지역교통여건이 오피스 임대료에 미치는 영향 (도심, 강남, 여의도 지역을 중심으로))

  • Jung, Chang-Mu;Kim, Si-Baek
    • Journal of Korean Society of Transportation
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    • v.26 no.6
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    • pp.29-38
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    • 2008
  • In Seoul, the volume of office market has been expanding rapidly and the currency will be maintained. Many researches have looked at determinants of the office rent, we still cannot have adequate and accurate information of the impacts of traffic congestions around office buildings on the office rents. To gauge the effect of traffic conditions surrounding an office building on the office rent, a hedonic price model was estimated. The regression analysis estimates the values or implicit prices of the individual rent determinants; these parameters in turn allow for a detailed examination of the variables that impact office rents. The result shows that traffic conditions of office buildings play an important role in determining the office rental rate. Since a number of adjacent streets provided excellent opportunities to connect with the neighborhood, it pulls up the rental rate. Similarly, traffic congestions depreciates the value of an office buildings restricting the accessibility to the office building. We also provide evidence of the existence of spatial submarkets and find that market takes different spatial forms depending on the local context.

A Study on the Optimum-Path for Traffic of Road Using GIS (GIS를 이용한 도로교통(道路交通)의 최적경로(最適經路) 선정(選定)에 관한 연구)

  • Oh, Myoung-Jin
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.131-144
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    • 1997
  • Traffic jam densified day by day is phenomenon to occur lack of the road capacity in comparison with traffic density, but lack of the road cannot be concluded by main cause of traffic ism. Because the central function of a city would be concentrated upon the downtown and traffic demand would not be evenly distributed by the classification of an hour. Therefore, this study based on the fact that each driver will select the route generating traffic delay very low when path choice from origin to destination in travel plan estimating the quality of passage could be maintained the speed he want will approach to a characteristic grasp of a road, traffic, driver changing every moment by traffic-demand of road increased as a geometrical series with analysis a classification of a street, a intersection along the path on traffic density and highway capacity analysis the path using GIS techniques about complex street network, also will get the path of actual optimum for traffic delay trend creating under various condition the classification per a hour, a day of week and an incident through network such as analysis for traffic generation zone adjacent about street, intersection, afterward will expect the result increasing efficiency of the road-use through a good distribution of traffic by optimum-path choice, accordingly will prepare the scientific, objective, appropriate basis to decide the reasonable time of a road-widen and expansion through section analysis along a rate of traffic volume vs. road capacity.

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An Application of Sampling to Determine a Proper Rate of Probe Vehicles for Macroscopic Traffic Flow Monitoring Indices (거시교통류 모니터링 지표산출을 위한 적정 프로브차량 비율 결정에 관한 연구)

  • Shim, Jung-Suk;Heo, Hyun-Moo;Eom, Ki-Jong;Lee, Chung-Won;Ahn, Su-Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.2
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    • pp.33-40
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    • 2010
  • In this paper, we consider three macroscopic traffic flow monitoring indices, Travel Time Index(TTI), Acceleration Noise(AN) and Two Fluid(TF) and investigate how to determine a proper rate of probe cars for producing reliable values of these indices. For the analysis, we use classical sampling theories and provide numbers of probe rates using simulation data.

Detour Behavior on the Expressway using Route Travel Data (경로형 통행데이터 기반 고속도로 우회행태 분석)

  • Lee, Sujin;Son, Sanghoon;Kim, Hyungjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.1
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    • pp.58-70
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    • 2020
  • Detour behavior on the expressway means that the driver uses the local road by passing the part of the expressway which is stagnant at the time of the traffic demand such as holidays. Since the detour rate was estimated through the survey at toll gate in the past, there was a difficulty in estimating the actual detour rate due to the small sample of the survey. In this study, we use DSRC-based route travel data to conduct empirical studies on detour patterns such as the estimation of actual detour rate, the improvement of travel time using detour road, and the correlation between traffic conditions on the expressway and detour rate. On the day of Chuseok and the day before Chuseok, the analysis of Giheung-DongtanIC→OsanIC and Seopyeongtaek IC→Walgott JC showed that the use of detour roads increased gradually during the congestion of the main line and travel time reduced when using detour roads, However, when the traffic congestion of the main line is not severe, the travel time increases when using the detour roads. The correlation between the traffic condition of the expressway and the actual detour rate has a negative correlation, which is consistent with the congestion pattern of the main line. The results of this study can be used to overcome limitations of detour pattern research based on surveys in the past and to establish a detour strategy for expressway sections where traffic demand is concentrated.