• Title/Summary/Keyword: Traffic monitoring and analysis

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The Effect of Traffic Volume on the Air Quality at Monitoring Sites in Gwangju (광주광역시 대기오염측정소 주변 교통량이 대기질에 미치는 영향)

  • Lee, Dae-Haeng;An, Sang-Su;Song, Hyeong-Myeong;Park, Ok-Hyun;Park, Kang-Soo;Seo, Gwang-Yeob;Cho, Young-Gwan;Kim, Eun-Sun
    • Journal of Environmental Health Sciences
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    • v.40 no.3
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    • pp.204-214
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    • 2014
  • Objectives: Vehicular emissions are one of the main sources of air pollution in urban areas. Correlation analysis was conducted between air pollutants and traffic volume in order to identify causes of air pollution in Gwangju. Methods: Using traffic volumes and air quality monitoring data from 2002 to 2012 from nine stations (seven urban areas, two roadside areas), especially at three sites where traffic volumes were high, the correlation coefficients were obtained between air pollutants as PM-10 (particulate matter), $NO_2$, $SO_2$, CO and $O_3$ at the stations and traffic volumes near the air monitoring stations. Results: Due to traffic volume and distance between the station and the traffic road, concentrations of pollutants at roadside areas were higher than at urban areas, with the exception of $O_3$. The concentration of $O_3$ showed statistically significance with those of other gas materials as $NO_2$, $SO_2$, and CO in winter (p<0.001) and spring (p<0.05). During the period of October 7 to 20, 2012, excluding periods of yellow dust, smog and rainy season, the ratio of $NO/(NO+NO_2)$ showed the highest value 0.57 and 0.40 at Unam and Chipyeong of two roadside stations, followed by 0.35 at Nongseong with vehicular effects. The correlation coefficient between traffic volume and $O_3$, CO, $NO_2$ became higher when the data on mist and haze days were excluded, than when all hourly data were used in that period, at the three sites of Unam, Chipyeong, and Nongseong. Conclusions: Air quality showed a considerable effect from vehicles at roadside areas compared to in urban areas. Air pollutant diminishment strategies need to be aggressively adopted in order to protect atmospheric environment.

Flow-based Real-time Traffic Monitoring and Analysis System (Flow 기반 실시간 트래픽 수집 및 분석 시스템)

  • Park, Sang-Hoon;Park, Jin-Wan;Kim, Myung-Sup
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.11a
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    • pp.1061-1064
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    • 2007
  • 네트워크의 효율적인 관리를 위해서는 네트워크의 각 호스트에서 발생하는 트래픽을 실시간으로 모니터링 할 수 있는 시스템이 필요하다. 이러한 모니터링의 효율적인 방법 중 하나가 네트워크 장비에서 제공하는 flow 정보를 이용하는 방법이다. 하지만 이는 네트워크 장비의 과부하 발생, 운용비용 상승, 유연성 및 확장성 부족의 단점을 가진다. 이를 극복하기위하여 본 논문에서는 Enterprise 네트워크에 적합한 Flow 기반 실시간 트래픽 모니터링 시스템의 구조를 제안하고, 검증을 위해 구현한 내용을 기술한다. 본 시스템은 패킷을 수집하여 실시간으로 flow 정보를 생성하고 저장하는 Flow Generator 시스템, 저장된 flow 정보를 Analysis 시스템으로 전송하는 Flow Exporter 시스템, Traffic Analysis 시스템, 그리고 분석된 내용을 보여주는 Traffic Reporter 시스템으로 구성된다. 본 시스템은 다양한 분석 목적에 맞게 Flow 정보를 조절할 수 있는 유연성과 다양한 분석시스템을 구축할 수 있는 확장성을 가진다. 본 논문에서 기술한 시스템은 학교 Campus 네트워크를 대상으로 구축되었다.

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Performance Improvement of a Real-time Traffic Identification System on a Multi-core CPU Environment (멀티 코어 환경에서 실시간 트래픽 분석 시스템 처리속도 향상)

  • Yoon, Sung-Ho;Park, Jun-Sang;Kim, Myung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.5B
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    • pp.348-356
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    • 2012
  • The application traffic analysis is getting more and more challenging due to the huge amount of traffic from high-speed network link and variety of applications running on wired and wireless Internet devices. Multi-level combination of various analysis methods is desired to achieve high completeness and accuracy of analysis results for a real-time analysis system, while requires much of processing burden on the contrary. This paper proposes a novel architecture for a real-time traffic analysis system which improves the processing performance on multi-core CPU environment. The main contribution of the proposed architecture is an efficient parallel processing mechanism with multiple threads of various analysis methods. The feasibility of the proposed architecture was proved by implementing and deploying it on our campus network.

A Network Performance Analysis System based on Network Monitoring for Analyzing Abnormal Traffic (비정상 트래픽 분석을 위한 네트워크 모니터링 기반의 네트워크 성능 분석 시스템)

  • Kim, So-Hung;Koo, Ja-Hwan;Kim, Sung Hae;Choi, Jang-Won;An, Sung-Jin
    • Convergence Security Journal
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    • v.4 no.3
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    • pp.1-8
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    • 2004
  • Large distributed systems such as computational and data grids require that a substantial amount of monitoring data be collected for various tasks such as fault detection, performance analysis, performance tuning, performance prediction, security analysis and scheduling. to cope with this problem, they are needed network monitoring architecture which can collect various network characteristic and analyze network security state. In this paper, we suggest network performance and security analysis system based on network monitoring. The System suggest that users can see distance network state with tuning network parameters.

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A Study on Performance Analysis and Improvement Plan of Campus Network (상명대학교 통신망의 성능분석 및 개선방안에 관한 연구)

  • 이한권;이승혁;이성호;서원흥;이은혜;조태경
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.4
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    • pp.340-344
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    • 2004
  • In this paper, We collected the data of communication network construction in Sangmyeong University and analyzed them. Moreover using the analysis instrument of communication network traffic, We tested a process of it, and an efficiency of each equipment. We proved the traffic flow and the load quantity during the register for class. As a result We suggested a efficient communication network design - add and change some equipments in order to break up the traffic.

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Traffic Analysis of a Power Infrastructure Defense System Simulator According to Network Routing (네트워크 연결 경로에 따른 광역방어 시스템 시뮬레이터의 트래픽 분석)

  • Kim, Ki-Ho;Yi, Keon-Young
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.431-432
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    • 2007
  • It is necessary for the stabilized operation of the power system even if a severe condition in system operation takes place. There is the need to develop the intelligent Power grid Monitoring System. In this system, the PMU(Phasor Measurement Unit) measures the synchrophasor and transmits it to the PIDS(Power Infrastructure Defense System). The IEEE PC37.118 protocol defines the message format to implement the communication both the PMU and the PIDS. In this paper, We measure and analyze the network traffic from simulated the PMU to simulated the PIDS according to network routing. And, We present the finest network routing in developing the intelligent Power grid Monitoring System.

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Implementation of Network Traffic and QoS Monitoring System based on User Agent (사용자 에이전트 기반의 네트워크 트래픽 및 QoS 모니터링 시스템 구현)

  • Lee, Do-Hyeon;Jung, Jae-Il
    • Convergence Security Journal
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    • v.8 no.2
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    • pp.41-50
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    • 2008
  • Recently amount of traffic into the network rapidly increase since multimedia streaming services is generally adopted for application. In addition, various network management systems have been suggested for providing a stable service and QoS guarantee. It is necessary for such systems to have QoS monitoring module in order to evaluate acceptance or violation of QoS requirements by analogizing a state information of each node within network. In this paper, we suggest a network management system to evaluate QoS level between end-to-end agents and analysis traffics transmitted between them. The proposed system is implemented for the purpose of collecting network traffic information and monitoring of the view. The proposed system makes user easily understand information of QoS parameters such as throughput, delay and jitter by adopting a method of visual and numerical representation. To achieve this, we purportedly generate test packet into network for confirming acceptance or violation of QoS requirements from point of view of multimedia application service.

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Robust Traffic Monitoring System by Spatio-Temporal Image Analysis (시공간 영상 분석에 의한 강건한 교통 모니터링 시스템)

  • 이대호;박영태
    • Journal of KIISE:Software and Applications
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    • v.31 no.11
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    • pp.1534-1542
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    • 2004
  • A novel vision-based scheme of extracting real-time traffic information parameters is presented. The method is based on a region classification followed by a spatio-temporal image analysis. The detection region images for each traffic lane are classified into one of the three categories: the road, the vehicle, and the shadow, using statistical and structural features. Misclassification in a frame is corrected by using temporally correlated features of vehicles in the spatio-temporal image. Since only local images of detection regions are processed, the real-time operation of more than 30 frames per second is realized without using dedicated parallel processors, while ensuring detection performance robust to the variation of weather conditions, shadows, and traffic load.

A Marking Algorithm for QoS Provisioning in WMSN (WMSN에서 QoS 보장을 위한 마킹 알고리즘)

  • Kim, Jeonghue;Lee, Sungkeun;Koh, Jingwang;Jung, Changryul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.2
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    • pp.193-204
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    • 2010
  • Since Wireless Multimedia Sensor Network(WMSN) needs to process various multimedia data such as audio, image and video data as well as scalar data, it requires a mechanism that can support Quality of Service(QoS) to handle efficiently. This paper classifies traffic in WMSN as periodic monitoring traffic, event traffic, multimedia traffic and query-based traffic, proposes marking algorithm and queue management mechanism that guarantee differentiated QoS in terms of delay, energy efficiency and credibility on each traffic and conduct performance analysis with simulation.

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.