• Title/Summary/Keyword: traffic detection system

Search Result 532, Processing Time 0.023 seconds

A downlink beam synthesized method considering phase matching between common overhead channel and traffic channel in FDD/CDMA systems (FDD/CDMA 시스템에서 공통채널과 통화채널의 위상정합을 고려한 순방향 빔 합성 기법)

  • 이준성;이충용
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.41 no.11
    • /
    • pp.67-72
    • /
    • 2004
  • In this paper, we propose a downlink beamforming method which is considered common pilot channel for coherent detection and dedicated traffic channel for desired user in FDD/CDMA systems. The existing downlink beamforming system produces phase mismatch between traffic and pilot signals at desired mobile as well as interference to other mobiles. A new downlink beamforming method can solve above problem based on least squares method between reference function and beamforming function. A numerical analysis shows that the proposed downlink beamforming method matches well and gives low BER performance.

Web-Server Security Management system using the correlation analysis (상호연관성 분석을 이용한 웹서버 보안관리 시스템)

  • Kim Sung-Rak
    • Journal of the Korea Society of Computer and Information
    • /
    • v.9 no.4 s.32
    • /
    • pp.157-165
    • /
    • 2004
  • The paper suggests that web-server security management system will be able to detect the web service attack accurately and swiftly which is keeping on increasing at the moment and reduce the possibility of the false positive detection. This system gathers the results of many unit security modules at the real time and enhances the correctness of the detection through the correlation analysis procedure. The unit security module consists of Network based Intrusion Detection System module. File Integrity Check module. System Log Analysis module, and Web Log Analysis and there is the Correlation Analysis module that analyzes the correlations on the spot as a result of each unit security module processing. The suggested system provides the feasible framework of the range extension of correlation analysis and the addition of unit security module, as well as the correctness of the attack detection. In addition, the attack detection system module among the suggested systems has the faster detection time by means of restructuring Snort with multi thread base system. WSM will be improved through shortening the processing time of many unit security modules with heavy traffic.

  • PDF

A Study of Measuring Traffic Congestion for Urban Network using Average Link Travel Time based on DTG Big Data (DTG 빅데이터 기반의 링크 평균통행시간을 이용한 도심네트워크 혼잡분석 방안 연구)

  • Han, Yohee;Kim, Youngchan
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.16 no.5
    • /
    • pp.72-84
    • /
    • 2017
  • Together with the Big Data of the 4th Industrial Revolution, the traffic information system has been changed to an section detection system by the point detection system. With DTG(Digital Tachograph) data based on Global Navigation Satellite System, the properties of raw data and data according to processing step were examined. We identified the vehicle trajectory, the link travel time of individual vehicle, and the link average travel time which are generated according to the processing step. In this paper, we proposed a application method for traffic management as characteristics of processing data. We selected the historical data considering the data management status of the center and the availability at the present time. We proposed a method to generate the Travel Time Index with historical link average travel time which can be collected all the time with wide range. We propose a method to monitor the traffic congestion using the Travel Time Index, and analyze the case of intersections when the traffic operation method changed. At the same time, the current situation which makes it difficult to fully utilize DTG data are suggested as limitations.

A Study on the Establishment of Quality Control Standards for Accuracy Improvement of DSRC Traffic Information System (DSRC 교통정보 정확도 개선을 위한 품질관리 기준수립 연구)

  • Hwang, Taehyun;Won, Insu;Kwon, Jangwoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.19 no.1
    • /
    • pp.44-57
    • /
    • 2020
  • A dedicated short-range communications (DSRC) traffic information system is a detection system for a section of road using communication between roadside equipment and on-board High-Pass units to collect road traffic information and provide reliable traffic information to drivers. The Ministry of Land, Infrastructure, and Transport announced that a DSRC system must be supported to pass the performance evaluation of an intelligent transportation system (ITS), and the performance evaluation for DSRC systems installed in expressways and national highways is started. Currently, DSRC traffic information systems are only managed for maintenance and functional-monitoring purposes, which means that detailed criteria for the operation of a DSRC traffic information system, such as communication range, the direction of the antenna, and the power of the radio wave, etc., need to be established. In this paper, the criteria of the performance evaluation of a DSRC traffic information system are presented for different road types and road environments. The proposed performance evaluation criteria included the communication range and communication power of roadside equipment. In addition, installation criteria, such as the direction of the antenna, and the height and angle of the installed system, are presented for different road types and road environments. The criteria presented were evaluated for DSRC roadside equipment and documented to improve system maintenance and quality control of the communication system.

Prediction of Speed by Rain Intensity using Road Weather Information System and Vehicle Detection System data (도로기상정보시스템(RWIS)과 차량검지기(VDS) 자료를 이용한 강우수준별 통행속도예측)

  • Jeong, Eunbi;Oh, Cheol;Hong, Sungmin
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.12 no.4
    • /
    • pp.44-55
    • /
    • 2013
  • Intelligent transportation systems allow us to have valuable opportunities for collecting reliable wide-area coverage traffic and weather data. Significant efforts have been made in many countries to apply these data. This study identifies the critical points for classifying rain intensity by analyzing the relationship between rainfall and the amount of speed reduction. Then, traffic prediction performance by rain intensity level is evaluated using relative errors. The results show that critical points are 0.4mm/5min and 0.8mm/5min for classifying rain intensity (slight, moderate, and heavy rain). The best prediction performance is observable when previous five-block speed data is used as inputs under normal weather conditions. On the other hand, previous two or three-block speed data is used as inputs under rainy weather conditions. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

A Unknown Phishing Site Detection Method in the Interior Network Environment (내부 네트워크에서 알려지지 않은 피싱사이트 탐지방안)

  • Park, Jeonguk;Cho, Gihwan
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.25 no.2
    • /
    • pp.313-320
    • /
    • 2015
  • While various phishing attacks are getting to be increased in constant, their response methods still stay on the stage of responding after identifying an attack. To detect a phishing site ahead of an attack, a method has been suggested with utilizing the Referer header field of HTTP. However, it has a limitation to implement a traffic gathering system for each of prospective target hosts. This paper presents a unknown phishing site detection method in the Interior network environment. Whenever a user try to connect a phishing site, its traffic is pre-processed with considering of the characteristics of HTTP protocol and phishing site. The phishing site detection phase detects a suspicious site under phishing with analysing HTTP content. To validate the proposed method, some evaluations were conducted with 100 phishing URLs along with 100 normal URLs. The experimental results show that our method achieves higher phishing site detection rate than that of existing detection methods, as 66% detection rate for the phishing URLs, and 0% false negative rate for the normal URLs.

Diagnosis on Degree of Saturation Model of COSMOS Affected by Geometric and Detection Conditions and Detector Placements (교통조건, 기하구조 조건 및 검지기 설치위치에 따른 실시간신호제어시스템 포화도 산출방식 진단)

  • KIM, Jun-Young;KIM, Jin Tae
    • Journal of Korean Society of Transportation
    • /
    • v.34 no.1
    • /
    • pp.81-94
    • /
    • 2016
  • The Korean real-time traffic responsive control systems, Cycle Offset Split Model of Seoul (COSMOS), employs a single theoretical model to estimate the degree-of-saturation (DS) on approaches. However, the deployment of the system has been accomplished without practical consideration of its field performance. This paper delivers a diagnosis study performed to find the relationships yet known on the DS values against the operational conditions unproved in theory but ordinarily observed in field practice. Based on the analysis of the historical log data (476,505 cycles) obtained from the COSMOS server, it was found; (1) full coverage of lane detections should perform better than the sample coverage of detection in ordinary conditions, (2) the sample coverage of detection perform better than the other case with an exclusive bus lane, (3) detection in which a shared lane is involved provide poor estimation of DS, (4) poor DS estimation when a detection lane is adjacent to a shared lane, and (5) the DS values obtained during a day can hardly be stable all time. The findings suggest traffic engineers a progressive direction to move forward for the next real-time traffic control systems.

Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

  • Azeez, Omer Saud;Pradhan, Biswajeet;Jena, Ratiranjan;Jung, Hyung-Sup;Ahmed, Ahmed Abdulkareem
    • Korean Journal of Remote Sensing
    • /
    • v.35 no.1
    • /
    • pp.137-149
    • /
    • 2019
  • Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.