• Title/Summary/Keyword: Traffic Characteristics

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Effects of traffic characteristics on pavement responses at the road intersection

  • Yang, Qun;Dai, Jingwang
    • Structural Engineering and Mechanics
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    • v.47 no.4
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    • pp.531-544
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    • 2013
  • Compared with pavement structures of ordinary road sections, pavement structures in the intersection are exposed to more complex traffic characteristics which may exacerbates pavement distresses such as fatigue-cracking, shoving, shear deformation and rutting. Based on a field survey about traffic characteristics in the intersection conducted in Shanghai China, a three dimensional dynamic finite-element model was developed for evaluating the mechanistic responses in the pavement structures under different traffic characteristics, namely uniform speed, acceleration and deceleration. The results from this study indicated that : (1) traffic characteristics have significant effects on the distributions of the maximum principal strain (MPS) and the maximum shear stress (MSS) at the pavement surface; (2) vehicle acceleration or deceleration substantially impact the MPS and MSS at pavement surface and could increase the magnitude of them by 20 percent to 260 percent; (3) in the vertical direction, with the increase of vehicle deceleration rate, the location of the MPS peak value and the MSS peak value changes from the sub-surface layer to the pavement surface.

Traffic Light Detection Using Morphometric Characteristics and Location Information in Consecutive Images (차량용 신호등의 형태적 특징과 연속 영상내의 위치 정보를 이용한 신호등 검출)

  • Jo, Pyeong-Geun;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.12
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    • pp.1122-1129
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    • 2015
  • This paper suggests a method of detecting traffic lights for vehicles by combining the HSV(hue saturation value) color model, morphometric characteristics, and location information appearing on consecutive images in daytime. In order to detect the traffic light, the color corresponding to the signal lights should be explored. It is difficult to detect traffic lights among colors of lights from buildings, taillight of cars, leaves, placards, etc. The proposed algorithm searches for the traffic lights from many candidates using morphometric characteristics and location information in consecutive images. The recognition process is divided into three steps. The first step is to detect candidates after converting RGB channel into HSV color model. The second step is to extract the boundaries between the housing of traffic lights and background by exploiting the assumption that the housing has lower brightness than the surrounding background. The last step is to recognize the signal light after eliminating the false candidates using morphometric characteristics and location information appearing on consecutive images. This paper demonstrates successful detection results of traffic lights from various images captured on the city roads.

A Statistical Analysis of the Characteristics of Traffic Flow on the Road (도로교통류(道路交通流) 특성(特性)에 관한 통계해석(統計解析))

  • Nam, Young Kug
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.5 no.3
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    • pp.145-159
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    • 1985
  • An understanding of interrelationships among basic characteristics of vehicular traffic flow, such as volum, speed, headtime, and density, is of prime importance. Similarly in providing proper level of servicebility in the field of base of design and traffic control, it is deeply connected. After all, with a view to improve traffic flow characteristics, future efforts about the mutual function development between rod and traffic should be made on the basis of present traffic characteristics. This paper figures out some traffic characteristics from field data and provides proper model of equation to estimate traffic volume on the road.

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An Empirical Analysis of the Behavior of Weaving Traffic in a Freeway Weaving Section (고속도로 위빙(Weaving) 구간의 교통행태에 대한 경험적 분석)

  • 유경수
    • Journal of Korean Society of Transportation
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    • v.6 no.1
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    • pp.17-31
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    • 1988
  • In this research, the behavior of weaving traffic is studied in terms of lane-changing behavior and gap acceptance characteristics. General trends in lane-changing behavior and gap acceptance characteristics are investigated by analyzing descriptive statistics and the factors affecting weaving behavior are determined by means of the multiple linear regression analysis. The results of analysis show that the behavior of weaving traffic is generally similar to that in a basic freeway section and an on- or of- ramp section. Traffic density and speed appear to be better parameters than traffic volume for explaining the behavior of weaving traffic. For the same purpose, using the traffic conditions of the origin and the destination lanes are found to be more effective than using the average traffic conditions of the freeway. A detailed analysis of the gap acceptance characteristics of late merging vehicles shows that there is no significant difference between the size of gaps accepted by late merging vehicles and that accepted by early merging vehicles.

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HTTP Traffic Modeling and Analysis with Statistical Process (통계적 분석을 이용한 HTTP 트래픽 모델링 및 분석)

  • Jun Uie-Soo;Lee Kwang-Hui
    • Journal of Internet Computing and Services
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    • v.5 no.4
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    • pp.63-76
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    • 2004
  • For efficient design and operation of a communication network, precise simulation of network characteristics is essential. This issue has been the focus of research by several groups. In this study, we first modeled the HTTP traffic which would be employed on simulation on the level of application using the real collected traffic data. There are two different viewpoints on the characteristics of web traffic pattern, Poisson distribution and self-similar characteristics. In our study, the results show that web traffic characteristics do not depend on only one type of distribution, but the traffic can be modeled as composition of these depending on the size of response of Web server. This implicates that the web traffic can be modeled as the combination of two characteristics. We also found that the characteristics of Web traffic rely on the properties of web servers. This result was deployed as a traffic generator in implementing the network simulator (NetDAS).

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Performance Analysis of ABR Congestion Control Algorithm using Self-Similar Traffic

  • Kim, Dong-Il;Jin, Sung-Ho
    • Journal of information and communication convergence engineering
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    • v.2 no.1
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    • pp.15-21
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    • 2004
  • One of the most important issues in designing a network and realizing a service is dealing with traffic characteristics. Recent experimental research on LAN, WAN, and VBR traffic properties has highlighted that real traffic specificities can not be displayed because the current models based on the Poisson assumption under estimate the long range dependency of network traffic and self-similar peculiarities. Therefore, a new approach using self-similarity characteristics as a real traffic model was recently developed. In This paper we discusses the definition of self-similarity traffic. Moreover, real traffic was collected and we generated self-similar data traffic like real traffic to background load. On the existing ABR congestion control algorithm transmission throughput with the representative ERICA, EPRCA and NIST switch algorithm show the efficient reaction about the burst traffic.

A Study on the Traffic Flow Analysis Method by Image Processing (화상처리에 의한 교통류 해석방법에 관한 연구)

  • 이종달;이령욱
    • Journal of Korean Society of Transportation
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    • v.12 no.1
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    • pp.97-116
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    • 1994
  • Today advanced traffic management systems are required because of a high increase in traffic demand. Accordingly, the objective of this study is to take advantage of image processing systems and present image processing methods available for collection of the data on traffic characteristics, and then to investigate the possibility of traffic flow analysis by means of comparison and analysis of measured traffic flow. Data were collected at two places of Daegu city and Kyongbu expressway by using VTR. Rear view (down stream) and frontal view (up stream) methods were employed to compare and analyze traffic characteristics including traffic volume, speed, time-headway, time-occupancy, and vehicle-length, by analysis of measured traffic flow and image processing respectively. Judging from the results obtained by this study, image processing techniques are sufficient for the analysis of traffic volume, but a frame grabber equipped with high speed processor is necessary as well, with low level system judged to be sufficient for traffic volume analysis.

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Computation method of effective bandwidth of VBR MPEG video traffic using the modified equivalent capacity (수정된 equivalent capcity를 이용한 VBR MPEG 비디오 트랙픽의 등가대역폭 계산방법)

  • 하경봉;이창범;박래홍
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.10
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    • pp.40-47
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    • 1996
  • A method for computing effectiv ebandwidth of aggregated varable bit rate (VBR) moving picture experts group (MPEG) video traffic is proposed. To compute statistical characteristics of aggregated MPEG traffic, first we split input MPEG traffic into I, B, and P frame traffics and aggregate respective I, B, and P frame traffics according to the frame type. Second statisticsal characteristics of the aggregated MPEG traffic are obtained using those of aggregated I, B, and P frame traffics. The effective bandwidth of the aggregated I frame traffic is computed by using the gaussian bound. Using the modified equivalent capacity, we obtain the effective bandwidths of aggregated B and P frame traffics and then compute the effective bandwidth of the combined B and P frame traffic. Finally the effective bandwidth of the aggregated MPEG traffic is computed by adding the gaussian bound of the aggregated I frame traffic and modifed equivalent capacity of combined B and P frame traffic. Computer simulation shows that the proposed method estimates effective bandwidth of the aggregated MPEG traffic well.

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Measurement based Traffic Generator for Network Game (트래픽 측정에 기반한 네트워크 게임 트래픽 생성기)

  • Eunsil Hong;Jaecheol Kim;Yanghee Choi
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10c
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    • pp.49-51
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    • 2003
  • Developers of network games have used several prediction techniques for hiding transmission delay to support the real­time requirement of network games. Nowadays many researches that are related with network game are in progress to solve delay problems more radically, such as to propose new routers architecture and transport protocols suitable to characteristics of network game traffic. So for these advanced researches the tasks to grasp the traffic characteristics of a network game are needed. In this paper we aimed to capture the traffic of MMORPG and present the statistical analysis of measured data. The measurement and the analysis were accomplished with the server of 'Lineage' that regarded as the most successful MMORPG. Next, we have implemented a traffic generator that reflects the characteristics of MMORPG and shown that the trace generated by MMORPG traffic generator had identical characteristics with actual traffic using statistical testing method. We expect that this traffic generator can be used in many researches related with a network game.

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Statistical Analysis on Lateral Wheel Path Distributions of 2nd and 3rd Traffic Lanes (2, 3차로 통행차량의 횡방향 이격거리에 대한 통계 분석 연구)

  • Kim, Nak-seok
    • Journal of the Society of Disaster Information
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    • v.5 no.1
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    • pp.30-44
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    • 2009
  • Asphalt concrete pavements are often destroyed within the intended design life due to the increasement in traffic volume. The most common types of asphalt concrete pavement damages are permanent deformation and fatigue cracking, and so on. In this research, characteristics of traffic loadings and lateral wheel path distributions are analyzed using the field survey on traffic flow. The obtained traffic characteristics can be used to the decision making for the maintenance policy of roads. According to the traffic lane analysis for the 2nd and 3rd lanes, inner lane vehicles tended to pass to the right side to avoid the opposite side vehicles. In addition, the outside lane vehicles were deviated to the left side to avoid passengers. It is also noted that the lateral wheel path distributions was close to the normal distribution.

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