• Title/Summary/Keyword: Link Flow

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The Development of A Dynamic Traffic Assignment Technique using the Cell Transmission Theory (Cell Transmission 이론을 이용한 동적통행배정기법 개발에 관한 연구)

  • 김주영;이승재;손의영
    • Journal of Korean Society of Transportation
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    • v.17 no.4
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    • pp.71-84
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    • 1999
  • The purpose of this study is to construct a dynamic traffic analysis model using the existing traffic flow theory in order to develope a dynamic traffic assignment technique. In this study the dynamic traffic analysis model was constructed using Daganzo's CELL TRANSMISSION THEORY which was considered more suitable to dynamic traffic assignment than the other traffic flow theories. We developed newly the diverging split module, the cost update module and the link cost function and defined the maximum waiting time decision function that Daganzo haven't defined certainly at his Papers. The output that resulted from the simulation of the dynamic traffic analysis model with test network I and II was shown at some tables and figures, and the analysis of the bottleneck and the HOV lane theory showed realistic outputs. Especially, the result of traffic assignment using the model doesn't show equilibrium status every time slice but showed that the average travel cost of every path maintains similarly in every time slice. It is considered that this model can be used at the highway operation and the analysis of traffic characteristics at a diverging section and the analysis of the HOV lane effect.

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The Development of Estimation Technique of Freeway Origin-Destination Demand Using a Real Traffic Data of FTMS (교통관리시스템의 실시간 교통자료를 이용한 고속도로 동적OD 추정기법의 개발)

  • Kim, Ju-Young;Lee, Seung-Jae
    • Journal of Korean Society of Transportation
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    • v.23 no.4 s.82
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    • pp.57-69
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    • 2005
  • The goal of this paper is to develop freeway Origin-Destination (OD) demand estimation model using real-time traffic data collected from Freeway Traffic Management System (FTMS). In existing research, the micro-simulation models had been used to get a link distribution proportion by time process. Because of hi-level problem between the traffic flow model and the optimal OD solution algorithm, it is difficult for the existing models to be loaded at FTMS. The formulation of methodology proposed in this paper includes traffic flow technique to be able to remove the bi-level problem and optimal solution algorithm using a genetic algorithm. The proposed methodology is evaluated by using the real-time data of SOHAEAN freeway, South Korea.

Effects of Abuse, Neglect, and Excessive Interference of Parents on Adolescent Aggression: Moderating Effect of Playing Computer Game (부모의 학대, 방임, 과잉간섭이 청소년 자녀의 공격성에 미치는 영향: 컴퓨터 게임 이용빈도의 조절효과)

  • Lee, Jinhee
    • The Journal of the Korea Contents Association
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    • v.18 no.5
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    • pp.330-342
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    • 2018
  • The purpose of this study was to investigate effects of abuse, neglect, and excessive interference of parents on adolescent aggression in the longitudinal context and examine the moderating effect of playing computer game theoretically guided by the flow theory. 2,351 adolescents from the Korean Children & Youth Panel Survey was analyzed using Linear Mixed Effects Regression procedures. Primary findings are as follows: (1) adolescents with higher level of abuse or excessive interference showed higher level of aggression. (2) the aggression level of adolescents with higher level of abuse or excessive interference consistently decreased over time. (3) the link between abuse and aggression was significantly moderated by playing computer game. In conclusion, the negative effect of the abuse on adolescent aggression could be significantly decreased by playing computer game.

Training Sample of Artificial Neural Networks for Predicting Signalized Intersection Queue Length (신호교차로 대기행렬 예측을 위한 인공신경망의 학습자료 구성분석)

  • 한종학;김성호;최병국
    • Journal of Korean Society of Transportation
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    • v.18 no.4
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    • pp.75-85
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    • 2000
  • The Purpose of this study is to analyze wether the composition of training sample have a relation with the Predictive ability and the learning results of ANNs(Artificial Neural Networks) fur predicting one cycle ahead of the queue length(veh.) in a signalized intersection. In this study, ANNs\` training sample is classified into the assumption of two cases. The first is to utilize time-series(Per cycle) data of queue length which would be detected by one detector (loop or video) The second is to use time-space correlated data(such as: a upstream feed-in flow, a link travel time, a approach maximum stationary queue length, a departure volume) which would be detected by a integrative vehicle detection systems (loop detector, video detector, RFIDs) which would be installed between the upstream node(intersection) and downstream node. The major findings from this paper is In Daechi Intersection(GangNamGu, Seoul), in the case of ANNs\` training sample constructed by time-space correlated data between the upstream node(intersection) and downstream node, the pattern recognition ability of an interrupted traffic flow is better.

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A Packet Dropping Algorithm based on Queue Management for Congestion Avoidance (폭주회피를 위한 큐 관리 기반의 패킷 탈락 알고리즘)

  • 이팔진;양진영
    • Journal of Internet Computing and Services
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    • v.3 no.6
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    • pp.43-51
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    • 2002
  • In this paper, we study the new packet dropping scheme using an active queue management algorithm. Active queue management mechanisms differ from the traditional drop tail mechanism in that in a drop tail queue packets are dropped when the buffer overflows, while in active queue management mechanisms, packets may be dropped early before congestion occurs, However, it still incurs high packet loss ratio when the buffer size is not large enough, By detecting congestion and notifying only a randomly selected fraction of connection, RED causes to the global synchronization and fairness problem. And also, it is the biggest problem that the network traffic characteristics need to be known in order to find the optimum average queue length, We propose a new efficient packet dropping method based on the active queue management for congestion control. The proposed scheme uses the per-flow rate and fair share rate estimates. To this end, we present the estimation algorithm to compute the flow arrival rate and the link fair rate, We shows the proposed method improves the network performance because the traffic generated can not cause rapid fluctuations in queue lengths which result in packet loss

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An Solution Algorithm for A Multi-Class Dynamic Traffic Assignment Problem (다계층운전자를 고려한 동적통행배정모형의 해법)

  • Shin, Seong-Il;Kim, Jeong-Hyun;Baik, Nam-Cheol
    • Journal of Korean Society of Transportation
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    • v.21 no.6
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    • pp.77-88
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    • 2003
  • This paper proposes a solution algorithm for solving a multi-class analytical DTA model. In the DTA model, three traveler classes are classified according to different assumptions of traveler's route choice behavior: including fixed route, Stochastic Dynamic User Optimum(SDUO), and Dynamic User Optimum(DUO). To solve this DTA model, variables of link flow and exit flow are represented solely by inflow. The resulting Linear Program(LP) subproblem in the inner iteration is solved as a typical time-dependent shortest route problem over a physical network. Accordingly, the required time-space network expansion in solving DTA models is no longer needed.

An Analysis of the Characteristics of the Transition Trand of the Multi-family Housing Theory by Planning Community Units - Focused on the new town planning in Korea - (생활권 개념의 변화에 따른 주거지 계획의 시기별 특성 변화 - 국내 신도시 및 신시가지 계획을 중심으로 -)

  • Yi, Jong-Hwa;Koo, Ja-Hoon
    • Journal of the Korean housing association
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    • v.20 no.4
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    • pp.79-88
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    • 2009
  • A planned access method on constantly-changing-community unit plan changes and develops based on the periodical situation and also plan theory. In this research, it is to present the link between the theory of complex city change and the plan factor of it, and to show how Korean residential complex plan has changed as time passed and how new concept of city plan came up and by applying new methods how can this affect our real world and the past plan. In the phase of analysis, it analyzed the flow of 'community unit plan' and its theory and investigated the factor of compositional space and built a analysis frame. The factors of community unit plan are space structure, size and shape of block, population, distribution of facilities and movement system. It chose the place that can represent the flow of community unit plan trand and that indicates the obvious development leading to Jamsil (1975), Gwa Chun (1980), Mok Dong (1983), Sang Ge (1985), Ilsan (1989), Dong tan (2001) and Eun Jung (2003) total of 7 places. And to compare a similar size of the city, it selected a small community unit. Based on the result of theoretical study and prior research, it can be said that the space composition style has change from a whole complete complex area to a linked-cross over community unit and the access of urban level was on set. Also, a pedestrian walking area was secured and the dense of building structure and pleasant environment wanting need was in balance. For facility plans, the usage of facility and functional change brought change of type, size and disposition. The walking area for pedestrian became a huge matter. Therefore, market, education, public facilities and green system collaborated to co-build a whole community unit and activated the walking environment. Also, public transportation, environment friendly city organization was built.

Packet Drop Technique for Differentiated Services in Wired Ship Area Networks (선박 내 유선망에서 차등화 서비스 지원을 위한 패킷 폐기 기술)

  • Lee, Seong Ro;Kwon, Jang-Woo;Jeong, Min-A;Hur, Kyeong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.11
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    • pp.1177-1184
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    • 2014
  • An wired ship area network has functionality of remote control and autonomous management of various sensors and instruments embedded or boarded in a ship. For such environment, the DiffServ (Differentiated Services) realizes that the high-speed real-time flow with the higher priority has the guaranteed minimum data rate and is delivered faster. As a result of this DiffServ effect, the intelligent Ship Area Networks can be implemented. In this paper, an packet drop technique is proposed to outperform the previous RIO (RED In and Out) drop mechanism for DiffServ in ship area networks. the proposed packet drop technique does not manage the individual flows and divides them into several flow groups according to a criterion. And it guarantees the fairness between individual flows in the same QoS class through the group-based control. In simulation results of the proposed packet drop technique, the link utilization decreases than RIO. But it guarantees more data rates to DiffServ flows passing multiple bottleneck links.

A study on the enhancement and performance optimization of parallel data processing model for Big Data on Emissions of Air Pollutants Emitted from Vehicles (차량에서 배출되는 대기 오염 물질의 빅 데이터에 대한 병렬 데이터 처리 모델의 강화 및 성능 최적화에 관한 연구)

  • Kang, Seong-In;Cho, Sung-youn;Kim, Ji-Whan;Kim, Hyeon-Joung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.1-6
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    • 2020
  • Road movement pollutant air environment big data is a link between real-time traffic data such as vehicle type, speed, and load using AVC, VDS, WIM, and DTG, which are always traffic volume survey equipment, and road shape (uphill, downhill, turning section) data using GIS. It consists of traffic flow data. Also, unlike general data, a lot of data per unit time is generated and has various formats. In particular, since about 7.4 million cases/hour or more of large-scale real-time data collected as detailed traffic flow information are collected, stored and processed, a system that can efficiently process data is required. Therefore, in this study, an open source-based data parallel processing performance optimization study is conducted for the visualization of big data in the air environment of road transport pollution.

Design of an Information System Prototype for Generating and Linking Ultra-precision Digital Maps of Construction Sites (건설 현장의 초정밀 디지털 맵 생성 및 연계를 위한 정보체계 프로토타입 설계)

  • Kim, Jong-Hyeop;Yeom, Dong-Jun;Ko, Hyun-A;Kang, Tai-Kyung
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.1015-1024
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    • 2020
  • By nature, smart construction technology is a convergence technology, therefore aptly constructing and running an information system is needed in order to effectively develop and maintain it. Thus, in this study, an information system prototype was developed for the creation and linking of high precision digital maps at road construction sites for the effective performance of the development of the Information Collecting and Analyzing Techniques in the Construction Site (ICAT). For this, (1) defined input/output (I/O) data of each technical detail of ICAT, (2) analyzed the data flow, (3 ) proposed an information system prototype for high precision digital maps development and connection. Based on the information system prototype constructed in this study, it was inferred that each technique and its information for the Smart Construction Technique Development Business was in a consistent flow. Developed information system prototype would enable effective cooperation between subjects directly involved in the technique development, by defining I/O data in advance. Moreover, it would be of value to practitioners for refining the output data from each technique, thereby linking databases and forming Entity Relationship Diagram.