• Title/Summary/Keyword: Analysis of traffic pattern

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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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Road Maintenance Planning with Traffic Demand Forecasting (장래교통수요예측을 고려한 도로 유지관리 방안)

  • Kim, Jeongmin;Choi, Seunghyun;Do, Myungsik;Han, Daeseok
    • International Journal of Highway Engineering
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    • v.18 no.3
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    • pp.47-57
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    • 2016
  • PURPOSES : This study aims to examine the differences between the existing traffic demand forecasting method and the traffic demand forecasting method considering future regional development plans and new road construction and expansion plans using a four-step traffic demand forecast for a more objective and sophisticated national highway maintenance. This study ultimately aims to present future pavement deterioration and budget forecasting planning based on the examination. METHODS : This study used the latest data offered by the Korea Transport Data Base (KTDB) as the basic data for demand forecast. The analysis scope was set using the Daejeon Metropolitan City's O/D and network data. This study used a traffic demand program called TransCad, and performed a traffic assignment by vehicle type through the application of a user equilibrium-based multi-class assignment technique. This study forecasted future traffic demand by verifying whether or not a realistic traffic pattern was expressed similarly by undertaking a calibration process. This study performed a life cycle cost analysis based on traffic using the forecasted future demand or existing past pattern, or by assuming the constant traffic demand. The maintenance criteria were decided according to equivalent single axle loads (ESAL). The maintenance period in the concerned section was calculated in this study. This study also computed the maintenance costs using a construction method by applying the maintenance criteria considering the ESAL. The road user costs were calculated by using the user cost calculation logic applied to the Korean Pavement Management System, which is the existing study outcome. RESULTS : This study ascertained that the increase and decrease of traffic occurred in the concerned section according to the future development plans. Furthermore, there were differences from demand forecasting that did not consider the development plans. Realistic and accurate demand forecasting supported an optimized decision making that efficiently assigns maintenance costs, and can be used as very important basic information for maintenance decision making. CONCLUSIONS : Therefore, decision making for a more efficient and sophisticated road management than the method assuming future traffic can be expected to be the same as the existing pattern or steady traffic demand. The reflection of a reliable forecasting of the future traffic demand to life cycle cost analysis (LCCA) can be a very vital factor because many studies are generally performed without considering the future traffic demand or with an analysis through setting a scenario upon LCCA within a pavement management system.

Effectiveness Analysis of Improved Passing Method Considering Traffic Pattern on Climbing Lane (오르막차로 통행방법 개선에 따른 효과분석)

  • Lee, Eui-Joon;Park, Kwon-Je;Han, Ki-Hwan;Baek, Kyong-Min
    • International Journal of Highway Engineering
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    • v.12 no.2
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    • pp.91-97
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    • 2010
  • This study started from the problem recognition of climbing lane installed in Korea roads. Because design standards of climbing lane installed don't match traffic pattern of korean drivers, coefficient of utilization of climbing lane is low and merging section between climbing lane and main lane has traffic accident possibilities. For this, brand-new design standards developed from the present lane design criterion, taper lenghs, and traffic signs, then field adoption test was carried out to prove the effectiveness. As a result, coefficient of utilization of climbing lane and average traffic velocity in climbing section are improved and the economic analysis also shows that brand-new standards has high feasibility for low cost. In case of broad application to not only expressway but national and local road based on the study, it could be a significant contribution to traffic flow improvement.

A study on the traffic analysis in LAN environment (LAN 환경에서의 트래픽 해석에 관한 연구)

  • 이종영;오영환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.8
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    • pp.1970-1975
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    • 1996
  • The characteristics of data traffic on the Ethernet LAN are investigated on the basis of measurements. The analysis on the arrival pattern of packets on the network is found not to be a Poission process but to be Weibull distributions. An analysis of network traffic, packet arrivals are found to exhibit a 'source locality'. It is observed that file transfers are reponsible for about 92% of the traffic on the network. Our results will be useful for modelling purposes.

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Pattern Spectrum Component Function and Warning Traffic Sign Recognition (패턴 스펙트럼 성분 함수와 주의 교통 표지 인식)

  • 김회진;장강의;최태영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.3
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    • pp.401-409
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    • 1997
  • In this paper, a pattern spectrum component function is introduced for an oriented shape analysis and its properties are discussed. It can represent directional information of shape more precisely than the conventional oriented pattern spectrum. An adaptive distance function between two pattern spectrum component functions is presented to recognize different shapes in noise. As a practical application, the pattern spectrum component function is applied to warning traffic sign recognitions utilizing the adaptive distance functions. Favorable results are obtained compared to the oriented pattern spectrum.

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A Study on Spatial Pattern of Impact Area of Intersection Using Digital Tachograph Data and Traffic Assignment Model (차량 운행기록정보와 통행배정 모형을 이용한 교차로 영향권의 공간적 패턴에 관한 연구)

  • PARK, Seungjun;HONG, Kiman;KIM, Taegyun;SEO, Hyeon;CHO, Joong Rae;HONG, Young Suk
    • Journal of Korean Society of Transportation
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    • v.36 no.2
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    • pp.155-168
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    • 2018
  • In this study, we studied the directional pattern of entering the intersection from the intersection upstream link prior to predicting short future (such as 5 or 10 minutes) intersection direction traffic volume on the interrupted flow, and examined the possibility of traffic volume prediction using traffic assignment model. The analysis method of this study is to investigate the similarity of patterns by performing cluster analysis with the ratio of traffic volume by intersection direction divided by 2 hours using taxi DTG (Digital Tachograph) data (1 week). Also, for linking with the result of the traffic assignment model, this study compares the impact area of 5 minutes or 10 minutes from the center of the intersection with the analysis result of taxi DTG data. To do this, we have developed an algorithm to set the impact area of intersection, using the taxi DTG data and traffic assignment model. As a result of the analysis, the intersection entry pattern of the taxi is grouped into 12, and the Cubic Clustering Criterion indicating the confidence level of clustering is 6.92. As a result of correlation analysis with the impact area of the traffic assignment model, the correlation coefficient for the impact area of 5 minutes was analyzed as 0.86, and significant results were obtained. However, it was analyzed that the correlation coefficient is slightly lowered to 0.69 in the impact area of 10 minutes from the center of the intersection, but this was due to insufficient accuracy of O/D (Origin/Destination) travel and network data. In future, if accuracy of traffic network and accuracy of O/D traffic by time are improved, it is expected that it will be able to utilize traffic volume data calculated from traffic assignment model when controlling traffic signals at intersections.

Pattern Recognition of Ship Navigational Data Using Support Vector Machine

  • Kim, Joo-Sung;Jeong, Jung Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.4
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    • pp.268-276
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    • 2015
  • A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

A Microscopic Analysis on the Fundamental Diagram and Driver Behavior (교통기본도와 운전자 행태에 대한 미시적 분석)

  • Kim, Taewan
    • International Journal of Highway Engineering
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    • v.14 no.6
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    • pp.183-190
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    • 2012
  • PURPOSES : The fundamental diagram provides basic information necessary in the analysis of traffic flow and highway operation. When traffic flow is congested, the density-flow points in the fundamental diagram are widely scattered and move in a stochastic manner. This paper investigates the pattern of density-flow point transitions and identifies car-following behaviors underlying the density-flow transitions. METHODS : From a microscopic analysis of 722 fundamental diagrams of NGSIM data, a total of 20 transition patterns of fundamental diagrams are identified. Prominent features of the transition patterns are explained by the behavior of the leader and follower. RESULTS : It is found out that the average speed and the speed difference between the leader and the follower critically determine the density-flow transition pattern. The density-flow path is very sensitive to the values of vehicle speed and spacing especially at low speed and high density such that most fluctuations in the fundamental diagram in the congested regime is due to the noise of speed and spacing variations. CONCLUSIONS : The result of this study suggests that the average speed, the speed difference between the leader and the follower, and the random variations of speed and spacing are dominant factors that explain the transition patterns of a fundamental diagram.

A Study on Ways to Improve Benefits of Travel-time in Analyzing the Economic Efficiency (경제성분석시 통행시간절감편익 개선방안에 관한 연구)

  • Lee, Sooil;Lee, Seungjae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3D
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    • pp.263-270
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    • 2010
  • This research has reviewed the ways to improve the benefits of shortening of transit hours among the benefit items in analysis of economic efficiency. The existing way of calculating the benefits of shortening the transit hours in analysis of economic efficiency has been using O/D in peak to multiply by 365. This method has a problem of not considering the change of traffic according to the month and the day of the week. To improve such problem, the volume of traffics at 361 regular research branches of the chronological statistics of traffic volume was used to analyze the pattern change of traffic volume per day of the week and per month by t-test and cluster analysis. The results show a difference in traffic volume according to the day of the week and the month. In the research example, a supposed O/D and network were used to apply weight per day of the week and per month to see a slight difference with the existing method of calculating benefits of shortening the transit hours. This signifies the necessity to study about the weight to consider the change pattern of traffic volume.

A Study on Visitors' Circulation Pattern and Amount of Traffic in the Multi-Purpose Commercial Complex (복합상업시설에서의 방문객의 경로선택과 통행량에 관한 연구 - 공간구문론과 현장조사 비교연구 -)

  • Song Se-Young;Song Byung-Ha
    • Korean Institute of Interior Design Journal
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    • v.14 no.5 s.52
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    • pp.236-244
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    • 2005
  • This study investigates the effects of the spatial elements of the mulit-purpose commercial complex on visitors' circulation pattern and wayfinding by employing method of space syntax, observation, and interview survey. Two commercial complexes were investigated; Techno-mart represented a vertical type and COEX mall rendered a horizontal one. Analysis of the spatial elements using space-syntax method provided a base line for comparing analyses by the two other methods. Analysis of the interview additionally survey identified the factors affecting wayfinding behavior and contributing satisfaction. The findings suggest that level of the effects of the spatial configuration on visitors' circulation pattern is greater in Techno-mart(vertically oriented) than COEX(horizontally). In COEX, for instance, specific route that connects sub-way station and cinema complex carries far more traffic than main route, even though the main route indicates higher degree of integration of spatial configuration. Similar with observation, the degree of integration is corresponding with the satisfaction and easiness of wayfinding behavior In COEX, specific place and feature seem to have more effects on visitors' wayfinding behavior and circulation pattern than the level of integration of spatial configuration.