• Title/Summary/Keyword: CA모형

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A Traffic Flow Micro-simulation System Using Cellular Automata (CA모형을 이용한 미시적 교통류 시뮬레이션 시스템 개발에 관한 연구)

  • 조중래;고승영;김진구;김채만
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.133-144
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    • 2001
  • The purpose of this study is to develop micro simulation model for large-scale network with driver's behavior model. This study is performed for uninterrupted flow road section. And this model is developed to simulate traffic flow of the real network with unique geometric structure. The vehicle transmission and drivers' behavior model based on the exiting Cellular Automata approach.

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Development of Lane-changing Model for Two-Lane Freeway Traffic Based on CA (Cellular Automata 기반 2차로 고속도로 차로변경모형 개발)

  • Yoon, Byoung Jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.329-334
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    • 2009
  • The various behaviors of vehicular traffic flow are generated through both car-following and lane-changing behaviors of vehicles. Especially lane-usage varies by lane-changing behaviors. In the area of microscopic vehicle simulation, a lane-changing model connected to a car-following model parallel is essential to generate both various traffic flows relationships and laneusages. In Korea, some studies on car-following models have been reported, but few studies for lane-changing models stay in the beginning stage. In this paper, a two-lane changing model for the simulation modeling of large freeway network is introduced. The lane-changing model is developed based on CA (Cellular Automata) model. The developed model is parallel combined with an existing CA car-following model and tested on a closed link system. The results of simulation show that the developed model generates the various behaviors of lane usage, which existing CA lane-changing models could not generate. The presented model is expected to be used for the simulation of more various freeway traffic flows.

Multi-directional Pedestrian Model Based on Cellular Automata (CA기반의 다방향 보행자 시뮬레이션 모형개발)

  • Lee, Jun;Bae, Yun-Kyung;Chung, Jin-Hyuk
    • International Journal of Highway Engineering
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    • v.12 no.4
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    • pp.11-16
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    • 2010
  • Various researches have been performed on the topic of pedestrian traffic flow. At the beginning, the modeling and simulation method for the vehicular traffic flow was simply applied to pedestrian traffic flow. Recently, CA based simulation models are frequently applied to pedestrian flow analysis. Initially, the square Lattice Model is a base model for applying to pedestrians of counterflow and then Hexagonal Lattice Model improves its network as a hexagonal cell for more realistic movement of the avoidance of pedestrian conflicts. However these lattice models express only one directional movement because they express only one directional movement. In this paper, MLPM (the Multi-Layer Pedestrian Model) is suggested to give various origins and destinations for more realistic pedestrian motion in some place.

Development of a cellular automata-based water cycle and inundation analysis technology (셀룰러 오토마타 기반 물순환 및 침수 해석 기반 기술 개발)

  • Choi, Hyeon Jin;Noh, Seong Jin;Lee, Eun Hyung;Kim, Sang Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.436-436
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    • 2022
  • 셀룰러 오토마타(Cellular Automata; CA)는 격자(cell)에 대해 사전 정의된 규칙을 바탕으로 이웃 격자 간 상호작용을 해석하여 복잡한 동력학적 현상을 효과적으로 재현할 수 있는 이산형(discrete) 모의 기법이다. CA 기법은 격자 구조에 수치표고 자료 및 토양수분 정보 등을 직접 매칭 후 상호관계를 해석하기 때문에 공간정보를 최대한 활용하여 불균질성을 나타내는 것이 가능하다. 따라서, 도시 유출해석에 있어서 높은 정확도와 빠른 계산속도를 기대할 수 있다. 본 연구에서는 CA 기반 고해상도 물순환·침수 연계 해석 framework 개발 방향 및 CA 기반 prototype 모형의 사면유출 적용 사례를 소개한다. 개발 중인 CA 모형에서는 격자별 침수 깊이, 침투, 토양수분 저류, 지표 유출 등의 물순환 요소를 모의할 수 있다. 기존의 집중형(lumped) 모형은 지표-지표하 유출에 대한 routing algorithm이 없고 각 셀의 물수지 모형 내 파라미터가 많은 단점이 있다. 따라서 개발 중인 CA 모형에서는 cell state 내 fast reservoir와 slow reservoir를 통해 지표-지표하 상태를 구현하고 단순화된 물수지 모형 및 흐름 방향 알고리즘을 적용함으로써 실제 현장에서 발생하는 다중 피크 형태의 지표 유출을 모사한다. 최적의 지표수 흐름 방향 알고리즘 선정을 위해 3개의 다중 흐름 방향 알고리즘(D4, D8, 4+4N)을 정량적으로 비교·분석한다. 이번 발표에서는 CA 모형을 소규모 산지 사면과 도심지 등 다양한 규모의 테스트베드에 적용하여 모형의 장단점을 평가한다.

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A Study on Link Travel Time Prediction by Short Term Simulation Based on CA (CA모형을 이용한 단기 구간통행시간 예측에 관한 연구)

  • 이승재;장현호
    • Journal of Korean Society of Transportation
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    • v.21 no.1
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    • pp.91-102
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    • 2003
  • There are two goals in this paper. The one is development of existing CA(Cellular Automata) model to explain more realistic deceleration process to stop. The other is the application of the updated CA model to forecasting simulation to predict short term link travel time that takes a key rule in finding the shortest path of route guidance system of ITS. Car following theory of CA models don't makes not response to leading vehicle's velocity but gap or distance between leading vehicles and following vehicles. So a following vehicle running at free flow speed must meet steeply sudden deceleration to avoid back collision within unrealistic braking distance. To tackle above unrealistic deceleration rule, “Slow-to-stop” rule is integrated into NaSch model. For application to interrupted traffic flow, this paper applies “Slow-to-stop” rule to both normal traffic light and random traffic light. And vehicle packet method is used to simulate a large-scale network on the desktop. Generally, time series data analysis methods such as neural network, ARIMA, and Kalman filtering are used for short term link travel time prediction that is crucial to find an optimal dynamic shortest path. But those methods have time-lag problems and are hard to capture traffic flow mechanism such as spill over and spill back etc. To address above problems. the CA model built in this study is used for forecasting simulation to predict short term link travel time in Kangnam district network And it's turned out that short term prediction simulation method generates novel results, taking a crack of time lag problems and considering interrupted traffic flow mechanism.

Development and evaluation of Cellular Automata based urban inundation model CA-Urban : City of Portland case (셀룰러 오토마타 기반 CA-Urban 모형의 개발 및 침수해석 평가: Portland 도심 적용 사례)

  • Songhee Lee;Hyeonjin Choi;Hyuna Woo;Seong Jin Noh;Sang Hyun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.334-334
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    • 2023
  • 도시침수는 사회 기반시설에 파괴적인 영향을 끼치고, 재산 및 인명 피해의 원인이 되므로, 고해상도 고정확도 예측 정보를 활용한 선제적 대응이 중요하다. 하지만, 기후변화로 인한 강수 강도의 증가, 도시의 확장 및 고밀화 등 토지피복 변화, 홍수방어시설의 노후화 등 여러 요인들의 복합적인 영향으로 인해 도시침수의 정확한 재현 및 예측은 여전히 난제로 남아 있다. 천수 방정식(Shallow Water Equations)을 기반으로 하는 물리과정 모형은 신뢰도 높은 예측 결과를 제공할 수 있지만, Courant-Friedrichs-Lewy 조건 등의 제약으로 인해 대규모 도시 지역의 고해상도 실시간 예측에는 적합하지 않은 한계가 있다. 본 연구에서는 상대적으로 간단한 연산 규칙의 중첩을 통해 복잡계 물리 시스템을 모의하는 셀룰러 오토마타(Cellular Automata; CA) 기술에 기반한 도시침수 해석 모형인 CA-Urban을 개발하고, 미국 Oregon 주 북서쪽에 위치한 Portland시의 도심지역에 대해 침수해석의 적용성을 평가한다. 세부적으로는, 기존 셀룰러 오토마타 기반 침수해석알고리즘의 수치 진동(Oscillation) 문제에 대한 원인을 분석하고, 안정성 향상 방법인 셀 간 최대유량 제한, 가중치 적용 기법, 모형의 계산 효율성 향상을 위한 최적 적응 시간 단계 기법(Adaptive time step)의 적용 결과를 소개한다. 또한, 침투 및 증발산 등 물순환 요소 해석 모듈의 개발 성과 및 방향에 대해서 토의한다.

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ROCHE CONFIGURATIONS OF TWO NEAR-CONTACT BIN ARIES: DO CAS AND SW LYN (근접촉쌍성 DO Cas와 SW Lyn의 로쉬 모형)

  • 김호일;이우백;성언창;경재만;윤재혁
    • Journal of Astronomy and Space Sciences
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    • v.16 no.2
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    • pp.209-216
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    • 1999
  • Light curves of two near-contact binaries DO Cas and SW Lyn are analyzed to investigate their Roche configurations. We made new BVR observations for DO Cas and employed the published observation data for SW Lyn. Our four night observations for DO Cas were secured over 8 days so that the contamination by the intrinsic light variation is minimized. Based on the WD model, we found that DO Cas could be classified as a near-contact binary, while SW Lyn is better described by semi-detached configuration. Furthermore it is also possible to classify DO Cas as a contact binary. It appears that there are ambiguities in the class of near-contact configuration, and further observations and re-analysis are required to establish the near-contact nature of binary systems.

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Modeling the Spatial Dynamics of Urban Green Spaces in Daegu with a CA-Markov Model (CA-Markov 모형을 이용한 대구시 녹지의 공간적 변화 모델링)

  • Seo, Hyun-Jin;Jun, Byong-Woon
    • Journal of the Korean Geographical Society
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    • v.52 no.1
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    • pp.123-141
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    • 2017
  • This study predicted urban green spaces for 2020 based on two scenarios keeping or freeing the green-belt in the Daegu metropolitan city using a hybrid Cellular Automata(CA)-Markov model and analyzed the spatial dynamics of urban green spaces between 2009 and 2020 using a land cover change detection technique and spatial metrics. Markov chain analysis was employed to derive the transition probability for projecting land cover change into the future for 2020 based on two land cover maps in 1998 and 2009 provided by the Ministry of Environment. Multi-criteria evaluation(MCE) was adopted to develop seven suitability maps which were empirically derived in relation to the six restriction factors underlying the land cover change between the years 1998 and 2009. A hybrid CA-Markov model was then implemented to predict the land cover change over an 11 year period to 2020 based on two scenarios keeping or freeing the green-belt. The projected land cover for 2009 was cross-validated with the actual land cover in 2009 using Kappa statistics. Results show that urban green spaces will be remarkably fragmented in the suburban areas such as Dalseong-gun, Seongseo, Ansim and Chilgok in the year 2020 if the Daegu metropolitan city keeps its urbanization at current pace and in case of keeping the green-belt. In case of freeing the green-belt, urban green spaces will be fragmented on the fringes of the green-belt. It is thus required to monitor urban green spaces systematically considering the spatial change patterns identified by this study for sustainably managing them in the Daegu metropolitan city in the near future.

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