• Title/Summary/Keyword: 교통우회

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A Route Search of Urban Traffic Network using Fuzzy Non-Additive Control (퍼지 비가법 제어를 이용한 도시 교통망의 경로 탐색)

  • 이상훈;김성환
    • Journal of Korean Society of Transportation
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    • v.21 no.1
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    • pp.103-113
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    • 2003
  • This paper shows alternative route search and preference route search for the traffic route search, and proposes the use of the fuzzy non-additive controller by the application of AHP(analytic hierarchy process). It is different from classical route search and notices thinking method of human. Appraisal element, weight of route is extracted from basic of the opinion gathering for the driving expert and example of route model was used for the finding of practice utility. Model evaluation was performed attribute membership function making of estimate element, estimate value setting, weight define by the AHP, non additive presentation of weight according to $\lambda$-fuzzy measure and Choquet fuzzy integral. Finally, alternative route search was possible to real time traffic route search for the well variable traffic environment, and preference route search showed reflection of traffic route search disposition for the driver individual. This paper has five important meaning. (1)The approach is similar to the driver's route selection decision process. (2)The approach is able to control of route appraisal criteria for the multiple attribute. (3)The approach makes subjective judgement objective by a non additive. (4)The approach shows dynamic route search for the alternative route search. (5)The approach is able to consider characteristics of individual drivers attributed for the preference route search.

녹색교통운동-보금자리만들기프로젝트

  • Korea LPGas Industry Association
    • LP가스
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    • v.19 no.6
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    • pp.40-42
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    • 2007
  • 사단법인 녹색교통운동은 1993년부터 교통.환경분야에서 친환경적인 교통의 실현을 위해 활동해 왔으며, 경유가격인상과 LPG가격을 인하하는 성공적인 에너지세제개편완료와 경유자동차 증가억제, 경차연료의 LPG허용 등 그동안 우리 LPG업계의 중대 사안이 있을 때마다 많은 도움을 주고 있는 단체 입니다. (사)녹색교통운동은 2008년 창립15주년을 맞아 한국여성민우회, 함께하는시민행동, 환경정의와 함께 4단체가 "보금자리마련 프로젝트"를 진행하고 있으며, 동 프로젝트를 진행하면서 후원금모금 행사를 실시하고 있습니다. 동 단체의 "보금자리마련 프로젝트"에 회원사들의 많은 참여 바라며 각별한 관심과 협조바랍니다.

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A Study on Developing Discriminant Model for VMS installation Considering Human Factors (고속도로 유출지점 경로안내용 도로전광표지의 설치위치 산정방안에 관한 연구)

  • Kim, Tae-Ho;Lee, Yong-Taeck;Do, Hwa-Yong;Won, Jai-Moo
    • International Journal of Highway Engineering
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    • v.10 no.2
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    • pp.101-113
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    • 2008
  • VMS are installed in many Korean highways in oder to give drivers informations such as travel time to destination, congestion and Incident situation. However, some guidelines for install VMS are restricted in only geometric factors although human factors considering driver behavior are very important to affect the VMS installation. Therefore, this paper are focusing on developing and verifying the discriminant model for VMS installation considering human factors. As a result, following outputs are obtained ; (1) developing the discriminant model using human factors of driving simulation experiments in oder to predict driver reading VMS messages safely detour highway. (2) proving that driving experiences in highway, personal driving history, vehicle speed orderly affects VMS installation (3) verifying predictability of developed model by comparing the real values with predicted values. (4) suggesting that VMS should be installed off 3.2Km from the I.C. of rural highway.

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Drivers Detour Decision Factor Analysis with Combined Method of Decision Tree and Neural Network Algorithm (의사결정나무와 신경망 모형 결합에 의한 운전자 우회결정요인 분석)

  • Kang, Jin-Woong;Kum, Ki-Jung;Son, Seung-Neo
    • International Journal of Highway Engineering
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    • v.13 no.3
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    • pp.167-176
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    • 2011
  • This study's purpose is to analyse factors of determination about detouring for makinga standard model in regard of unfavorableness and uncertainty when unspecified individual recipients make a decision at the time of course detour. In order to achieve this, we surveyed SP investigation whether making a detour or not for drivers as a target who take a high way and National highway. Based on this result, we analysed detour determination factors of drivers, establishing a combination model of Decision Tree and Neural Network model. The result demonstrates the effected factors on drivers' detour determination are in ordering of the recognition of alternative routevs, reliable and frequency of using traffic information, frequency of transition routes and age. Moreover, from the outcome in comparison with an existing model and prediction through undistributed data, the rate of combination model 8.7% illustrates the most predictable way in contrast with logit model 12.8%, and Individual Model of Decision Tree 13.8% which are existed. This reveals that the analysis of drivers' detour determination factors is valid to apply. Hence, overall study considers as a practical foundation to make effective detour strategies for increasing the utility of route networking and dispersion in the volume of traffic from now on.

Research on a Centralized Traffic Information System (중앙집중형 교통정보 시스템에 관한 연구)

  • 석현우;한민홍
    • Journal of Korean Society of Transportation
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    • v.16 no.4
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    • pp.127-138
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    • 1998
  • 본 논문에서는 기존의 교통정보 시스템의 단점을 보완하는 중앙집중형 교통정보 시스템의 구축에 관하여 설명한다. 이 시스템은 중앙의 교통정보센터에서 전자지도 및 교통정보를 관리한다. 따라서, 사용자는 전자지도 및 교통정보 갱신의 필요가 없어지며, 교통정보 수신장치를 통해서 경로 정보를 원하는 시기에 제공받는다. 교통정보 수신장치는, 휴대용 노트북과 개인휴대 통신기기인 Cellular Phone이나 PCS Phone이 결합된 형태로 구현함으로서 대중적으로 널리 보급될 수 있는 교통정보시스템을 구축한다. 본 논문에서는 정확한 교통정보의 생성을 위하여 실시간 교통정보를 저장하는 새로운 교통데이터베이스의 구조를 제시하고 직진,우회전,좌회전,유턴 차량의 흐름을 모두 표현할 수 있는 새로운 교통 네트워크 모델을 제시한다. 많은 수의 노드와 아크로 이루어진 교통 네트워크 내에서, 경로계획 시간이 길어지는 문제 해결 방법으로 전체를 여러 개의 지역으로 나누는 방법을 제시하고, 각 지역 내의 경로계획에는 교통데이터베이스를 참조하는 Dijkstra 알고리즘을 사용한다.

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Indirect Cost Effects on Life-Cycle-Cost Effective Optimum Design of Steel Box Girder Bridge (강상자형교의 LCC 최적설계에 미치는 간접비용의 영향)

  • Lee, Kwang Min;Cho, Hyo Nam;Cha, Chul Jun;Eom, In Su
    • Journal of Korean Society of Steel Construction
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    • v.17 no.2 s.75
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    • pp.115-130
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    • 2005
  • This paper presents the effects of indirect costs on Life-Cycle-Cost(LCC) effective optimum design of steel-box girder bridges. The LCC formulations considered in the LCC optimization of the bridges consist of initial cost and expected rehabilitation costs including repair/replacement costs, loss of contents or fatality and injury losses, and indirect costs such as road user costs and indirect socio-economic losses. To demonstrate the LCC-effectiveness for optimum design of the bridges, an actual steel box girder bridge having two continuous spans(2@50m=100m) is considered as a numerical example. And also, in this paper, various sensitivity analyses are performed to investigate the effects of indirect costs caused by traffic conditions such as number of detour route, number of lane on detour route, length of detour route, and traffic volumes on the LCC-effective optimum design. From the numerical investigations, it may be concluded that indirect costs caused by traffic network may sensitively influence on the LCC-effective optimum design of steel-box girder bridges. Therefore, it may be stated that the traffic conditions should be considered as one of the important items in the LCC-effective optimum design of the bridges.

딥러닝을 이용한 VTS 주의구역 선박교통류 예측 모델(STENet) 개발

  • Kim, Gwang-Il;Kim, Ju-Seong;Jeong, Cho-Yeong;Lee, Geon-Myeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.275-277
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    • 2018
  • 선박 및 해상교통관제에 있어서 교통 혼잡구역에 대한 선박교통밀도 예측은 선박충돌사고 예방에 중요하다. 선박 교통밀도 예측정보는 사전에 진입하는 선박들에게 속력조정, 우회항로 이용 등 사전 조치가 가능하다. 본 연구에서는 해상 선박교통상황을 딥러닝 네트워크에 학습한 주의구역 선박교통류 예측 모델(Ship Traffic Extraction Network, STENet)을 제안하여 주의구역의 선박교통류 예측을 수행하고자 한다. STENet 모델 학습을 위해 여수해역 AIS 데이터를 전처리하고, 생성된 입력(해상교통상황)-출력(주의구역 교통밀도) 쌍 데이터를 적용하여 STENet 모델을 학습하였다. 학습된 모델을 이용하여 선박교통류 예측을 한 결과, 중기예측은 표준 절대 오차(mean absolute error)가 0.4-0.5척이 였으며, 장기예측은 0.7-0.8척의 오차로 기존의 Dead Reckoning에 의한 방법보다 50% 이상 교통밀도 예측성능이 향상 되었다.

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The Development of Operating Standards for the Adjustment of Pedestrian Green Phasing at a Signalized Intersection (신호교차로에서 보행자신호 전시간 운영기준 설정을 위한 연구)

  • Lee Choul-Ki;Lee Seok;Shim Dae-Young;Kim Gyun-Jo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.2 no.1 s.2
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    • pp.41-52
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    • 2003
  • The purpose of this study was to test the effects of the pedestrian green signal adjustment on clearance of the turning vehicles impeding the through traffic flow at the signalized intersections, and thereby, suggest some operational criteria for adjustment of the pedestrian green signal. In order to test such effects, the pedestrian green time was adjusted so that it could started a few seconds later than the vehicle green time during peak hours, and thereby, the turning vehicle volume not cleared at the intersection was measured by extending the time gap by 2 seconds. (In general, the pedestrian green signal turns on at the same time as the vehicle green signal.) The results of this test can be summed up as follows; first, the longer the time gap was, the turning vehicle volume not cleared from the intersection decreased more. Second, in case there existed a storage space between intersection and crosswalk the effect of the turning vehicles on the through traffic flows was minimal. Third, at the pelican, the effect of the turning vehicles on the through traffic flow was minimal due to the structure of the intersection and the phase sequence. In conclusion, it was found that the adjustment of pedestrian green signal had the effect of enhancing the intersection operation. When adjusting the pedestrian green signal, it was deemed necessary to thoroughly survey the geometric structure of the intersection and collect the data on the turning traffic volume and thereby, apply the results of analysis flexibly to each intersection.

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Very Large Database Construction for Historical Traffic Data (교통 이력 자료를 위한 대용량 데이터베이스 구축)

  • Song, Sookyung;Cheong, Sujeong;Lee, Minsoo;Namgung, Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.11a
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    • pp.290-292
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    • 2007
  • 현재 한국도로공사에서 운영하는 고속도로 교통관리시스템(FTMS)과 우회도로 교통정보시스템(ARTIS)은 차량 검지 장치와 CCTV 를 통해 실시간 교통 자료를 수집하고, 도로전광표지(VMS), 방송, 인터넷 등 다양한 매체로 교통 정보를 제공하는 시스템이다. 이러한 시스템들은 매일 도로에서 수집되는 엄청난 양의 교통 자료를 실시간 교통 정보 제공하는데 목적을 두고 있어, 교통 자료를 가공하고 처리하여 분석을 수행하는 연구 환경을 제공하는데 어려움이 많다. 본 논문에서는 여러 시스템으로부터 대용량의 교통 자료를 가져와 하나의 통합 데이터베이스로 구축하고, 이를 통해 얻은 교통 이력 자료를 연구할 수 있는 환경을 제안한다.

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