• Title/Summary/Keyword: 주기적인 보행

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A Signal Optimization Model Integrating Traffic Movements and Pedestrian Crossings (차량과 보행자 동시신호최적화모형 개발 연구)

  • Shin, Eon-Kyo;Kim, Ju-Hyun
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.131-137
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    • 2004
  • Conventional traffic signal optimization models assume that green intervals for pedestrian crossings are given as exogenous inputs such as minimum green intervals for straight-ahead movements. As the result, in reality, the green intervals of traffic movements may not distribute adequately by the volume/saturation-flow of them. In this paper, we proposed signal optimization models formulated in BMILP to integrate pedestrian crossings into traffic movements under under-saturated traffic flow. The model simultaneously optimizes traffic and pedestrian movements to minimize weighted queues of primary queues during red interval and secondary queues during queue clearance time. A set of linear objective function and constraints set up to ensure the conditions with respect to pedestrian and traffic maneuvers. Numerical examples are given by pedestrian green intervals and the number of pedestrian crossings located at an arm. Optimization results illustrated that pedestrian green intervals using proposed models are greater than those using TRANSYT-7F, but opposite in the ratios of pedestrian green intervals to the cycle lengths. The simulation results show that proposed models are superior to TRANSYT-7F in reducing delay, where the longer the pedestrian green interval the greater the effect.

Applicability of Emergency Preemption Signal Control under UTIS (UTIS를 이용한 긴급차량 우선신호 제어방안)

  • Park, Soon-Yong;Kim, Dong-Nyong;Kim, Myung-Soo;Lee, Jung-Beom
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.5
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    • pp.27-37
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    • 2012
  • Even thought the firefighters have to hurry to the scene to extinguish the blaze, the fire engines could not rushed out due to the worst of traffic condition. Traffic signal control is one of the most important methods to minimize the fire engines's travel time. The focus of this paper is to develop a traffic control strategy, which is emergency vehicle preemption algorithm considering pedestrian in order to reduce travel time of emergency vehicle. This algorithm also includes recovering strategy after preemption signal to minimize the other vehicle's delay. In order to estimate the effectiveness of traffic control, traffic simulation was performed using VISSIM micro simulation tool for two different kinds of networks, which were non-coordinated corridor and coordinated corridor. The differences of travel time and average delay between emergency vehicle and ordinary vehicle were respectively estimated under pre-existed pretimed signal and preemption traffic control at two respective networks. The results of the simulation for the emergency vehicle, travel time was reduced to 36.8~43.3% under "Add or Subtract" method whereas it was reduced to 30.7~46.0% under "Dwell" method. In addition, in non-coordinated corridor case of ordinary vehicle, average control delay of "Dwell" method was increased 33.5% whereas it grew 0.5% under coordinated corridor. And "Add or Subtract" method was confirmed that average control delay of ordinary vehicle was increased 0.7% under non-coordinated corridor whereas it swelled 4.5% under coordinated corridor.

Development of a deep-learning based automatic tracking of moving vehicles and incident detection processes on tunnels (딥러닝 기반 터널 내 이동체 자동 추적 및 유고상황 자동 감지 프로세스 개발)

  • Lee, Kyu Beom;Shin, Hyu Soung;Kim, Dong Gyu
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.6
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    • pp.1161-1175
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    • 2018
  • An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

The Actual State of the Creation and Management of Public Open Spaces of Major Buildings - Focused on Daegu-City - (대형건축물 공개공지의 조성 및 관리실태 분석 - 대구시를 대상으로 -)

  • Eom, Boong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.6
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    • pp.36-45
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    • 2011
  • Public open space(Gong-Gae-Gong-Ji) is an important part of the open-space system in an urban environment. Though part of the private sector, it has a significant public function as there are as always open to the free use of every citizen for rest and amenities. A field survey of the public open space of 71 major buildings was carried out to investigate the actual state of public open spaces in the city of Daegu. As a result of this investigation, several point of issues were discussed. In distribution by 'Gu', newly-emerging sub-centers of Daegu-City, such as Bug-Gu and Dalseo-Gu as well as downtown area have many public open spaces. By the use type of buildings, retail buildings such as shopping centers and SSM account for36.6%, business buildings21.1%, and residential and commercial complexes 15.5%, respectively. Location wise, the front areas accounted for the greatest amount(42.9%) with 1 in side area(20%), and 2 in the front/side area(20%), respectively. Degree of division was 1 spot type(45.7%), 2 division type(35.7%). The misuse of public open space for private use, such as shopping and parking lots, was26.6%. On the basis and analysis of the actual status, 6 improvement devices for public open spaces were suggested: 1) The improvement of the legal regulative system, 2) the establishment of design guidelines and strengthening of deliberation, 3) administrative and financial support, 4) periodic supervision and guidance, 5) installment of signs that shows the space is open for use to every citizen, and 6) the participation of citizens in management of public open space.

The Study on the Effects of Hospice Care on the Pain Management of the Terminal Cancer Patients (호스피스간호가 말기암환자의 통증에 미치는 효과에 관한 연구)

  • Yoon, Mae-Ok
    • Journal of Hospice and Palliative Care
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    • v.6 no.1
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    • pp.34-44
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    • 2003
  • Purpose : The purpose of this study was to elucidate the effects of hospice care on pain management of the terminal cancer patients. Method : The subjects of the study were 37 terminal cancer patients hospitalized in the general hospital in JeonJu with the hospice care nit. The data were collected using the questionaire with interviews from July to Nov. in 2000. The severity and interference of pain were examined with the self reported survey based on the Korean version of Brief Pain Inventory (BPI-K). The data were analyzed with the mean, SDs, paired t-test. The hospice care to provide for three weeks. Results : 1) The mean scores of the worst pain for the last 24-hours measured with the pain severity of BPI-K were pre-intervention (6.35) and post (4.76). The pain interference of BPI-K in pre-intervention was enjoy (8.22), work (7.46), walk (7.08) and activity (7.08), while post was of enjoy (6.62), work (6.43), walk (6.11) and activity (5.78), respectively. 2) In pain severity, significant difference was found between the pre-intervention and post in all of followings. - worst pain for last 24 hours (t=4.085, P=.000) - least pain for last 24 hours (t=4.020, P=.000) - average pain for last 24 hours (t=4.254, P=.000) - pain right now (t=4.017, P=.000) 3) In pain interference, significant difference was found between the pre- intervention and the post in all of followings. - activity (t=3.137, P=.003) - mood (t=6.713, P=.000) - walk (t=2.027, P=.050) - work (t=2.132, P=.040) - relate (t=4.143, P=.000) - sleep (t=4.071, P=.000) - enjoy (t=3.881, P=.000) Conclusion : The terminal cancer patients who were offered hospice care had significantly lower hospice care pain and pain interference than those without hospice care. According to these results, hospice care can be regarded as an effective modality in relief of pain in the terminal ill-patients.

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Automatic Change Detection Based on Areal Feature Matching in Different Network Data-sets (이종의 도로망 데이터 셋에서 면 객체 매칭 기반 변화탐지)

  • Kim, Jiyoung;Huh, Yong;Yu, Kiyun;Kim, Jung Ok
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_1
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    • pp.483-491
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    • 2013
  • By a development of car navigation systems and mobile or positioning technology, it increases interest in location based services, especially pedestrian navigation systems. Updating of digital maps is important because digital maps are mass data and required to short updating cycle. In this paper, we proposed change detection for different network data-sets based on areal feature matching. Prior to change detection, we defined type of updating between different network data-sets. Next, we transformed road lines into areal features(block) that are surrounded by them and calculated a shape similarity between blocks in different data-sets. Blocks that a shape similarity is more than 0.6 are selected candidate block pairs. Secondly, we detected changed-block pairs by bipartite graph clustering or properties of a concave polygon according to types of updating, and calculated Fr$\acute{e}$chet distance between segments within the block or forming it. At this time, road segments of KAIS map that Fr$\acute{e}$chet distance is more than 50 are extracted as updating road features. As a result of accuracy evaluation, a value of detection rate appears high at 0.965. We could thus identify that a proposed method is able to apply to change detection between different network data-sets.

Queue Length Based Real-Time Traffic Signal Control Methodology Using sectional Travel Time Information (구간통행시간 정보 기반의 대기행렬길이를 이용한 실시간 신호제어 모형 개발)

  • Lee, Minhyoung;Kim, Youngchan;Jeong, Youngje
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.1
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    • pp.1-14
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    • 2014
  • The expansion of the physical road in response to changes in social conditions and policy of the country has reached the limit. In order to alleviate congestion on the existing road to reconsider the effectiveness of this method should be asking. Currently, how to collect traffic information for management of the intersection is limited to point detection systems. Intelligent Transport Systems (ITS) was the traffic information collection system of point detection method such as through video and loop detector in the past. However, intelligent transportation systems of the next generation(C-ITS) has evolved rapidly in real time interval detection system of collecting various systems between the pedestrian, road, and car. Therefore, this study is designed to evaluate the development of an algorithm for queue length based real-time traffic signal control methodology. Four coordinates estimate on time-space diagram using the travel time each individual vehicle collected via the interval detector. Using the coordinate value estimated during the cycle for estimating the velocity of the shock wave the queue is created. Using the queue length is estimated, and determine the signal timing the total queue length is minimized at intersection. Therefore, in this study, it was confirmed that the calculation of the signal timing of the intersection queue is minimized.

Water Quality and Hydrochemistry of Natural Springs and Community Wells in Daejeon Area (대전지역 자연샘물 및 공동우물의 수질 및 수리화학적 특성)

  • 정찬호;박충화;이광식
    • Economic and Environmental Geology
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    • v.35 no.5
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    • pp.395-406
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    • 2002
  • The sixty natural springs and community wells used as a drinking water in the Daejeon area are mainly located at the parks and the natural green districts. The purpose of this study is to investigate the characteristics of water quality and the contamination of the springs and the wells, and to suggest the management strategy for the springs and wells. For this study, we undertook water quality data from Daejeon City. According to the statistic analysis of water quality data, unacceptable rate as a drinking water was about 28 percent in 1999 and 24.5 percent in 2000, respectively. Major unacceptable factor is coliform, and others are bacteria, yersinia, color, turbidity, Fe and F. The unacceptable rate shows a roughly positive relationship with precipitation, that is, it shows highest rate during a rainy season between June and September. The major contamination source is likely to be the excrement of wild animals around natural springs and wells. Most of springs are vulnerable to the contamination of coliform and bacteria because of short residence time and shallow circulation in subsurface environment. The water samples collected from 31 springs or wells show weak acidic pHs, the electrical conductivity ranging from 63 to 357 $\mu\textrm{S}$/cm, and the hydrochemical types of Na(Ca)-HC0$_3$ and Ca-HC0$_3$. The groundwater samples of low total dissolved solid(TDS) belong to Na(Ca)-HC0$_3$. type, and the groundwater of high total dissolved solid is shifted towards Ca-HC0$_3$ type in the chemical composition. These hydrochemical characteristics indicate that most natural springs is in the early stage of geochemical evolution. The natural springs should be closed during a rainy season, which shows a high contamination rate. We suggest that a protection barrier around the springs should be built to keep wild animals away from the springs.