• Title/Summary/Keyword: Traffic estimation

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Prediction of Reduction of Traffic(Railroad) Noise using Soundproof Tunnel in a high-rise apartment building (고층 주거지역에서 터널형 철도 방음 시설의 소음 저감 예측)

  • 김준엽;나희승;엄기영;조준호
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.843-848
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    • 2001
  • Railroad noise is one of the main causes of environmental impact. Whenever a new railroad line is planned or a housing project near an existing railroad is proposed, an estimate of the relevant noise levels is usually required. For this, it is necessary to quantify those parameters that affect the railroad noise. This paper deals with an estimation of railroad noise using soundproof tunnel in a high-rise apartment building

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Fuzzy-AHP Estimation Technique for Korea High Speed Railway Safety Management (F-AHP평가수법을 적용한 고속전철 안전성의 평가)

  • 박태근;박춘수;서승일
    • Proceedings of the KSR Conference
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    • 2003.10a
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    • pp.192-198
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    • 2003
  • Railway is huge traffic system which is operated organically combining all the elements; vehicle, track, electric power, signal/communication, operation, etc. Safety level has been improved steadily by learning lessons from past accident. But with rapid progress in high-speed, massive, high-frequency transit fresh idea of accident prevention is now in order. In quest of effective and efficient countermeasure, we aim to establish an adequate safety evaluation/management method. Our proposals are basic concept relating to safety analysis of fatal accidents, AHP of Saaty, Fuzzy AHP.

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Estimation of the Minimum Transportation Demand for LRT Project (경량전철 사업시행을 위한 최소 수송수요 추정연구)

  • Kim Hyun-Woong
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.884-888
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    • 2005
  • The interests of the government and civil business owner against the Light rail transit are increasing, it may be caused by the enterprise conception which does not consider a city circumstance that the construction plan is insensitively performed. This article present the forecast method of minimum transportation demand which secures a profitability. If It is in advance investigated the number of passenger using the existing traffic system of the area, it will be possible that the LRT project is planned on a realistic basis.

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Estimation of Cognition Model considering Fuzziness of Car-Following Cognitive Information (차간거리인지정보의 애매성을 고려한 인지모델 추정)

  • 남궁문;정이균;김경태;서승환
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10b
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    • pp.159-164
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    • 1995
  • Driving maneuver in car following are affected by not only the factors related to road structure and traffic condition, but also the factors related to driver's cognition to them. So the aim of this research this to model the relation of driver's cognition for car-following distance considering driver's fuzziness for imformation cognition, As a result, driver's cognition of car-following distance model with fuzzy number is proposed. The 'width', which characterizes the fuzzy number can introduce car-following informtion into the model.

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Analysis of Velocity Adaptive Handoff Algorithm (속도적응 핸드오프 알고리즘 분석)

  • 김영일;진용옥
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.748-760
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    • 1997
  • The handoff failure probability has to be enhanced efficiently to enhance the performance of PCS system. In this paper a new scheme called velocity adaptive handoff algorithm for reducing handoff failure probability and maintaining the carried traffic constantly in PCS systems, by assigning low handoff threshold value for high mobility calls, and assigning high handoff threshold value for low mobility calls, is presented. The performance of evaluation of this new scheme is carried out in terms of tranffic characteristics. Also velocity estimation algorithm for this new scheme is presented. According to the result, the handoff failure probability of velocity adaptive handoff algorithm is enhanced about 60%.

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Estimation of Natural Period by Microtremor Measurement in Shearwall Apartments. (상시미동 측정을 통한 벽식아파트 건물의 고유주기)

  • 강호근
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1999.10a
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    • pp.375-382
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    • 1999
  • The fundamental vibration period of a shearwall apartments cannot estimate accurately by means of empirical formulas specified in present codes, The objective of this paper is to estimate the period of a shearwall apartments by microtremor measurement. A micretremor is the continuous small oscillation of the ground cause by traffic and operation machinery. Microtremors are extensively studied primarily in Japan to estimate conveniently subsurface structures of soil deposits and building vibrations. It is obtained the results that the fundamental periods estimated by microtremor measurement are shorter than those values by dynamic analysis of building.

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A DS-UWB Radar System Based on Correlation Accumulation (상관값 누적 기반 DS-UWB 레이더 시스템)

  • Lee, Youngpo;Yoon, Seokho;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.4
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    • pp.359-364
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    • 2013
  • In this paper, we propose a direct sequence ultra wideband (DS-UWB) radar system based on correlation accumulation in the fields of the ship traffic control and the safe ship operation including docking guidance systems. The proposed DS-UWB radar system averages out the noise by accumulating correlator outputs, and thus, provides a reliable distance estimation performance with a shorter estimation time compared with conventional DS-UWB radar systems. From numerical results, it is confirmed that the proposed DS-UWB radar system has not only a shorter average correlation processing time, but also a better distance estimation performance.

Improvement of Multivariable, Nonlinear, and Overdispersion Modeling with Deep Learning: A Case Study on Prediction of Vehicle Fuel Consumption Rate (딥러닝을 이용한 다변량, 비선형, 과분산 모델링의 개선: 자동차 연료소모량 예측)

  • HAN, Daeseok;YOO, Inkyoon;LEE, Suhyung
    • International Journal of Highway Engineering
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    • v.19 no.4
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    • pp.1-7
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    • 2017
  • PURPOSES : This study aims to improve complex modeling of multivariable, nonlinear, and overdispersion data with an artificial neural network that has been a problem in the civil and transport sectors. METHODS: Deep learning, which is a technique employing artificial neural networks, was applied for developing a large bus fuel consumption model as a case study. Estimation characteristics and accuracy were compared with the results of conventional multiple regression modeling. RESULTS : The deep learning model remarkably improved estimation accuracy of regression modeling, from R-sq. 18.76% to 72.22%. In addition, it was very flexible in reflecting large variance and complex relationships between dependent and independent variables. CONCLUSIONS : Deep learning could be a new alternative that solves general problems inherent in conventional statistical methods and it is highly promising in planning and optimizing issues in the civil and transport sectors. Extended applications to other fields, such as pavement management, structure safety, operation of intelligent transport systems, and traffic noise estimation are highly recommended.

Missing Data Estimation for Link Travel Time (차량 결측속도정보 추정에 관한 연구)

  • Yoon, Won-Sik;Jung, Hee-Cheol
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.101-107
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    • 2008
  • Traffic speed data may be missed due to detector malfunction or network problems. In this paper we have proposed effective methods to estimate the data which could not be collected through loop detectors. Our proposed algorithm has three steps. First step is to find the most similar neighbor data record by coefficient of correlation. Second step is to make some data records which is calculated by the 5 kinds of estimation methods. Third step is to compare the data records with history data record of observation link and thus the best method is selected. The proposed method is useful for estimating travel time.

A Study on the Environment-friendly Quality Evaluation of High-rise Residential Architecture in Korea by Environment-friendly Certification (친환경 인증 제도를 통한 국내 초고층 주거건축의 친환경성 평가 연구)

  • Kim, Ja Kyung
    • KIEAE Journal
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    • v.8 no.2
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    • pp.31-40
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    • 2008
  • As horizontal expansion of a city reaches the uppermost limit, on the ground of perpendicular expansion and efficiency of land use, skyscrapers go on increasing in number. However, skyscrapers which were newly built in Korea have many problems such as consumption of enormous amounts of energy, destruction of natural environment, and traffic jam. And from now on, environment-friendly development of skyscraper is urgently needed. Therefore, in this study, we tried to find the planning elements and estimation indexes to improve the environment-friendly quality of high-rise residential architecture by investigating environment-friendly skyscraper certification in Korea and the other countries. For that reason, we investigated the application ratios of 10 cases in Korea. And the results showed that the application ratios of environment-friendly estimation indexes were lower than 50% and the environment-friendly quality of skyscrapers in Korea was generally low. Therefore, based on these planning elements and estimation indexes, we tried to establish the guideline of improvement direction for environment-friendly development of high-rise residential architecture in Korea.