• Title/Summary/Keyword: Railway Noise Environment

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A Study on the Sound Insulation Performance of the Composite Panel for Railroad Vehicle (철도차량용 복합 내장 패널의 차음성능에 관한 연구)

  • 김봉기;김재승;황병선;이상진
    • Proceedings of the KSR Conference
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    • 2002.10a
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    • pp.182-187
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    • 2002
  • Since most of main noise sources of the railroad vehicle are transmitted to the passenger's ear through the vibration of the panel, the insulation performance of the panels should be high enough to protect the passengers from the noisy environment. Specifically, the composite materials which are generally used for reducing the weight of the vehicle compartment have the low insulation performance, noise control actions should be taken appropriately by considering the insulation performance of the panels. In this study, the insulation performances of the inner/outer panels were evaluated and the contribution of the aluminum door was estimated compared to the composite panels. The results can furnish an indepth understanding of the insulation characteristics of the panel of railroad vehicle.

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Study on Consideration Plan of Environmental Influence in Preliminary Feasibility Investigation of Railroad Work (철도사업의 예비타당성조사시 환경영향 고려방안에 관한 연구)

  • Sun, Hyo-Sung;Park, Young-Min
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.1178-1183
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    • 2006
  • This paper describes the plans of considering the environmental influences in the preliminary feasibility investigation of railroad work. Because the cost-benefit analysis method about the environmental costs by air pollution and traffic noise is mainly applied in preliminary feasibility investigation, not only the verification in the calculation method of these environmental costs but also the consideration in the environmental costs of the topographical damage and the ecosystem extinction by railroad work is needed. The environment-friendly plans in choosing the locations of the railroad route and station are also suggested, and they include (1) consideration of environment protection area, residential zone, and region with scenic beauty, (2) application of the existing railroad route and station, and (3) railroad route parallel to another traffic facility.

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A Study on the Development of Next Generation EMU improved Ride Quality and M (승차감 및 유지보수성이 향상된 차세대 전동차 개발에 관한 연구)

  • Lee Woo-Dong;Kim Gil-Dong;Han Suk Youn;Park Kee-Jun;Ahn Tai-Ki;Lee Ho Yong;Shin Jeong-Ryol;Park Seo-yeong
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.1322-1324
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    • 2004
  • Lately, there is urban transit vehicles in trend that speed is increased and safety are reinforced. In the case of Japan, is developing vehicles that the electric motor of direct drive type for maintenance expense curtailment and noise decrease. It is predicted to happen the demand of EMU met new environment such as wide area railway in domestic. Furthermore, It is need the introduction of vehicles met new standard according to reinforcement of safety standard such as interior finishing material. Therefore, This paper present about the development direction of urban transit vehicles in domestic environment.

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Performance Analysis on the Impact of Mutual Interference and the Interference Suppression Method for CBTC System in the Presence of WPAN System (CBTC시스템과 WPAN시스템의 상호간섭영향 및 간섭신호 억제방안에 대한 성능분석)

  • Kim, Seong Cheol
    • Journal of the Korean Society for Railway
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    • v.15 no.5
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    • pp.454-458
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    • 2012
  • The CBTC(Communication based Train Control) and WPAN(Wireless Personal Area Network) systems employed on 2.4GHz ISM band wireless networks provide complementary service within the same environment. Coexistence between the networks will be impaired if the mutual packets are uncertainty associated the timing or gaussian distance. This paper analyzes the impact of the mutual interference and proposed method to minimize the effect of the WPAN system signals on CBTC system. The performance analysis is illustrated by examining the symbol error rate versus signal to noise interference ratio in terms of carrier frequency offset. The method contributes to reduce the symbol error rate drastically. However it can't be a fundamental solution for the impact on the interference problem. It may be needed for railway only frequency after checking the problems of the current railway frequency.

Environmental Benefit Analysis for Railroad-related Projects (철도관련 사업에서의 환경편익 고려방안)

  • Nam, Doo-Hee;Huh, Hyun-Mu;Lee, Jin-Sun
    • Journal of the Korean Society for Railway
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    • v.15 no.2
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    • pp.179-184
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    • 2012
  • Environmental impact is getting more attention in many feasibility studies for railroad-related projects and research items. For sustainable growth and green transportation, the benefits typically used for feasibility studies in railway-related projects, are composed mostly of economic criterions which is not considering growing attention on changing paradigm. Based on the analysis of current methodologies, improvements in estimating environmental impact especially on noise and pollution are suggested. Active steering bogie has been proposed to satisfy stabilizing and steering performance of railroad. This paper describes the feasibility study of the active steering bogie for a urban railway vehicle based on environment-related criteria.

Study for Progress Rate of Standard Deviation of Irregularity Based on Track Properties for the Railway Track Maintenance Cycle Analysis (궤도 유지보수 주기 예측을 위한 구간 특성에 따른 궤도틀림 표준편차 진전정도 분석)

  • Jeong, Min Chul;Kim, Jung Hoon;Lee, Jee Ha;Kang, Yun Suk;Kong, Jung Sik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.3
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    • pp.31-40
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    • 2012
  • The irregularity of railway track affects not only the comfort of ride such as noise or vibration but also the safety of train operation. For this reason, it is an interesting research area to design a reliable and sustainable railway track system and to analyze the train movement mechanism based on systematic approaches considering reasons of track irregularity possible in a specific local environment. Irregularity data inspected by EM-120, an railway inspection system in Korea includes unavoidable incomplete and erratic information, so it is encountered lots of problem to analyse those data without appropriate pre-data-refining processes. In this research, for the efficient management and maintenance of railway system, progress rate of standard deviation of irregularity is quantified. During the computation, some important components of railways such as rail joint, ballast, roadbed, and fastener have been considered. Probabilistic distributions of irregularity growth with respect to time are computed to predict the remaining service life of railway track and to be adapted for the safety assessment.

Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events (철도 궤도의 이상상황 예방을 위한 영상처리와 딥러닝을 융합한 지능형 철도 레일 탐지 알고리즘)

  • Jung, Ju-ho;Kim, Da-hyeon;Kim, Chul-su;Oh, Ryum-duck;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.21 no.4
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    • pp.109-116
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    • 2020
  • With the advent of high-speed railways, railways are one of the most frequently used means of transportation at home and abroad. In addition, in terms of environment, carbon dioxide emissions are lower and energy efficiency is higher than other transportation. As the interest in railways increases, the issue related to railway safety is one of the important concerns. Among them, visual abnormalities occur when various obstacles such as animals and people suddenly appear in front of the railroad. To prevent these accidents, detecting rail tracks is one of the areas that must basically be detected. Images can be collected through cameras installed on railways, and the method of detecting railway rails has a traditional method and a method using deep learning algorithm. The traditional method is difficult to detect accurately due to the various noise around the rail, and using the deep learning algorithm, it can detect accurately, and it combines the two algorithms to detect the exact rail. The proposed algorithm determines the accuracy of railway rail detection based on the data collected.

Classification of Transport Vehicle Noise Events in Magnetotelluric Time Series Data in an Urban area Using Random Forest Techniques (Random Forest 기법을 이용한 도심지 MT 시계열 자료의 차량 잡음 분류)

  • Kwon, Hyoung-Seok;Ryu, Kyeongho;Sim, Ickhyeon;Lee, Choon-Ki;Oh, Seokhoon
    • Geophysics and Geophysical Exploration
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    • v.23 no.4
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    • pp.230-242
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    • 2020
  • We performed a magnetotelluric (MT) survey to delineate the geological structures below the depth of 20 km in the Gyeongju area where an earthquake with a magnitude of 5.8 occurred in September 2016. The measured MT data were severely distorted by electrical noise caused by subways, power lines, factories, houses, and farmlands, and by vehicle noise from passing trains and large trucks. Using machine-learning methods, we classified the MT time series data obtained near the railway and highway into two groups according to the inclusion of traffic noise. We applied three schemes, stochastic gradient descent, support vector machine, and random forest, to the time series data for the highspeed train noise. We formulated three datasets, Hx, Hy, and Hx & Hy, for the time series data of the large truck noise and applied the random forest method to each dataset. To evaluate the effect of removing the traffic noise, we compared the time series data, amplitude spectra, and apparent resistivity curves before and after removing the traffic noise from the time series data. We also examined the frequency range affected by traffic noise and whether artifact noise occurred during the traffic noise removal process as a result of the residual difference.

A Study on Object Counting by Mixture of Gaussian and Motion Vector (가우시안 혼합 모델과 모션 벡터를 이용한 객체 계수 방법 연구)

  • Kim, Gyu-Jin;An, Tae-Ki;Shin, Jeong-Ryeol
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1161-1166
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    • 2011
  • A camera is mounted vertically downwards viewing the people heads from the top. This configuration is successful in people counting technique especially when only a few isolated people pass through a counting region in a non-crowded situation. Thus, this paper describes object counting which detects and count moving people using mixture of gaussian and motion vector. This method is intended to estimates the number of people in outdoor environment. This method use single gaussian background modeling which is more robust an noise and has adaptiveness. The experimental results that is based on mixture of gaussian and motion vector is also helpful to design intelligent surveillance.

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Joint installation of ceiling facilities in the subway system (지하철 천장시설물 공동설치 방안)

  • Lee, Pil-Sin
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1953-1959
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    • 2011
  • Subway stations have a characteristic that the facilities in the ceiling should be checked, replaced and expanded frequently. The new installation of supports (steel anchors) for new facilities and workers moving-around in the ceiling result in the damage in the ceiling finish material and concrete structure which also result in construction cost increase. In addition, the noise, vibration and dust generated during the work harm the station environment. There are civil complaints on these which give difficulty to ceiling works. Accordingly, this study suggests a ceiling frame construction method that considers the convenience, economy and efficiency of ceiling work by improving the support installation method for facilities in ceiling.

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