• 한국ITS학회 논문지
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• 제15권2호
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• pp.63-73
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• 2016

한국도로공사에서는 2012년 1월 16일부터 5월 31일까지 고속 축중기를 이용하여 경부선 195.0k(김천)과 중부내륙선 119.5k(선산) 구간에서 과적 시범단속을 실시하였다. 본 연구에서는 이를 활용하여 과적 시범단속 시행 전과 후, 각 8주의 교통량 및 평균 총중량 비교를 통해 과적단속의 실제적인 효과를 분석하고자 하였으며, 주요 결과는 다음과 같다. 첫째, 과적 시범단속 전후의 교통량 및 총중량 변화를 분석한 결과, 교통량은 시행 전과 후의 차이가 없었지만, 총중량은 감소하는 것으로 나타났다. 이는 화물 교통량이 줄어서 총중량이 줄어든 것이 아니라, 시범단속을 통해 총중량이 감소함을 의미한 것으로 과적단속의 효과가 있음을 알 수 있다. 둘째, 시행 전과 후의 주별 총 교통량 및 평균 총중량 추이를 분석한 결과, 과적단속 시작을 기점으로 급격하게 감소했다가, 다시 점차 증가하는 추이를 보이고 있었다. 이는 시범단속에 대한 풍선효과로, 향후 지속적인 과적단속이 필요함을 알 수 있다. 다만, 본 연구는 시범단속 기간에 대한 연구로 향후 장기간 교통량 및 총중량 변화에 대한 분석과 모니터링이 필요할 것으로 판단된다.

• 대한교통학회:학술대회논문집
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• 대한교통학회 1999년도 제36회 학술발표회논문집
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• pp.435-439
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• 1999

• 한국ITS학회 논문지
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• 제19권4호
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• pp.67-80
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• 2020

고속축중기는 통행 흐름의 통제나 속도의 감속 없이 주행 중인 화물차량의 중량을 실시간 무인 검측하는 시스템으로, 국내에서는 축 조작 행위방지 및 주행 중 과적행위 적발을 위해 주로 고속국도 및 일반국도 본선에 설치하여 이동단속반 검차를 위한 사전선별용으로 활용된다. 본 연구에서는 고속축중기의 중량 측정정확도를 법정 기준까지 향상시키고자 기존 적분형 및 첨두형 중량환산 알고리즘에 대한 분석을 통해 개선사항을 제시하고, 매트타입형 고속축중기에 적용할 수 있는 새로운 융합형 알고리즘을 고안하였다. 이 알고리즘을 적용하여 현장 실차 주행시험을 통한 정확도 향상 효과를 분석한 결과, 최상급의 정확도 등급을 확인할 수 있었다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2003년도 봄 학술발표회 논문집
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• pp.451-460
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• 2003

In this paper, high speed fiber optic sensor weigh-in motion (WIM) system is proposed. Bragg gratings which have several advantages such as good reproducibility and good multiplicity compare to other optical fiber sensors are used for the system. Fabry-Perot filter for the signal process, which cannot be used in the high speed measurement because of the limitation in fast operation of PZT, is excluded. A new signal processing system which employs bandwidth filter is proposed and bridge type new sensor package design is also proposed. Design of the mold supporter is modified to round shape and then supporting points do not change. The data from the fiber sensors show identical and linear behavior to the axle weight. The proposed fiber optic WIM system is tested in the laboratory and experimented with actual trucks. The new concept of calibration is introduced and calculated by the experiments. The calibrated weight data show good approximations to real axial weights regardless the velocities of the truck.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.303-303
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• 2000

It is difficult to determine the static axle weight of a vehicle with weigh-in-motion systems which in absence measure instantaneous axle impact forces. The difficulty in determining a static axle weight results from dynamic effects induced by vehicle/road interactions. One method to improve the problem is to quantify a statistical confidence level for measured axle weight. The quarter-car model is used to simulate vehicle motion, Also, the road input to vehicle model can be characterized in statistical terms by PSD (power spectral density) of appropriate amplitude and frequency contents other than an exact spatial distribution. The confidence levels for the measured axle weight can be obtained by the random process analysis using both vehicle model and road input.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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• pp.449-450
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• 2010

고속축하중측정시스템이 설치되는 구간의 포장은 소성변형이 없고 내구성이 우수해야 센서의 정확도와 측정의 반복성이 유지될 뿐만 아니라 센서가 파손되지 않고 장기간 운용될 수 있다. 따라서 본 연구에서는 중차량에 대한 저항성과 내구성이 우수한 콘크리트 포장 공법 중 균열발생이 방지되고 파손과 유지보수가 최소화 될 수 있어 WIM 시스템을 효율적으로 운영할 수 있는 포스트텐션 콘크리트 포장 공법을 시공, 현장 적용성을 평가하였다.

• 한국도로학회:학술대회논문집
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• 한국도로학회 2003년도 학술발표회 논문집
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• pp.303-310
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• 2003

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.825-830
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• 2007

For the design and maintenance of highways and road structures, the statistical data are needed for the vehicle, especially heavy truck crossing. So far, static weighing has been used but it needs fixed station, crews, and it takes a lot of time. Also truck mix and headway distances cannot be obtained. Weigh-In-Motion system uses the sensor as a weighing scale and collects the axle weights, axle distances, vehicle types and etc. without stopping or slowing down the vehicle. Objectives of the study is make a determination of WIM Sensor for Implementation of U-Overloaded Vehicle Regulation System.

• Structural Engineering and Mechanics
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• 제76권1호
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• pp.1-15
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• 2020

The aim of this paper is to simply present live load factor calculation methodology formulation with the addition of a simple new future load projection procedure to previously proposed two methods. For this purpose, Oregon Weigh-in-Motion (WIM) data were used to calculate live load factors by using WIM data. These factors were calculated with two different approaches and by presenting new simple modifications in these methods. A very simple future load projection method is presented in this paper. Using four different WIM sites with different average daily truck traffic (ADTT) volume, and all year data, live load factors were obtained. The live load factors, were proposed as a function of ADTT. ADTT values of these sites correspond to three different levels which are approximately ADTT= 5,000, ADTT = 1,500 and ADTT ≤ 500 cases. WIM data for a full year were used from each site in the calibration procedure. Load effects were projected into the future for the different span lengths considering five-year evaluation period and seventy-five-years design life. The live load factor for ADTT=5,000, AASHTO HS20 loading case and five-year evaluation period was obtained as 1.8. In the second approach, the methodology established in the Manual for Bridge Evaluation (MBE) was used to calibrate the live load factors. It was obtained that the calculated live load factors were smaller than those in the MBE specifications, and smaller than those used in the initial calibration which did not convert to the gross vehicle weight (GVW) into truck type 3S2 defined by AASHTO equivalents.

• Structural Engineering and Mechanics
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• 제20권1호
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• pp.85-110
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• 2005

This paper aims at formulating various statistical models for the study of a ten year Weigh-in-Motion (WIM) data collected from various WIM stations in Hong Kong. In order to study the bridge live load model it is important to determine the mathematical distributions of different load affecting parameters such as gross vehicle weights, axle weights, axle spacings, average daily number of trucks etc. Each of the above parameters is analyzed by various stochastic processes in order to obtain the mathematical distributions and the Maximum Likelihood Estimation (MLE) method is adopted to calculate the statistical parameters, expected values and standard deviations from the given samples of data. The Kolmogorov-Smirnov (K-S) method of approach is used to check the suitability of the statistical model selected for the particular parameter and the Monte Carlo method is used to simulate the distributions of maximum value stochastic processes of a series of given stochastic processes. Using the statistical analysis approach the maximum value of gross vehicle weight and axle weight in bridge design life has been determined and the distribution functions of these parameters are obtained under both free-flowing traffic and dense traffic status. The maximum value of bending moments and shears for wide range of simple spans are obtained by extrapolation. It has been observed that the obtained maximum values of the gross vehicle weight and axle weight from this study are very close to their legal limitations of Hong Kong which are 42 tonnes for gross weight and 10 tonnes for axle weight.