• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.2
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• pp.52-62
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• 2013

Design Hourly Factor(DHF) is defined as the ratio of design hourly volume(DHV) to Average Annual Daily Traffic(AADT). Generally DHV used the 30th rank hourly volume. But this case DHV is affected by holiday volumes so the road is at risk for overdesigning. Computing K factor is available for counting 8,760 hour traffic volume, but it is impossible except permanent traffic counts. This study applied three method to make DHF, using 30th rank hourly volume to make DHF(method 1), using peak hour volume to make DHF(method 2). Another way to make DHF, rank hourly volumes ordered descending connect a curve smoothly to find the point which changes drastic(method 3). That point is design hour, thus design hourly factor is able to be computed. In addition road classified 3 type for national highway using factor analysis and cluster analysis, so we can analyze the characteristic of DHF by road type. DHF which was used method 1 is the largest at any other method. There is no difference in DHF by road type at method 2. This result shows for this reason because peak hour is hard to describe the characteristic of hourly volume change. DHF which was used method 3 is similar to HCM except recreation road but 118th rank hourly volume is appropriate.

• Journal of Korean Society of Transportation
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• v.15 no.3
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• pp.93-109
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• 1997

현재 사용되고 있는 신호등 설치기준은 교차로의 형태를 반영하고 있지 않다. 본 논문은 신호 및 비신호 T형 교차로에 대한 현장의 지체도 조사를 바탕으로 첨두시간 교통량을 이용한 T형 교차로의 신호등 설치기준을 개발하였다. 기준설정을 위해 교차로의 평균정지지체 최소화를 평가척도로 사용하였으며 주요 연구결과를 요약하면 다음과 같다. 첫째, T형 교차로의 지체도 모형은 주도로 교통량과 부도로 교통량을 독립변수로 하는 지수함수 형태를 갖는다. 둘째, T형 교차로의 신호등 설치기준은 T형으로 인한 현시의 감소로 MUTCD에서 제시하고 있는 신호등 설치기준과 비교시 타당성 교통량이 높게 나타났다. 셋째, T형 교차로의 신호등 설치를 위한 첨두시 교통량기준 도표를 작성하였으며, 평일의 하루중 주도로(양방향)의 시간당 교통량과 이에 사용하는 부도로의 시간당 교통량의 최대값을 도표에 표시했을 때 접근로 차로수의 조합에 해당하는 기준선의 상위영역에 위치하면 신호등을 설치하는 것이 교차로의 지체도를 최소화시킬수 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.155-162
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• 2008

This study shows how to estimate the design hour factor when the counting stations don't have all of the hourly volumes such as in a coverage survey. A coverage survey records traffic volume from 1 to 5 times in a year so it lacks the detailed information to calculate the design hour factor. This study used the traffic volumes of permanent surveys to estimate the design hour factor in coverage surveys using correlation and regression analysis. A total 7 independent variables are used : the coefficient of variance of hourly volume, standard deviation of hourly volume, peak hour volume, AADT, heavy traffic volume proprotion, day time traffic volume proportion and D factor. All of variables are plotted on a curve, so it must use non-linear regression to analyze the data. As a result the coefficient of determination and MAE are good at logarith model using AADT.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.240-244
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• 2019

본 연구에서는 2차원 수치모형(Nays2DH)을 적용하여 금강 상류에 건설된 세종보를 중심으로 보 개방 후에 홍수량 변화에 의한 하도의 지형변화 과정을 분석하였다. 수치모의를 위한 홍수량은 금남수위표에서 2018년 1월부터 2018년 12월까지 각 시간별 유량을 일반화(normalizing) 하여 하였다. 부정류 홍수량은 2018년 7월의 홍수량 $3,341m^3/s$을 적용하였으며, 부정류의 첨두유량($3,341m^3/s$)이 발생시간은 28시간이고 유출량은 $108.1m^3/s$으로 설정하였다. 수치모의 시간은 120시간으로 설정하여 사주의 발달, 이동, 사주의 형상 및 하도 지형변화를 분석하였다. 첨두유량은 $2,281m^3/s$, 2차 첨두유량은 $3,515m^3/s$, 3차 첨두유량은 $4,259m^3/s$으로 각각 26시간, 107시간, 200시간 동안 발생하는 부정류를 적용하였다. 수치모의 구간은 세종보를 중심으로 상하류 6.5 km 구간을 설정하였으며, 보는 완전히 개방된 것으로 설정하였다. 단일 홍수가 유입될 때 보다, 3개의 홍수가 연속으로 유입될 때에는 보 상류에서 사주의 크기가 크고, 사주의 수가 증가하며, 저수로의 변화가 다양하였다. 흐름이 집중되는 구간에서 하상은 깊게 세굴 되어 하천구조물의 안정과 주의가 필요하다. 그러나 하도의 다양성과 역동성이 크게 개선되는 특성을 보여주었다. 하상의 종방향 특성을 고려할 때, 세종보 하류에서는 하상고가 상승하는 특성을 보여 주었으나, 하상고가 불규칙한 특성을 보여주었다. 이는 단일홍수에 비해하여 하도의 역동성이 큰 것을 의미한다, 사주의 이동속도는 1차 첨두유량일 때 가장 빠르게 나타났지만, 이후 2차 및 3차의 유량이 더 많았지만 사주의 이동속도가 감소하였다. 보를 완전개방 하였을 때는 흐름이 안정화 되어 이동속도 변동폭이 작아졌다.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.79-88
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• 2007

Design Hourly Volume (DHV) is the hourly volume used for designing a section of road. DHV is also used to estimate the expected number of vehicles to pass or traverse the relevant section of road in a future target year. The Design Hour Factor (DHF) is defined as the ratio of DHV to Average Annual Daily Traffic (AADT). In addition to high precision of predicted traffic volume, in order to design a roadway to be the proper scale, applying appropriate DHFs considering traffic flow characteristics and type of area which surrounds the relevant roadway is important. This study categorizes sections of expressway (Suh Hae An Expressway) according to their area type and estimates DHFs utilizing traffic data obtained from a vehicle detection system (VDS). This study shows that DHFs calculated using VDS data are different from those using traffic data acquired from a coverage survey. While AADTs from both data show similar values, peak hour volumes from both data show significant differences especially for recreational areas. DHFs from the coverage survey are quite different from the values provided by the Korean design guide or previous research results and DHFs for urban areas are higher than recreational areas. However, DHFs from VDS shows similar values to previous research results. The result of this study suggests that using VDS for estimating DHFs is more reliable than using a coverage survey.

• Journal of Korean Society of Transportation
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• v.15 no.4
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• pp.73-90
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• 1997

The warrants to install traffic signals used in U.S.A. are well specified comparing to those in other countries. Among the eleven warrants of the U.S.A., the Warrant 9, 10, and 11 are especially fit in practice. The warrant relaxed to traffic volumes used presently in Korea have been adopted from the U.S.A. Those may not have been reliable in the traffic situation of Korea. The rules required passing through intersections are not kept well at intersections controlled without signals. The purposes of this study are to test and evaluate the reliability of the Warrant 9 and 11 adopted form U.S.A.n Korean traffic situation and to propose new traffic signal warrants related to traffic volumes fitted in here. The traffic volume warrants are proposed considering the situation of rules not being kept well(current situation) and that of vice versa(ideal situation). The results of this study are following; 1) The total volumes warranted to traffic signals are 1600vph, 1700vph, and 1800vph at 4-legs intersection having 1 by 1 lane, 1 by 2 lanes, and 2 by 2 lanes respectively. The total volumes warranted are 1400vph and 1600vph at 3-legs intersection haying 1 by 2 1anes, and 2 by 2 lanes respectively. 2) Another traffic warrants proposed are transformed from the currant warrants 9 and 11. These warrants are composed of the total volumes and the ratio of the volume of the minor street to that of the major street.

• Journal of Environmental Policy
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• v.11 no.3
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• pp.49-65
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• 2012

Road traffic noise is closely related to road traffic environment, including traffic volumes by type and travel speed. In this study, we stated some issues and analyzed the relationships between road traffic noise and traffic flow characteristics. First, in attempt to find the answer to the question "When does the loudest traffic noise occur?" we reviewed the issue in the terms of traffic flow. As a result of analyzing level of service through Korea Highway Traffic Noise model, the actual maximum noise occurred in level of service D rather than level of service E, on the capacity state. It shows that maximum noise would be most likely to occur right before and after the peak hours. Second, this paper was looking for the method of a more easy and accurate traffic speed estimation to predict traffic noise. This paper proposed sketch planning techniques of speed-volume curve by level of service on Korea Highway Capacity Manual. As a result of trend line modeling, it was judged that quadratic form is a suitable function, and coefficient of determination ($R^2$) was higher than 0.96, respectively.

• International Journal of Highway Engineering
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• v.14 no.2
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• pp.93-99
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• 2012

This study analyzes traffic data which are collected by VDS(Vehicle Detection System) to research the relationship between spacing distribution and vehicles' relative speed. The collected data are relative speed between preceding and following vehicles, passing time and speed. They are also classified by lane and direction. For the result of the analysis, in the same platoon, we figure out that mean of spacing is 40m, which can be a value to determine section A to D. To compare spacing according to time interval, this study splits time intervals to peak hour and non-peak hour by peak hour traffic volume. In conclusion, vehicles in peak hour are in car following because most drive similar speed as preceding vehicle and they have relatively small spacing. On the other hand, non-peak hour's spacing between vehicles is bigger than that of peak hour. This implies driver's behaviors that the less spacing, the more aggressive and want to reduce their travel time in peak hour, whereas most drive easily in non-peak hour and recreational trip purpose because of less time pressure.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.440-447
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• 2024

Purpose: The number of registered vehicles in Korea continues to increase. As traffic volume increases gradually due to improved quality of life, the severity of accidents is expected to increase and congestion problems are also expected. Therefore, it is necessary to analyze the accident factors of pointed traffic accidents and non-pointed traffic accidents. Method: The severity of the apical and non-pointed traffic accidents in Incheon Metropolitan City is analyzed by dividing them into apical and non-pointed traffic accidents to investigate the factors affecting the accident. XGBoost machine learning techniques were applied to analyze the severity of pointed and non-pointed traffic accidents and visualized as plot through the results. Result: It was analyzed that during non-peak hours, such as the case of the victim's vehicle type at peak times, the victim's vehicle type and construction machinery are variables that increase the severity of the accident. Conclusion: It is meaningful to derive the seriousness factors of apical and non-pointed accidents, and it is hoped that it will be used to reduce congestion costs by reducing the seriousness of accidents in the case of apical and non-pointed in the future.

• Journal of Korean Port Research
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• v.10 no.2
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• pp.91-101
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• 1996

Today transportation problems are severer with the increase of the vehicles and travel demand in urban areas, but could not be completely solved with only the expansion of the new transportation facilities. Because the expansion of the new transportation facilities are limited in urban areas. As one of the Transportation System Management(TSM) techniques in this study, the simulation results of the existing signal systems which were operated based upon the peak time periods for increasing the efficiency on the pretimed signalized intersections(PSI) during the different time periods : the AM on-Peak, the AM off-Peak, the PM off-Peak, and the PM on-Peak, were as follows : i) There was no distinct difference in the total traffic volumes concentrated on the signalized intersections during the different time periods, but a considerably big difference in the directional traffic volumes for those time periods. ii) There were about 53% reduction of the average delay and 51% reduction of the fuel consumption when applying the different signal systems to the different time periods regardless of the CBD and Non-CBD. iii) There were about 36% increase of the average delay and 33% increase of the fuel consumption when applying the same signal systems during the peak time periods to the different time periods regardless of the CBD and Non-CBD. Based on the above results, it was concluded that constructing the different signal systems for the different time periods would be better than construction the same ones for those periods on the pretimed signalized intersections in urban areas.