• Title/Summary/Keyword: 평균일교통량

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A Study on Trip Generation Model considering Trip-chaining by Behavioral Homogeneous Person Group ("유사 통행행태 집단"의 Trip-chaining을 고려한 통행발생 모형)

  • Lee, Seon-Ha;Yun, Jin-Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.709-716
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    • 2006
  • The rapid changes of family structure such as singles, working couples and so on have effects on a travel behaviour. One of the characteristics from this is the increasing portion of trip-chain, in which plural activities were conducted in a "single outgoing" travel. Therefore travel must be considered as location change to conduct various activities instead of pursuing single travel purpose. This paper specifies a behavioral homogeneous person group by a job, a possession of cars. Based on this classification of person groups and their activity diary, the sequence, time and travel mode of activities in a day can be verified. As a case study household survey was conducted in city Kongju. The survey result shows that the classification of behavioral homogeneous person group based on criteria like employment status and car ownership bring a good result to forecast trip generation in traffic zone.

The Hazardous Expressway Sections for Drowsy Driving Using Digital Tachograph in Truck (화물차 DTG 데이터를 활용한 고속도로 졸음운전 위험구간 분석)

  • CHO, Jongseok;LEE, Hyunsuk;LEE, Jaeyoung;KIM, Ducknyung
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.160-168
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    • 2017
  • In the past 10 years, the accidents caused by drowsy driving have occupied about 23% of all traffic accidents in Korea expressway network and this rate is the highest one among all accident causes. Unlike other types of accidents caused by speeding and distraction to the road, the accidents by drowsy driving should be managed differently because the drowsiness might not be controlled by human's will. To reduce the number of accidents caused by drowsy driving, researchers previously focused on the spot based analysis. However, what we actually need is a segment (link) and occurring time based analysis, rather than spot based analysis. Hence, this research performs initial effort by adapting link concept in terms of drowsy driving on highway. First of all, we analyze the accidents caused by drowsy in historical accident data along with their road environments. Then, links associate with driving time are analyzed using digital tachograph (DTG) data. To carry this out, negative binomial regression models, which are broadly used in the field, including highway safety manual, are used to define the relationship between the number of traffic accidents on expressway and drivers' behavior derived from DTG. From the results, empirical Bayes (EB) and potential for safety improvement (PSI) analysis are performed for potential risk segments of accident caused by drowsy driving on the future. As the result of traffic accidents caused by drowsy driving, the number of the traffic accidents increases with increase in annual average daily traffic (AADT), the proportion of trucks, the amount of DTG data, the average proportion of speeding over 20km/h, the average proportion of deceleration, and the average proportion of sudden lane-changing.

A Study on the Performance of Prefetching Web Cache Proxy (Prefetch하는 웹 캐쉬 프록시의 성능에 대한 연구)

  • 백윤철
    • Journal of the Korea Computer Industry Society
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    • v.2 no.11
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    • pp.1453-1464
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    • 2001
  • Explosive growth of Internet populations results performance degradations of web service. Popular web sites cannot provide proper level of services to many requests, and such poor services cannot give user a satisfaction. Web caching, the remedy of this problem, reduces the amount of network traffic and gives fast response to user. In this paper, we analyze the characteristics of web cache traffics using traces of NLANR(National Laboratory for Applied Network Research) root caches and Education network cache in Seoul National University. Based on this analysis, we suggest a method of prefetching and we discuss the gains of our prefetching. As a result, we find proposed prefetching enhances hit rate up to 3%, response time up to 5%.

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수돗물의 절약과 수요관리에 대한 고찰

  • 이현동
    • Water for future
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    • v.33 no.5
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    • pp.61-69
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    • 2000
  • 물은 인간생활에 가장 필수적인 재화이며, 모든 산업의 기본이다. 더욱이 다른 재화와는 달리 대체재가 없다는 것에 그 심각성이 있다. 인구의 폭발적인 증가와 급격한 산업화로 지구촌의 물 부족 현상은 이미 어제 오늘의 일이 아니다. 최근 일부지역에서는 물전쟁 시나리오까지 등장하고 있다. 최근 40년간 세계의 물 소비량은 3배나 증가하였으며, 국가간 물 분쟁도 증가 추세를 보이고 있다. 우리 나라의 경우도 연평균강수량(1.27mm)이 세계평균(973mm)의 1.3배에 이르고는 있지만, 높은 인구 밀도 때문에 1인당 연간 평균강수량은 세계평균의 12.5%에 불과한 실정이다. 또한, 실질적으로 사용 가능한 자원량을 생각하면 문제는 더욱 심각하다. UN의 국제인구행동연구소(PAI:Population Action International)의 발표에 따르면, 우리 나라의 활용 가능한 자원량은 661억$m^3$으로 이를 국민 한사람당으로 환산해 보면 1.472$m^3$으로 물 부족 국가군에 해당한다. 현재 건설교통부의 수자원장기종합계획에 의하면, 우리 나라는 2006년부터 연간 4억$m^3$, 2011년부터 연간 20억$m^3$의 물이 부족할 것으로 전망하고 있다. 우리 나라 수자원 특성상 물을 확보하는데는 댐 건설 등 수자원시설이 적기에 건설되어야 하지만, 공기가 길고(10년 이상 소요), 엄청난 투자비(약 24조원), 수몰지 발생, 환경변화 등 많은 문제점들이 도출되고 있다. 그러나 미래의 물 부족에 대응하기 위해서 댐 건설(상수원전용 댐)은 불가피한 대안 중의 하나이다. 또 다른 대안으로는 교육이나 홍보를 통하여 수돗물 사용자로 하여금 자발적으로 물 사용량을 줄이도록 권고하는 방법이 있다. 또한 수도요금체계를 현실화시키거나 법규를 통하여 절수를 의무화하는 등의 방법을 통하여 물 수요를 관리하여 댐 건설이나 상수도시설 확장 등 많은 예산이 소요되는 공사를 실시하지 않고서도 급수관리와 비슷한 효과를 가질 수도 있다. 따라서 물 절약 등 수요관리를 통하여 용수수요를 줄여 나가는 방안 마련이 시급하다. 그리고 물은 한정된 자원이자 우리의 생명수이다. 이제는 수요가 증가한다고 해서 무턱대고 공급을 늘이기 위한 정책 방향으로만 갈 수는 없는 실정이다 보니 물 수요관리를 더 한층 중요하게 다루어야 할 적기가 바로 오늘이 시점부터라고 할 수 있다.

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Analysis of Contributory Factors in Causing Crashes at Rural Unsignalized intersections Based on Statistical Modeling (지방부 무신호교차로 교통사고의 영향요인 분석 및 통계적 모형 개발)

  • PARK, Jeong Soon;OH, Ju Taek;OH, Sang Jin;KIM, Young Jun
    • Journal of Korean Society of Transportation
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    • v.34 no.2
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    • pp.123-134
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    • 2016
  • Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.

Accident Models of 4-Legged Signalized Intersections by Vehicle Type in the Case of Cheongju (4지 신호교차로 차종별 사고모형 -청주시를 사례로-)

  • Park, Byung-Ho;Park, Gil-Soo;In, Byung-Chul
    • International Journal of Highway Engineering
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    • v.10 no.4
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    • pp.161-170
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    • 2008
  • This study deals with the accident models by vehicle type. The goal is to develop the accident models by vehicle type using the data of 143 4-legged signalized intersections in Cheongju. In pursuing the above, this study gives the particular attentions to explaining the relationships between the values of EPDO(equivalent property damage only) and the traffic and geometric elements. The main results analyzed are the followings. First, 6 negative binomial models are developed, which are all significant at the 90% confidence level. Second, the values of ${\rho}^2$ by vehicle type are 0.14307(auto), 0.35556(large van), 0.21684(small van), 0.205152(motocycle), 0.32338(light-duty truck) and 0.29046(heavy-duty truck), that are all analyzed to be statistically significant. Finally, the common variable included in all models is ADT(average daily traffic), and the specific variable(SV) of auto is analyzed to be the sum of lane width of main road, SV of large van is the average yellow time, and SV of small van is the difference in the number of lane between main and minor road.

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Life-Cycle Cost-Effective Optimum Design of Steel Bridges Considering Environmental Stressors (환경영향인자를 고려한 강교의 생애주기비용 최적설계)

  • Lee, Kwang Min;Cho, Hyo Nam;Cha, Cheol Jun
    • Journal of Korean Society of Steel Construction
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    • v.17 no.2 s.75
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    • pp.227-241
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    • 2005
  • This paper presents a practical and realistic Life-Cycle Cost (LCC) optimum design methodology for steel bridges considering the long-term effect of environmental stressors such as corrosion and heavy truck traffics on bridge reliability. The LCC functions considered in the LCC optimization consist of initial cost, expected life-cycle maintenance cost, and expected life-cycle rehabilitation costs including repair/replacement costs, loss of contents or fatality and injury losses, road user costs, and indirect socio-economic losses. For the assessment of the life-cycle rehabilitation costs, the annual probability of failure, which depends upon the prior and updated load and resistance histories, should be accounted for. For the purpose, Nowak live load model and a modified corrosion propagation model, which takes into consideration corrosion initiation, corrosion rate, and repainting effect, are adopted in this study. The proposed methodology is applied to the LCC optimum design problem of an actual steel box girder bridge with 3 continuous spans (40m+50m+40m=130m). Various sensitivity analyses are performed to investigate the effects of various design parameters and conditions on the LCC-effectiveness. From the numerical investigation, it has been observed that local corrosion environments and the volume of truck traffic significantly influence the LCC-effective optimum design of steel bridges. Thus, these conditions should be considered as crucial parameters for the optimum LCC-effective design.

Application of Geographic Information System for Risk Analysis on Gas Industrial facilities (가스산업시설에서의 위험성 평가분야에서 지리정보시스템의 적용)

  • Lee Jeung-Woo;Kim Yun-Hwa;Kim Ky-Soo;Ko Jae-Wook
    • 한국가스학회:학술대회논문집
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    • 1997.09a
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    • pp.121-126
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    • 1997
  • 우리나라는 그동안 가스산업에서 고속성장을 이룩해 왔으나, 근래에는 중대가스산업사고가 빈번하게 일어나고 있다. 그런 이유로 1996년도에는 중대산업사고 예방제도가 전면적으로 실시되고 공정안전보고서를 자성하여 제출하도록 함으로서 위험성 평가의 중요성이 점차 높아가고 있으며, 위험성 평가 기법들에 대하여 여러 연구 단체에서 연구${\cdot}$ 시도되고 있다. 또한 이러한 연구${\cdot}$보고된 위험성 평가 기법들을 프로그램화하고 적용하려는 시도가 많이 있어 왔다. 본 연구에서는 기존에 연구${\cdot}$개발된 위험성 평가 기법들에 최근 컴퓨터 산업의 발달에 힘입어 각광을 받고 있는 지리정보시스템을 적용하고자 한다. 이러한 가스산업시설의 위험성 평가 시스템은 위험성을 평가하기 위해서 필요한 여러 가지 정보들을 지리정보시스템이 속성 데이터로서 저장하고 있으며, 가스산업시설에 관련된 주변의 도민들을 공간 데이터로서 저장하고 있다. 그리고 위험성 평가 시스템의 세부적인 기능을 모듈화하였다. 우선 위에 언급한 속성 데이터와 공간 데이터를 관리하는 모듈과 이러한 데이터를 가지고 사고영향 범위를 산출해내기 위한 모듈, 그리고 산출된 사고 영향 범위를 도면에 나타내는 모듈로 나뉘어져 있다. 이렇게 지리정보시스템에 구축되어 있는 도면에 위험성을 평가한 결과치를 나타냄으로서 위험성 평가 숙련자가 아니더라도 위험성 평가를 할 수 있고 결과를 분석하도록 도와 줄 수 있도록 할 수 있다. 또한 향후 재난관리시스템에서는 도면상의 도로에 교통량 가중치와 인근 소방서와 경찰서등의 위치를 관리하도록 지리정보시스템을 적용할 수 있으며, 가스시설물 관리시스템에서는 최근 대형가스사고의 대부분이 타공사에 의한 것임을 고려하여 가스배관망을 포함하여 기타 다른 지하배관망을 관리하도록 지리정보시스템을 적용할 수 있다.기질로서 이용하지 못하므로 invertase 및 ${\alpha}-glucosidase$ 활성이 없는 것으로 나타났다.)의 모양은 배양에 의해 형성된 균핵(菌核)의 모양과 다소 차이가 있었다. R. cerealis의 균사생장(菌絲生長) 적온(適溫)은 $23^{\circ}C$였으며, 다른 균핵진균(菌核眞菌)들의 균사생장(菌絲生長) 적온(適溫)은 $27-33^{\circ}C$였다. 일부 균핵진균(菌核眞菌)들의 균사생장(菌絲生長) 최고온도(最高溫度)는 $41^{\circ}C$ 로서 높은 반면, R. cerealis 의 균사생장(菌絲生長) 최고온도(最高溫度)는 $31^{\circ}C$로서 낮았다. R. cerealis 의 균사생장(菌絲生長) 최저온도(最低溫度)는 $2^{\circ}C$ 였으며, 다른 균핵진균(菌核眞菌)들의 균사생장(菌絲生長) 최저온도(最低溫度)는 $6-10^{\circ}C$였다. 시술(施術)하였다. 10. 한양방향시치료시(韓洋方同時治療時) 양호이상(良好以上)의 효과(效果)를 보인 경우(境遇)가 30건중(件中) 21건(件)으로 70%의 치료효과(治療效果)를 보여 한방단일진료시(韓方單一診療時)보다 다소 높은 치료효과(治療效果)를 나타냈다. 11. 1일평균(日平均) 한방진료건수(韓方診療件數)는 26.95명(名)이었고, 1일평균(日平均) 한방초진환자수(韓方初診患者數)는 3.9명(名)으로 나타났으며, 한방진료(韓方診療)가 양한방(洋韓方) 총진료(總診療)의 23.20%를 차지했고, 1일(日) 평균(平均) 한양방(韓洋方) 총진료건수(總診療件數)에 대(對)해 1일(日) 평균(平均) 한방초진건수(韓方初診件數)가 21.51%를 차지하는 것으로 나타났다.험이 완료된 31명에서는 부작용이 없거나 경도의 부작용이 있었으나 임상적

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Calibration Method of Vehicle Weight Data from Weigh-In-Motion System According to Temperature Effects (온도의 영향에 대한 Weigh-In-Motion 시스템의 차량중량자료 보정기법)

  • Hwan, Eui-Seung;Lee, Sang-Woo
    • International Journal of Highway Engineering
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    • v.12 no.4
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    • pp.187-196
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    • 2010
  • The purpose of this study is to develop the calibration method for temperature effects to improve the accuracy of the Weigh-In-Motion(WIM) system for collecting long-term truck weight data. WIM system was installed at a location where the truck traffic volume is high and weight data has been collected from January 2010. In this study, as a calibration measure, the first axle weight of Truck Type 10, the semi tractor-trailer is used based on the fact that the first axle weight is relatively constant, independent of the cargo weight. From this fact, calibration equations are developed from the relationship between the axle weight and the temperature(daily mean, maximum and minimum). Analysis on calibrated weight data shows adequacy of the proposed calibration method. Results of this study can be used to improve the accuracy of the WIM system and to carry out more rational design of pavement and bridge structures.

A Study on Developing Crash Prediction Model for Urban Intersections Considering Random Effects (임의효과를 고려한 도심지 교차로 교통사고모형 개발에 관한 연구)

  • Lee, Sang Hyuk;Park, Min Ho;Woo, Yong Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.1
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    • pp.85-93
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    • 2015
  • Previous studies have estimated crash prediction models with the fixed effect model which assumes the fixed value of coefficients without considering characteristics of each intersections. However the fixed effect model would estimate under estimation of the standard error resulted in over estimation of t-value. In order to overcome these shortcomings, the random effect model can be used with considering heterogeneity of AADT, geometric information and unobserved factors. In this study, data collections from 89 intersections in Daejeon and estimates of crash prediction models were conducted using the random and fixed effect negative binomial regression model for comparison and analysis of two models. As a result of model estimates, AADT, speed limits, number of lanes, exclusive right turn pockets and front traffic signal were found to be significant. For comparing statistical significance of two models, the random effect model could be better statistical significance with -1537.802 of log-likelihood at convergence comparing with -1691.327 for the fixed effect model. Also likelihood ration value was computed as 0.279 for the random effect model and 0.207 for the fixed effect model. This mean that the random effect model can be improved for statistical significance of models comparing with the fixed effect model.