• 제목/요약/키워드: Traffic Volume Data

검색결과 458건 처리시간 0.022초

TRANSIMS에서 국가교통DB의 적용방안 (Applications of Korean National Traffic DB in TRANSIMS)

  • 권기욱;이종달
    • 한국지리정보학회지
    • /
    • 제13권2호
    • /
    • pp.29-40
    • /
    • 2010
  • TRANSIMS의 차량 시뮬레이션은 CA(Cellular Automata)이론을 토대로 비교적 빠른 시간에 넓은 지역을 분석할 수 있어 기존의 프로그램들보다 큰 장점을 가진다. 또한 TRANSIMS는 Source Code가 공개되어 있기 때문에 네트워크나 통행특성의 차이를 반영 및 수정하여 사용할 수 있다. 본 연구에서는 TRANSIMS의 네트워크자료 구축을 위하여 사용되는 입력자료 중 국가교통 DB센터에 구축되어 있는 교통주제도를 활용하였다. 그러나 교통주제도는 TRANSIMS가 요구하는 입력형태의 자료로 구성이 되어 있지 않기 때문에 이를 수정 보완하여 네트워크를 구축한 후 대구광역시 수성구를 연구대상지로 하여 시뮬레이션을 통해 간선도로 교통량과 교차로 각 방향에 대한 교통량을 산출한 후 실제 교통량과 비교해 보았다. 시뮬레이션 결과 교차로에서는 최소 14%에서 최대 42%, 간선도로에서는 최소 3%에서 최대 8%까지의 오차를 나타내고 있다. 이것은 시뮬레이션에 있어서 대구광역권 전체에 대한 교통량이 고려되지 못한 점과 일부 특정구간의 공사 및 도로노면 상태, 만성 지체구간 등에서 운전자의 경로회피 등이 반영되지 못한 점을 고려한다면 상당히 만족스런 결과라 할 수 있다.

국내 데이터를 고려한 전기 자동차 충전 시 순시전압강하에 관한 연구 (A Study on the Voltage Sag During the EVs Charging Considering Domestic Data)

  • 고효상;김준혁;김응상;김철환
    • 조명전기설비학회논문지
    • /
    • 제29권1호
    • /
    • pp.37-46
    • /
    • 2015
  • In order to charge EVs, they have to be connected to distribution system. Therefore, if unprecedented numbers of EVs are connected to power systems, it could result in deterioration of power quality, overload, and other system problems. In this paper, the effects of voltage sag on the distribution system due to the connection of EVs is evaluated by considering related field data of Republic of Korea such as the number of gasoline-fueled vehicles, seasonal load of power system and the monthly and daily real-time traffic volume. The distribution system and EVs are modeled using the Electro Magnetic Transients Program (EMTP).

다기간 자료포락분석을 이용한 전기차 충전소 효율성 변화 분석 (Analysis on the Efficiency Change in Electric Vehicle Charging Stations Using Multi-Period Data Envelopment Analysis)

  • 손동훈;강영수;김화중
    • 산업경영시스템학회지
    • /
    • 제44권2호
    • /
    • pp.1-14
    • /
    • 2021
  • It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.

로그자료 분석을 통한 인터넷 서버의 용량 분석 (Capacity Analysis of Internet Servers Based on Log-Data Analysis)

  • 김수진;윤복식;이용주;강금석
    • 경영과학
    • /
    • 제19권1호
    • /
    • pp.29-38
    • /
    • 2002
  • Due to the rapid increase In the Internet traffic volume, ISPs are faced with the definite need of the expansion of server capacity. In order to Provide prompt services for customers and still prevent excessive facility cost, it is critical to determine the optimum level of internet server capacity. The purpose of this Paper is to provide a simple but effective strategy on the expansion of servers capacity according to the increase in internet traffic. We model an internet server as an M/G/m/m queueing system and derive an efficient method to compute the loss probability which, In turn, Is used as a basis to determine proper server capacity. The Process of estimating the traffic parameter values at each server based on log data analysis is also given. All the procedures are numerically demonstrated through the process of analyzing actual log data collected from a game company.

토지이용에 따른 충돌 유형별 도시부 로터리 및 회전교차로 사고모형 (Traffic Accident Model of Urban Rotary and Roundabout by Type of Collision based on Land Use)

  • 이민영;김태양;박병호
    • 한국안전학회지
    • /
    • 제32권4호
    • /
    • pp.107-113
    • /
    • 2017
  • This paper deals with the traffic factors related to the collisions of circular intersections. The purpose of this study is to develop traffic accident models by type of collision based on land use. In pursuing the above, the traffic accident data from 2010 to 2014 were collected from the "Traffic Accident Analysis System (TAAS)" data set of the Road Traffic Authority. A multiple regression model was utilized in this study to develop the traffic accident models by type of collision. 17 explanatory variables such as geometry and traffic volume factors were used. The main results are as follows. First, the null hypothesis that the type of land use does not affect the number of accidents by type of collision is rejected. Second, 10 accident models by type of collision based on land use are developed, which are all statistically significant. Finally, the ADT, inscribed circle diameter, bicycle lane, area of central island, number of speed hump, circulatory roadway width, splitter island, area of circulatory roadway, mean number of entry lane and mean width of entry lane are analyzed to see how they affect accident by type of accident based on land use.

도로환경요인이 도로변 대기오염에 미치는 영향분석 (Effects of Road and Traffic Characteristics on Roadside Air Pollution)

  • 조혜진;최동용
    • 대한교통학회지
    • /
    • 제27권6호
    • /
    • pp.139-146
    • /
    • 2009
  • 대기오염 물질배출량 중 도로이동오염원에 의한 배출량은 다른 오염원에 비해 월등히 높은 편이나 관련연구가 미흡한 실정이다. 본 연구에서는 교통량, 속도 및 기타기상 조건의 실시간 자료와 도로기하구조와 같은 도로특성인자를 반영하여, 대기오염 물질 배출에 도로환경요인이 미치는 영향을 분석하였다. 서울시의 실시간 대기오염 데이터와 교통량, 도로관련 데이터를 수집하여 대기오염 물질별 오염배출량 예측 회귀모형식을 구축하였다. 본 연구에서 얻어진 결과를 요약하면 다음과 같다. 첫째, 교통량이 증가할수록 오염물질의 측정량은 증가하며, 속도가 증가할수록 측정량은 감소한다. 둘째, 풍속, 온도, 습도가 증가할수록 측정량은 감소한다. 셋째, 교차로 형태가 복잡할수록 측정량은 감소한다. 예측모형을 검증하기 위하여 예측치와 실측치 데이터를 비교 분석한 결과 총 7곳의 도로변대기오염 측정망 중 실측치와 예측치가 가장 부합하는 측정망은 청계 4가 측정망인 것으로 나타났다. 본 연구는 실시간 대기오염배출량 데이터와 교통량 데이터, 도로환경 특성데이터를 이용하여 예측모형을 구축하여 현실적인 도로환경요인이 대기질에 미치는 영향을 설명하였다는 데 의의가 있다.

GIS 자료를 이용한 초과소음지도 작성과 소음 평가 (Excess Noise Map for Environmental Standard and Assessment of Noise with Using GIS Data)

  • 고준희;이병찬;임재석;박수진;장서일
    • 한국소음진동공학회논문집
    • /
    • 제19권10호
    • /
    • pp.1075-1082
    • /
    • 2009
  • Using GIS data of C-si as basic data when making noise map of road traffic, we estimated exactly the noise excess areas and consequently suggested the population and the area exposed to road traffic noise accurately. We made 3D noise map to assess regional distribution of noise quantitatively. The noise map consists of noise prediction model based on data base such as traffic volume and speed changes for estimating quantitatively the noise and 3D urban space model which includes locations of noise sources, 3D buildings, topography and roads. We made noise standard map according to land use conditions and compared this map to road traffic noise map, and consequently made excess noise map. Using excess noise map, we assessed areas which exceed environmental noise level standards and noise guidelines quantitatively and effectively through GIS spatial analysis, and consequently more accurate noise exposed area and noise exposed population could be estimated. To show buildings' outer walls noise exposure, we analyzed 3D urban noise distributions using 3D-analysis of GIS.

고속도로의 합류구간내 속도변화 추정모형 구축에 관한 연구 (Constructing the Models Estimated for Speed Variation on the Merge Section in the Freeway)

  • 신광식;김태곤
    • 한국항만학회지
    • /
    • 제13권1호
    • /
    • pp.113-122
    • /
    • 1999
  • Congestion and traffic accidents occur on the merge and diverge sections in the interchange of the freeway. Studies have been conducted to reduce the traffic delay and accidents on the merge section in the freeway since 1960s. but a study was not conducted to estimate the speed variation on the merge section construct models estimated for the speed variation and suggest the appropriate measures. The purpose of this study was to identify the traffic flow characteristics on the merge section in the freeway construct the models estimated for the speed variation on the merge section in the freeway and finally establish the appropriate measure for reduction of traffic delay and accidents on the merge section in the freeway. The following results were obtained: I) Speed variations in the urban freeway appeared to be about 3.2mph, 6.5mph and 7.4mph based on the morning peak period, afternoon peak period and 24-hours period but those in the suburban freeway appeared to be about 8.0mph, 11.1mph and 10.1mph based on the same periods respectively. So different speed reduction signs need be installed to reduce delay and accidents on the merge section in the freeway based on the areas and periods as the freeway traffic management system(FTMS). ii) These models estimated for speed variation need to be studied with the changeable message sign(CMS) technique based on the real-time data so that the traffic flow could be maximized and the traffic delay and accidents be on the merge section in the freeway as more efficient freeway traffic management system(FTMS) in the near future.

  • PDF

Estimating the Effect of Freeway Ramp Metering on Safety

  • Kang Jeong-Gyu
    • 대한교통학회:학술대회논문집
    • /
    • 대한교통학회 1998년도 Proceedings The 4th International Transport Symposium
    • /
    • pp.152-159
    • /
    • 1998
  • This paper presents a method evaluating benefits of ramp metering strategies on freeway safety. Based on the traffic and the accident data collected on a 4.2 km (2.6 mile) section of Interstate highway 35-West in Minneapolis, U.S.A., the relationship between traffic variables and safety measures is investigated. An aggregate specification that could be used to predict accident frequencies on freeways is proposed as a multiple regression form. The specification includes 15 minutes volume and occupancy data, which are commonly available from surveillance and control systems. The primary variables that appear to affect the frequencies of freeway accident are: vehicle-miles of travel, entrance ramp volumes and the dynamic effect of queue building. A simulation method evaluating the dynamic effect of control strategies on safety is proposed next. The potential benefits of freeway ramp metering on freeway safety are finally investigated via a proposed method.

  • PDF