• Title/Summary/Keyword: 통행 분포

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Travel Demand Estimation using Traffic Counts on the Large Scale Network (대규모교통망에서 관측교통량기반 통행수요추정)

  • 김종형;이승재;조범철
    • Journal of Korean Society of Transportation
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    • v.19 no.2
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    • pp.43-52
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    • 2001
  • 대부분의 관측교통량기반 수요추정기법은 소규모 및 중규모 교통망 등의 상대적으로 규모가 작은 교통망에서 기본적으로 가정된 수요를 가지고 얻은 추정O/D를 기본O/D와 비교하여 그 추정의 정확성이 어느 정도인가를 오차분석법 등을 이용하여 비교.분석하는 것이 그 주요한 분석방향이라고 할 수 있었다. 이러한 접근법은 실제 현실에서는 알 수 없는 참O/D나 참관측교통량을 가정하고 제시된 모형을 면밀히 관찰하여 모형의 장단점이 무엇인지를 파악하거나 타모형과의 비교.분석을 용이하게 하고자 할 때 많이 이용된다. 그러나 이러한 가정된 교통망이나 참O/D(true O/D) 등은 모형의 적용가능성을 살필 경우에 이용 가능한 방법이라고 할 수 있지만, 참O/D를 알지 못하는 현실상황(대규모 교통망)에서는 추정O/D의 신뢰성을 평가하기란 매우 힘든 작업이거나 거의 불가능한 일이라 할 수 있다. 이러한 문제점을 보완하고자 본 연구에서는 서울시의 1996년도 교통센서스 자료를 이용하여 가정된 수요가 아닌 실제적이고 현실적인 자료를 가지고 대규모 교통망에서 이용될 수 있는 모형을 살펴보았다. 연구방법은 대규모 교통망에 기존의 단일차종기반모형과 본 연구에서 제시한 다차종(multiclass)기반모형을 적용하여 추정된 O/D에 TLFD(Trip Length Frequency Distribution)개념을 이용하여 추정된 O/D의 신뢰성을 평가하고자 하였다. 또한, $R^2$를 이용하여 모형 적용 전후의 관측교통량과 배분교통량을 비교하여 추정력을 분석하였다. 본 연구에서는 단일차종기반모형보다는 차종간 혼잡효과 및 노선선택비율을 차종별로 감안할 수 있는 다차종기반모형이 대규모교통망에서는 보다 적절한 결과를 나타내는 것으로 분석되었다.

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A study on improving the evaluation of motorway functions using Trip Length Frequency Distribution(TLFD) (통행거리빈도분포를 활용한 고속도로 기능 평가 개선 연구)

  • Kwon, Ceholwoo;Yoon, Byoungjo
    • Journal of Urban Science
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    • v.11 no.2
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    • pp.9-17
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    • 2022
  • The purpose of this study is to develop an index for evaluating the function of a new motorway using the travel distance frequency distribution (TLFD) calculated using the vehicle travel route big data, and to overcome the limitations of the evaluation through the existing traffic volume. The mobility evaluation index of motorways was developed by applying it to the TLFD data table in 2019. The smaller the value of the mobility evaluation index of the link is calculated, the more it is a link with mainly short-distance travel, and the higher the value of the mobility evaluation index, the more it means a link with mainly long-distance travel. The accessibility evaluation index was calculated through the result of the mobility evaluation index of all motorways developed, and all motorways were grouped into three groups using K-means clustering. Group A was found to exist inside a large city and consisted of motorways with many short-distance traffic, Group B was investigated as acting as an arterial between groups, and Group C was classified as a motorway consisting mainly of long-distance traffic connecting large cities and large cities. This study is significant in developing a new motorway function evaluation index that can overcome the limitations of motorway function evaluation through the existing traffic volume. It is expected that this study can be a reasonable comprehensive indicator in the operation and planning process of motorways.

Relative Error Prediction via Penalized Regression (벌점회귀를 통한 상대오차 예측방법)

  • Jeong, Seok-Oh;Lee, Seo-Eun;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1103-1111
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    • 2015
  • This paper presents a new prediction method based on relative error incorporated with a penalized regression. The proposed method consists of fully data-driven procedures that is fast, simple, and easy to implement. An example of real data analysis and some simulation results were given to prove that the proposed approach works in practice.

대구지역 주중과 주말의 대기오염물질 농도 분포

  • Seong, Mi-Ae;Park, Myeong-Hui;Gu, Hyeon-Suk;Kim, Hae-Dong;Choe, Hyeok;Lee, Chan-Hyeong
    • Proceedings of the Korean Environmental Sciences Society Conference
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    • 2006.05a
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    • pp.126-128
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    • 2006
  • 대구 보건환경연구원의 대기오염측정망 관측자료를 통해 주중과 주말의 대기오염물질 농도 분포에 관해 살펴보았다. NO$_2$와 PM10의 농도가 평일에 비하여 주말에 감소하는 경향으로 보이는 것은 주말보다 평일에 출퇴근 등의 차량 통행이 많은 것과 관련이 있는 것으로 사료된다. 이와 반대로 O$_3$이 평일에 비하여 주말에 증가하는 경향을 보인 것은 감소하는 NO$_2$의 농도와 관련하여 상대적으로 O$_3$의 농도가 증가한 것으로 사료된다.

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Application of Multi-Server Queuing Theory to Estimate Vehicle Travel Times at Freeway Electronic Toll-Collection Systems (고속도로 자동요금징수시스템의 차량 통행시간 산정을 위한 다중서비스 대기행렬이론 연구)

  • Sung, Hyun-Jin;Choi, Jai-Sung;Kim, Sang-Youp
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.2
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    • pp.22-34
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    • 2011
  • This paper presents the investigation results of a research on how engineers can analyze the economic effect of the ETCS(Electronic Toll Collection System) installed to minimize the vehicle delays on freeway tollgates during toll payments. This research considered this economic effect to occur in the form of vehicle passing time reductions at the ETCS, and the multi-service queuing theory was applied to estimate these values. This research found: 1) When vehicles approaching tollgates show Poisson distribution and the service time of the ETCS shows Exponential distribution, the multi-service queuing theory would be applicable for estimating vehicle passing times at toll-gates, 2) Despite the ETCS placement, exit sections of tollgates give a greater reduction of vehicle passing times than entering sections due to more delays at conventional toll payments, and 3)The ETCS would not guarantee vehicle passing time reductions all the time, because in such a case as many vehicles were queuing at the ETCS, the total delay level for a toll gate would increase greatly. In addition, in order to examine the accuracy of the estimated vehicle passing values, this research compared the values from the multi-service queuing theory with the observed values from a set of field survey values at freeway toll-gates, and found that the two values were in a good agreement with a very low error range of 1-3 seconds per vehicle. Based on this result, the multi-service queuing theory was recommended for practice.

Is Compact Urban Spatial Structure Effective for Public Transportation Mode? (컴팩트형 공간구조가 대중교통수단의 이용활성화에 보다 효과적인가?)

  • Lee, Jae-Yeong;Kim, Hyung-Chul
    • Journal of Korean Society of Transportation
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    • v.22 no.3 s.74
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    • pp.7-16
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    • 2004
  • The purpose of this study was to find the characteristics of travel behavior and accessibility in terms of spatial structure. We analyzed travel behaviors and accessibility using a mode choice model and the Complementary Accessibility Index(CAI). The urban spatial structures that were compared were a compact city (CC) versus a sprawled city (SC), and high residential density districts (HD) versus low residential density districts (LD). First, CC and HDs residents had a shorter commuting distance than the CC and LDs residents. Second, behavior models showed that the use of Private cars for commuting in SCs was found to be greater than private car use in CCs, and that public transportation modes would be encouraged in CCs. Third, changes associated with the time and cost of commuting by private car generally affect the demand for public transportation modes in the CC. Also, analysis of cross elasticity suggests that changes of subway travel time affect the demand for buses very elastically. Fourth, the CAI of SC and LD were superior to the CC and HD even though the SC inefficient urban forms in terms of spatial structure. So, the spatial distribution of population density was also found to be an important factor affecting accessibility and energy savings.

An Interval Travel Demand Estimation Method (구간추정법을 이용한 교통수요추정)

  • Lee, Seung-Jae;Kim, Yong-Hoon
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.81-88
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    • 2008
  • This paper presents the travel demand estimation using interval estimation methods during the trip generation stage, and then followed the other three stages of the four stage trip estimation. We have used real data of Dae-jun City. To estimate travel demand using the interval estimation method, a reliability level was set to 95% by a upper bound value, a middle value and a lower bound value. The four stage traffic demand analysis procedure was equally applied and finally interval traffic was estimated. The result showed a difference between maximum values and middle values depending on the destination during the trip generation stage. It depends on an explanation ability of regression analysis. Most of interval estimation ratio resulted in the traffic assignment stage showed ${\pm}5{\sim}18%$ difference on the average and ${\pm}30{\sim}50%$ at the most.

Comparative Study on the Departure Area for a Day's Tour Trip in Due Consideration of the Circular Trip among Tourist Attractions - Focused on Geoje-si Tourist before and after the Opening of BG Fixed Link - (관광지간 회유(回遊)행동을 고려한 당일관광통행 출발권역 비교연구 - 거가대로 개통 전후 거제 방문관광객을 대상으로 -)

  • Song, Ki-Wook;Jung, Hun-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.5
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    • pp.1103-1110
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    • 2015
  • Ratio of a day's tour for Geoje-si, 22.6 percent, has increased to 48.6 percent since the opening of Busan-Geoje fixed link. Eight cities of Yeungnam area including Busan-Ulsan and Daegu-Gyeongbuk has been directly affected by the changed route from GJ Bridge to BG Bridge. In order to compare the range of departure area for a one-day trip in Geoje tourist attractions before and after the new fixed link, duration variation of visitors is described as individual difference by normal distribution function. One-day tour trip model based on a circular trip is also suggested under comparatively simple supposition. Since average area after the opening is equal to maximum area before as minimum area after is equal to average area before, the effect of access improvement by the new bridge is revealed definitely. In addition, the effect of cities located in the middle and long distance is greater. Although cities proximity to Geoje are not influenced significantly, every citizen is capable of taking a one-day trip anywhere.

Dynamic Traffic Assignment Using Genetic Algorithm (유전자 알고리즘을 이용한 동적통행배정에 관한 연구)

  • Park, Kyung-Chul;Park, Chang-Ho;Chon, Kyung-Soo;Rhee, Sung-Mo
    • Journal of Korean Society for Geospatial Information Science
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    • v.8 no.1 s.15
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    • pp.51-63
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    • 2000
  • Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.

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A Statistical Method for Predicting Recurrent Congestion Time in Urban Freeway (도시고속도로 반복정체 시점의 통계학적 분석방법)

  • Han, Yeong-Jun;Son, Bong-Su;Kim, Won-Gil
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.29-37
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    • 2006
  • As a recurrent congestion of urban freeway occurs in almost same time and section, it is possible to manage the congestion effectively by the expectation and advance correspondence. In the existing traffic management system. we have used pattern data to manage a recurrent congestion. But it is not applicable to an urban freeway which kas various traffic circumstance. In this study, the probability by travel speed using a statistical distribution method will be used to predict the probability of recurrent congestion. It is expected that we can get the point of time and the duration of recurrent congestion, and we can devise an effective advance correspondence and a transportation operation.