• Title/Summary/Keyword: 통행체계

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Analysis of Travel Modal Choice and the Temporal Transferability for Workers (취업자의 1일 통행수단선택 분석 및 모형의 시간이전성 검토)

  • 김대웅;배영석;이명미
    • Journal of Korean Society of Transportation
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    • v.17 no.5
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    • pp.19-32
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    • 1999
  • In this study, the trip characteristics of workers in the city are systematically analyzed. The trip behaviors and socioeconomic characteristics of workers are analyzed using Person Trip Survey Data of 1988 and 1992 in Taegu Metropolitan area. With the results of behavioral analyses, the daily travel pattern of workers is shown as one tour contained two trips and it is relatively simple and stable. Also the rate using the same mode in a day is Presented as high ratio. So, it can be explained that the choice of worker\`s first trip is fixed his/her travel mode for his/her daily travel mode. Based on these analyses, the mode choice model for workers is developed by applying the Multi-nominal Logit Model with the choice set of bus, taxi, and car. The explanatory variables of this model include sex, age, auto, travel time, and cost. Empirical tests of the model show encouraging results. After that, the temporal transferability of the model is examined by the Pairwise t-test and five indexes far the model of 1988 and 1992. The results of examination are satisfied with each significance level of the explanatory variables and five indexes. Therefore. it can be concluded that the temporal transferability of this model developed in this study is resonable.

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Traffic Flow Analysis by Delay Penalty and Road Pricing (지각패널티와 변동요금에 의한 교통류 분석 연구)

  • Byun, Wan-Hee;Kim, Ju-Hyun;Choi, Byun-Kuk;Song, Doo-Suk
    • Journal of Korean Society of Transportation
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    • v.23 no.6 s.84
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    • pp.71-80
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    • 2005
  • With rapid development Telematics industry, the concern of dynamic road pricing system is increasing. In this study, the change of traffic flows according to traffic information and variation of congestion road prices related to the dynamic road pricing was analyzed. In this study, three facts were unfolded. First, high delay penalty and low delay penalty drivers are shown different reaction for the different congestion road prices. Second, the higher congestion road prices the more drivers convert their route from toll road to non toll road. Third, high penalty drivers are converting to toll road than low delay penalty drivers under same congestion road prices. This study has reached the conclusion that dynamic congestion pricing has a high possibility for traffic management.

Modeling Subway Accessibility in Seoul Public Transport System Reform (수도권 대중교통체계 개편 전.후 지하철 이용자의 접근성 변화 모형구축)

  • Kim, Chan-Sung;Seong, Hong-Mo;Shin, Seong-Il
    • Journal of Korean Society of Transportation
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    • v.23 no.8 s.86
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    • pp.101-111
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    • 2005
  • Various urban transport policies have an effect on urban transit riderships and accessibility. This study reports variations of metropolitan subway travel patterns affected by an enormous change in bus routes and transfer discount fare policy between subway and bus mode conducted by Seoul city in July 1st of 2004. In an effort to see the difference between the before and the after policies, two data sets are prepared. Firstly, on a daily bassis. an origin-destination trip table of May of 2004 is used. Secondly, on a daily bassis, an origin-destination trip table of August-September of 2004 is used as a counter measure. Even if seasonal variation was not considered, Seoul metropolitan area have experienced increasing riderships and accessibility. Finally, the effects of accessibility in spatial interaction model by rall service changes such as random shocks were scrutinized and interpreted in detail.

An Application of Multinomial Logit Model to Jongro Corridor Travellers (종로축 출근통행에 대한 "로-짓" 모형의 적용)

  • 원제무
    • Journal of Korean Society of Transportation
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    • v.2 no.1
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    • pp.103-119
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    • 1984
  • 복잡다기해지는 도시교통문제를 효율적으로 대처하려면 제도시교통정책에 의한 교 통분담율효과를 사전에 추정할 수 있어야 한다. 단기간의 교통분담율효과를 추정하는데 미 국 및 구라파 등지에서 널리 이용되고 있는 모형이 개별교통모형(Disaggregate Travel Demand Model)이다. 본 연구의 목적은 로짓모형(Multinomial Logit Model)을 서울시의 종 로축을 이용하는 출근통행자를 대상으로 실시한 조사결과에 적용하여 매개함수(Parameters) 를 추정함에 있다. 조사는 1980년7월5일부터 7월15일까지 10일간 종로축을 이용하는 통행자 536명에게 실시되었다. 조사실시전 서울시의 교통체계의 특성과 통행자의 행태를 면밀히 분 석하여 적합한 변수를 선정하였다. 여러 가지로 변수와 표본의 변형을 시도한 결과 교통비 용을 소득으로 나눈 변수와 시기시간(OVTT)을 거리로 나눈 변수를 포함한 모형이 가장 논 리적인 것으로 나타났다. 한편 표본은 고소득층과 저소득층으로 구분하여 추정한 모형이 비 교적 만족스러운 결과를 나타내었다. 이는 우리나라 대도시의 경우 소득계층에 따라 교통수 단선택범위가 한정되기 때문이다. 마지막으로 고소득층과 저소득층의 시간가치를 각각 산정 하였는바, 이는 교통시간의 매개변수와 교통비용의 매개변수를 나눔으로서 구해질 수 있다. 시간가치는 고소득층은 910원 저소득층은 582원으로 각각 산출되었다.

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Predict a bus arrival time from traffic volume of surrounding roads (주변 도로의 교통량 Pattern을 학습 및 적용한 버스도착시간 예측)

  • Ryu, Jong-Bin;Lee, Chan-Gun;Kang, Hyun-Chul;Park, Ho-Hyun
    • Proceedings of the KAIS Fall Conference
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    • 2009.05a
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    • pp.672-675
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    • 2009
  • BMS(Bus Management System)의 핵심인 버스도착예정시간을 산출하는 데 있어서 기존 대부분의 도시에서는 시계열 모형의 이동평균법, 칼만필터링 등으로 버스도착예정시간을 예측하고 있으나 이는 급격한 통행량의 변화 또는 급작스러운 사고, 신호체계 등에 적응 할 수 없다. 따라서 본 논문에서는 주변 도로의 통행량에 따른 버스의 정류장 도착시간을 예측하는 방법을 제안 한다. 주변 도로의 통행량과 실제 버스의 통행시간을 실측하여 기록, 학습하고 모델링하여 미래의 버스의 운행시간을 예측하는 방법이다. 또, 이동평균법에 의한 버스도착시간 예측결과와 본 논문에서 제안하는 결과와 비교, 분석하였다.

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A Study of Travel Time Prediction using K-Nearest Neighborhood Method (K 최대근접이웃 방법을 이용한 통행시간 예측에 대한 연구)

  • Lim, Sung-Han;Lee, Hyang-Mi;Park, Seong-Lyong;Heo, Tae-Young
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.835-845
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    • 2013
  • Travel-time is considered the most typical and preferred traffic information for intelligent transportation systems(ITS). This paper proposes a real-time travel-time prediction method for a national highway. In this paper, the K-nearest neighbor(KNN) method is used for travel time prediction. The KNN method (a nonparametric method) is appropriate for a real-time traffic management system because the method needs no additional assumptions or parameter calibration. The performances of various models are compared based on mean absolute percentage error(MAPE) and coefficient of variation(CV). In real application, the analysis of real traffic data collected from Korean national highways indicates that the proposed model outperforms other prediction models such as the historical average model and the Kalman filter model. It is expected to improve travel-time reliability by flexibly using travel-time from the proposed model with travel-time from the interval detectors.

Suggesting a Demand Forecasting Technique Explicitly Considering Transfers In Light Rail Transit Protect Analysis (신교통수단 건설사업에 있어 환승을 반영한 교통수요 예측기법)

  • Kim, Ik-Gi;Han, Geun-Su;Bang, Hyeong-Jun
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.197-205
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    • 2006
  • The study suggested a demand forecasting method which explicitly reflects transfer between various transport modes especially related light rail transit project with multi-modal transit system. The suggested method classifies several groups depending on characteristic of trips and applies different demand model for each group to explain travel pattern more realistically More specifically. the trips was classified by trips within the LRT route, trips between inside and outside of the LRT route. and through trips via the LRT route. The study also suggested a evaluation measurement of time saving due to the LRT construction, which are consistent along with the do-case and the do-nothing-case even though some mode shift could be happen after introducing the LRT.

An Expressway Path Travel Time Estimation Using Hi-pass DSRC Off-Line Travel Data (하이패스 DSRC 자료를 활용한 고속도로 오프라인 경로통행시간 추정기법 개발)

  • Shim, Sangwoo;Choi, Keechoo;Lee, Sangsoo;NamKoong, Seong J.
    • Journal of Korean Society of Transportation
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    • v.31 no.3
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    • pp.45-54
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    • 2013
  • Korea Expressway Corporation has been utilizing vehicles equipped with dedicated short range communication (DSRC) based on-board equipment (OBE) for collecting path travel times. A path based method (PBM) estimates the path travel time using probe vehicles traveling whole links on the path, so it is not always possible to obtain sufficient samples for calculating path travel time in the DSRC system. Having this problem in utilizing DSRC for travel time information, this study attempted to estimate path travel time with the help of a link based method (LBM) and examined whether the LBM can be used for obtaining reliable path travel times. Some comparisons were made and identified that the MAPE difference between the LBM and the PBM estimates are less than 3%, signaling that LBM can be used as a proxy for PBM in case of sparse sample conditions. Some limitations and a future research agenda have also been proposed.

Designing A V2V based Traffic Surveillance System and Its Functional Requirements (V2V기반 교통정보수집체계 설계 및 요구사항분석)

  • Hong, Seung-Pyo;Oh, Cheol;Kim, Won-Kyu;Kim, Hyun-Mi;Kim, Tae-Hyung
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.251-264
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    • 2008
  • One of the crucial elements to fully facilitate the various benefits of intelligent transportation systems (ITS) is to obtain more reliable traffic monitoring in real time. To date, point and section-based traffic measurements have been available through existing surveillance technologies, such as loops and automatic vehicle identification (AVI) systems. However, seamless and more reliable traffic data are required for more effective traffic information provision and operations. Technology advancements including vehicle tracking and wireless communication enable the acceleration of the availability of individual vehicle travel information. This study presents a UBIquitous PRObe vehicle Surveillance System (UBIPROSS) using vehicle-to-vehicle (V2V) wireless communications. Seamless vehicle travel information, including origin-destination information, speed, travel times, and other data, can be obtained by the proposed UBIPROSS. A set of parameters associated with functional requirements of the UBIPROSS, which include the market penetration rate (MPR) of equipped vehicles, V2V communication range, and travel time update interval, are investigated by a Monte Carlo simulation- (MCS) based evaluation framework. In addition, this paper describes prototypical implementation. Field test results and identified technical issues are also discussed. It is expected that the proposed system would be an invaluable precursor to develop a next-generation traffic surveillance system.

Link Travel Time Estimation and Evaluation of Applicability to Traffic Information Collection Based RFID Probe Data (RFID 기반의 통행시간 추정 기법 개발 및 교통정보수집 적용가능성 평가)

  • Shim, Sang-Woo;Choi, Kee-Choo;Lee, Kyun-Jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.6 no.2
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    • pp.15-25
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    • 2007
  • This paper aims at testing the applicability of RFID (radio frequency identification) based link travel time estimation algorithm in urban street settings in Jeju island Korea. For this, we developed algorithm and compared link travel times derived from the RFID probe based algorithm with those from (already available) GPS based link travel time estimation algorithm and with the actual link travel times from survey. RFID readers are composed of master reader and slave reader and the participating passenger cars were supposed to be equipped with RFID tag inside the vehicle. The data were sent to traffic information center and we used those data in comparison. The algorithm produced link travel times in a successful manner and the accuracy of those link travel times was about 88%. For the same link segments, the accuracy of GPS based link travel times was 93%. The t-test showed that both RFID and GPS based link travel times were not different in accuracy from statistical point of view. The applicability of RFID was tested successfully and the algorithm proposed seemed to be used in similar urban settings. Some limits and future research agenda have also been presented.

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