• Title/Summary/Keyword: transportation model

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A Study on the Modal Split Model Using Zonal Data (존 데이터 기반 수단분담모형에 관한 연구)

  • Ryu, Si-Kyun;Rho, Jeong-Hyun;Kim, Ji-Eun
    • Journal of Korean Society of Transportation
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    • v.30 no.1
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    • pp.113-123
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    • 2012
  • This study introduces a new type of a modal split model that use zonal data instead of cost data as independent variables. It has been indicated that the ones using cost data have deficiencies in the multicollinearity of travel time and cost variables and unpredictability of independent variables. The zonal data employed in this study include (1) socioeconomic data, (2) land use data and (3) transportation system data. The test results showed that the proposed modal split model using zonal data performs better than the other does.

Strain demand prediction method for buried X80 steel pipelines crossing oblique-reverse faults

  • Liu, Xiaoben;Zhang, Hong;Gu, Xiaoting;Chen, Yanfei;Xia, Mengying;Wu, Kai
    • Earthquakes and Structures
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    • v.12 no.3
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    • pp.321-332
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    • 2017
  • The reverse fault is a dangerous geological hazard faced by buried steel pipelines. Permanent ground deformation along the fault trace will induce large compressive strain leading to buckling failure of the pipe. A hybrid pipe-shell element based numerical model programed by INP code supported by ABAQUS solver was proposed in this study to explore the strain performance of buried X80 steel pipeline under reverse fault displacement. Accuracy of the numerical model was validated by previous full scale experimental results. Based on this model, parametric analysis was conducted to study the effects of four main kinds of parameters, e.g., pipe parameters, fault parameters, load parameter and soil property parameters, on the strain demand. Based on 2340 peak strain results of various combinations of design parameters, a semi-empirical model for strain demand prediction of X80 pipeline at reverse fault crossings was proposed. In general, reverse faults encountered by pipelines are involved in 3D oblique reverse faults, which can be considered as a combination of reverse fault and strike-slip fault. So a compressive strain demand estimation procedure for X80 pipeline crossing oblique-reverse faults was proposed by combining the presented semi-empirical model and the previous one for compression strike-slip fault (Liu 2016). Accuracy and efficiency of this proposed method was validated by fifteen design cases faced by the Second West to East Gas pipeline. The proposed method can be directly applied to the strain based design of X80 steel pipeline crossing oblique-reverse faults, with much higher efficiency than common numerical models.

A Development of the Traffic Signal Progression Model for Tram and Vehicles (간선도로 트램 전용차로에서 트램과 일반차량을 위한 신호최적화 모형 개발)

  • Lee, In-Kyu;Kim, Youngchan
    • Journal of Korean Society of Transportation
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    • v.32 no.3
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    • pp.280-292
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    • 2014
  • A tram has been the focus of a new public transportation that can solve a traffic jam, decreasing of public transit usage and environmental problem in recent years. This study aims to develop a signal optimization model for considering the traffic signal progression of tram and vehicles, when they are operated simultaneously in the same signalized intersections. This research developed the KS-SIGNAL-Tram model to obtain a minimum tram bandwidth and to minimize a vehicle's delay to perform a tram passive signal priority, it is based on the KS-SIGNAL model and is added to the properties of a tram and it's system. We conducted a micro simulation test to evaluate the KS-SIGNAL-Tram model, it showed that the developed optimization model is effective to prevent a tram's stop on intersection, to reduce a tram's travel time and vehicle's delay.

Development of O/D Based Mobile Emission Estimation Model (기종점 기반의 도로이동오염원 배출량 추정모형)

  • Lee, Kyu Jin;Choi, Keechoo;Ryu, Sikyun;Baek, Seung Kirl
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.2D
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    • pp.103-110
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    • 2012
  • This study presents O/D based emission estimation model and methodology under cold- and hot-start conditions. Contrasting with existing link-based model, new model is able to estimate cold-start emissions with actual traffic characteristics. The results of the case study with new model show similar amount of emission with existing model under hot-start conditions, but five times much more than existing model under cold-start conditions. The annual social benefit estimated by this model is 56.2 hundred million won, which is 48% higher than the result from existing model. It means current green transportation policies are undervalued in terms of air quality improvement. Therefore, New model is expected to improve the objectivity of air quality evaluation results regarding green transportation policies and be applied in various transportation-environment policies.