• Title/Summary/Keyword: 화물자동차 O/D

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Estimation of Expressway O/D Matrices from TCS data by Using Video Survey Data for Vehicle Classification: Focused on Truck (차종구분 영상조사 자료를 활용한 TCS기반 고속도로 O/D 구축: 화물자동차 중심으로)

  • Shin, Seungjin;Park, Dongjoo;Choi, Yoonhyeok;Jeong, Soyeong;Heo, Eunjin;Ha, Dongik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.1
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    • pp.136-146
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    • 2013
  • Truck demand analysis based on TCS data has limitation in that TCS data can not provide truck O/D data for each type of truck vehicle. This study conducted video survey for classifying truck vehicle types. By using TCS data and vehicle ratio by region/cities type, truck O/D data on expressway were estimated. It was found that average travel distances of small truck, medium truck and large truck were 52km/veh, 56km/veh and 97km/veh, respectively by analysing truck O/D data estimated in this study. The reliability analysis showed that check points where error rate is lower than 30% comprise of 87.3%. It is considered that estimated O/D data by truck vehicle types would be useful for the analysis of truck demand of expressway.

A Study on the Weighting and Expansion of Sample O-D Freight Data, Focusing on the Seoul Metropolitan Area (대도시권 화물 기종점 통행량 전수화에 관한 연구 - 수도권 지역을 중심으로 -)

  • Kim, Kang-Soo;Cho, Hey-Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.755-761
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    • 2006
  • Though freight origin and destination data is essential for analysing transport investment and planning logistics facilities, the study on the establishment of the freight origin and destination data is very rare. The purpose of this study is to introduce a method on weight and expansion of sample freight data focusing on the Seoul metropolitan area. In particular, this study suggests the weight and expansion method which consider truck and commodity tonnage together. This paper also discuss the origin and destination trips in Seoul metropolitan area. This paper will contribute to establish more reliable freight origin and destination data.

A Study on the Forecasting of Container Freight Volume for Donghae Port and Sokcho Port (동해항 및 속초항의 컨테이너물동량 예측에 관한 연구)

  • Jo, Jin-Haeng;Kim, Jae-Jin
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.83-104
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    • 2010
  • The purpose of this paper is to prepare container port policy and to contribute to the regional economy by forecasting of the container freight volume for the Donghae Port and Sokcho Port. As a methodology a survey and O/D technique were adopted. O/D technique was applied to the container freight data of Korea Maritime Institute. The main results of this paper are as follows: First, it is adviserable that Gangwondo Province should adopt incentive program of 100,000 won Per TEU rather than 50,000 won per TEU. Secondly, container freight volume for Donghae Port and Sokcho Port is forecast to be 22,388 TEU in 2010, 152,367 TEU in 2015 and 354,217 TEU from 6,653 TEU in 2008. Thirdly, joint port marketing is required for the Donghae Port and Sokcho Port in terms of same region in one hour drive.

Supply Chain-based Freight Distribution Channel Choice Model using Distribution Channel Analysis (유통경로분석을 통한 공급사슬기반의 화물유통경로선택모형 개발)

  • Go, Yeong-Seung;Park, Dong-Ju;Kim, Chan-Seong;Kim, Hyeon-Su;Park, Min-Cheol
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.133-146
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    • 2010
  • The objective of this study is to develop a supply chain-based freight distribution channel choice model considering shippers' logistics behaviors which will be used for freight demand estimation. For this purpose, this study utilized the distribution channel data of the petrochemical and automobile industries collected by KTDB center. The distribution channel choice models for these industries were developed by including transport mode, time, cost, and shipment size. It was found that the multinomial logit model with transport cost, time and shipment size is the best, and as shipment increases, bigger transport mode is preferred. Generally direct distribution channel with small truck was preferred over the one using distribution center and/or big truck.

A Study on Selective Catalytic Reduction on Diesel Particulate Filter Catalyst and Coating Technology the Removal of Particulate Matters and NOx for Old Special Cargo Vehicles (노후 특수·화물 차량 PM/NOx 저감을 위한 SDPF 촉매 및 코팅 기술 연구)

  • Jeong, Kwanhyoung;Seo, Philwon;Oh, Hungsuk;Kim, Jongkook;Kang, Soyeon;Kang, Jeongho;Kim, Hyunjun;Shin, Byeongseon
    • Applied Chemistry for Engineering
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    • v.32 no.6
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    • pp.695-699
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    • 2021
  • In this study, Selective Catalytic Reduction on Diesel Particulate Filter (SDPF) after-treatment system was introduced to simultaneously remove NOx and Particulate Matters (PM) emitted from trucks and special cargo vehicles using old engine. First, in order to select an Selective Catalytic Reduction (SCR) catalyst for SDPF, the de-NOx performance of V/TiO2 and Cu-Zeolite catalysts were compared, and the SCR catalyst characteristics were analyzed through Brunauer Emmett Teller (BET), X-ray Diffraction (XRD) and NH3-TPD (Temperature Programmed Desorption). From the activity test results, the Cu-zeolite catalyst showed the best thermal stability. For optimal coating of SDPF, slurry was prepared according to the target particle size. From the coating stability and back pressure test results of SDPF according to the amount of SCR coating, As a result of comparing coating stability, back pressure, and de-NOx performance by producing A, B, and C samples for each loading amount of the SDPF catalyst, the best results were found in the B sample. The engine dynamometer test was conducted for the optimal SDPF after-treatment system, and the test results satisfied Eu-5 regulations.