한국해양대학교

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실시간 교통특성에 기초한 도시고속도로 IC 합류부의 지체예측모형 구축에 관한 연구

Title
실시간 교통특성에 기초한 도시고속도로 IC 합류부의 지체예측모형 구축에 관한 연구
Alternative Title
Delay Predictive Modeling on the Merge Sections of Urban Freeway Interchange based on Real-Time Traffic Characteristics
Author(s)
金京珍
Publication Year
2003
Publisher
韓國海洋大學校
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173936
http://repository.kmou.ac.kr/handle/2014.oak/9629
Abstract
Urban freeway, which is defined as a divided highway with full control of access and two or more lanes for the exclusive use of traffic in each direction, means a high-speed and high-volume network for travel in the big city. However, most of the urban freeways are undergoing a severe traffic congestion because of increased traffic concentrated on the urban freeway. Thus, the purpose of this study is to investigate the real-time traffic characteristics, analyze the relationships between the real-time traffic characteristics, and finally construct the travel delay predictive models on the merge sections in the most congested urban freeway interchange in Busan city.


From the traffic characteristic analyses, construction and verification for the delay predictive models on the merge sections of the urban freeway interchange under the study, the following conclusions were drawn
i) Traffic flow showed a big difference depending on the time periods in the urban freeway interchange. Particularly more traffic were concentrated on the urban freeway interchange in the daytime period when compared with the nighttime period.


ii) Traffic flow also showed a quite difference depending on the travel directions in the urban freeway interchange. Particularly more traffic were concentrated on the urban freeway interchange in the inbound direction when compared with the outbound direction.


iv) The delay predictive models showed a higher explanatory power in the inbound direction and the daytime period, but a lower explanatory power in the outbound direction and the nighttime period.
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토목환경공학과 > Thesis
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000002173936.pdf Download

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