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Journal of Korean Society of Transportation
Article . 2012 . Peer-reviewed
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A Critical Gap Model for Roundabouts in Korea

국내 회전교차로의 임계간격 모형
Authors: Tae-Young Kim; Min-Kyu Park; Byung-Ho Park;

A Critical Gap Model for Roundabouts in Korea

Abstract

Abstract This study dealt with the critical gap of roundabouts in Korea. The objective was to develop a model to derive critical gaps by analyzing gap acceptance patterns. In this context, the present study had a particular emphasis on collecting the data for accepted or rejected gaps. The main contributions of the study were as follows. First, accepted or rejected gaps were counted and measured through video frame analysis on the traffic patterns of 20 roundabouts in Korea. Based on the data, a gap acceptance model, guaranteeing the statistical significant in their parameters, was developed in the framework of the Logit model. Second, the critical gap calculated from the developed model was evaluated to be 2.584 seconds as a whole. Also, the critical gap in urban areas was estimated to be 2.744 seconds, whilst the critical gap in rural areas was estimated to be 2.416 seconds. Finally, critical gaps of roundabout in Korea were found to be smaller than those in foreign countries by about 1.5~2.5 seconds.이 연구는 국내 회전교차로의 임계간격을 다루고 있다 . 이 연구의 목적은 국내 회전교차로의 수락 및 거절간격 모형을 개발하고, 회전교차로의 임계간격을 도출하는데 있다 . 이를 위해 이 연구에서는 국내 20개 회전교차로의 수락간격과 거절간격 자료를 수집하는데 중점을 두고 있다 . 연구의 주요결과는 다음과 같다 . 첫째, 국내 20개 회전교차로 통행에 대한 동영상 프레임분석을 통해 수락간격과 거절간격이 측정하였다 . 이러한 자료를 바탕으로 로짓모형을 이용하여 통계적으로 유의한 수락간격 모형이 개발되었다 . 둘째, 위의 개발된 모형을 바탕으로 산출된 회전교차로의 임계간격은 2.584초로 분석되었다. 아울러 도시지역의 임계간격은 2.744초, 지방지역은 2.416초인 것으로 분석되었다. 마지막으로 국내 회전교차로의 임계간격이 국외 회전교차로의 임계간격 보다 약 1.5~2.5초 더 적은 것으로 평가되었다.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
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