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A Study on Traffic Flow Diagrams to Classify Traffic States of Incident Detection  

Kim, Sang-Gu (전남대학교 교통물류학부)
Kim, Yeong-Chun (전남대학교 교통물류학과)
Publication Information
Journal of Korean Society of Transportation / v.24, no.3, 2006 , pp. 39-50 More about this Journal
Abstract
This study aims to introduce a basic principle to improve the incident detection algorithm using traffic flow diagrams that can classify traffic states with a high reliability on the basis of the analysis of traffic flow characteristics under the recurrent or incident congestions. It is tried to newly classify the traffic states with the speed-flow and speed-occupancy diagrams. This is because McMaster algorithm has a tendancy on not identifying the traffic states exactly using the flow-occupancy diagram. In this study it shows that the classification of traffic states is applicable to use speed-occupancy relationship Therefore, it is necessary to determine some parameters to correctly classify the areas representing the traffic states and it may be possible to develop a new algorithm to detect the incident with a high reliability.
Keywords
돌발상황;반복정체;교통량;속도;점유율;
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