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http://dx.doi.org/10.12652/Ksce.2011.31.5D.623

Development of Incident Detection Method for Interrupted Traffic Flow by Using Latin Square Analysis  

Mo, Mooki ((주)엠케이이엔지)
Kim, Hyung Jin (연세대학교 도시공학과)
Son, Bongsoo (연세대학교 도시공학과)
Kim, Dae Hun ((주)평화엔지니어링 교통계획부)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.5D, 2011 , pp. 623-631 More about this Journal
Abstract
In this study, a new method which can detect incidents in interrupted traffic flow was suggested. The applied method of detecting the incident is the Latin Square Analysis Method by using traffic traits. In the Latin Square Analysis, unlike other previously tried methods, the traffic situation was analyzed, this time considering the changes in traffic traits for each lane and for each time period. The data used in this study were the data observed in the actual field with fine weather. The traffic volumes, the vehicle speed and the occupancy rate were collected on the interrupted flow road. The data were collected in normal and incident situations. The incidents occurred on the second lane, the time of persistent incidents was set to 10 minutes. The Latin Square Analyses were performed using the collected data with the traffic volume, with the vehicle speed or with the occupancy rate. As a result in this study, in case of detecting the traffic situations with Latin Square Analysis, it will be more successful to apply traffic volume to detect the traffic situations than to apply other factors.
Keywords
interrupted flow; incident detection; Latin Square Analisys; incident detection rate; false alarm rate;
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