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http://dx.doi.org/10.12815/kits.2020.19.5.40

Study on the Adequacy and Improvement of the Threshold Speed of Expressway Congestion  

Lee, Sujin (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Techology)
Ko, Eunjeong (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Techology)
Jang, Kitae (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Techology)
Park, Sungho (Dept. of Transportation Eng., Ajou University)
Park, Jaebeom (Transportation Research Div., Korea Expressway Corporation Research Institute)
Yun, Ilsoo (Dept. of Transportation Eng., Ajou University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.5, 2020 , pp. 40-51 More about this Journal
Abstract
Much time has passed since Korea's expressway congestion-threshold speed was revised in 2011. In the meantime, various expressway environments have changed owing to improved performance of vehicles, expanded operations of transport competition (i.e., the KTX), and increased speed limits along some expressway sections. In addition, the speed that expressway users expect to travel at is also increasing. Therefore, through a survey, this study investigates expressway users' perceptions of congestion, and reviews the adjustment of the expressway speed congestion threshold by analyzing expressway traffic flow. One result of the survey confirms that the threshold speed expressway users consider to be congestion has slightly increased. Analyzing traffic and speed data through a K-means algorithm found that the threshold speed for congestion is 60 km/h. In addition, assuming the congestion threshold speed increase from 40 km/h to 50 km/h and 60 km/h, frequently congested expressway sections are identified, determining that 50 km/h is appropriate as a congestion threshold for proper expressway mobility management.
Keywords
Expressway; Congestion threshold speed; K-means algorithm; Frequent congestion expressway section;
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