Abstract
This paper presents the two applications of the two-fluid model: characterizing the network performance of a subnetwork in Seoul (Seoul Kangnam network), and analyzing the snowing impact on the network wide performance. More than ten thousand probe data each day were collected and analyzed. The data contains moving and stopping times with their positions. According to the comparison with other cities in literature, the Seoul Kangnam network has lower parameter n (about 0.90) and higher parameter m T (about 2.17) in normal traffic condition. Therefore, the Seoul Kangnam network turned out to need operational improvement during off-peak period but to keep sustainable network performance during peak period. The prominent parameter change was observed. About three days were needed to recover the normal network performance after snowing in the example cases. This paper shows the potential usefulness of the two-fluid model in quickly evaluating various network wide impact including snowing, raining, construction etc.
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