Abstract
It is difficult to macroscopically characterize urban transportation network with various traffic operation components. Two-fluid model that was suggested by Herman and Prigogine (1979) is well known as a predominant method based on traffic flow theory, which provides a macroscopic measure of the quality of traffic service in an urban transportation network. The two-fluid model needs individual probe vehicle data such as total travel time, stop and running time per unit distance. Therefore, it is very difficult to collect these input data for practical applications.
This paper presents the application of GPS data to the two-fluid model for the “Kangnam” supernetwork in Seoul. The result shows that the GPS data is reliable to estimate the two-fluid model parameters. There are many applications of two-fluid model to urban transportation network in the world, and if more researches are conducted, it is obvious that the two-fluid model would be a useful method to analyze urban transportation network theoretically.
