2005 年 8 巻 p. 259-266
The simulation intended for the real social systems has been performed on each domain. However, it is necessary to deal with as one system including natural environmento understand the entire intertwined object complexly. In this paper, interaction of a traffic system and natural environment is inquired by integrating a traffic simulation system and a local area wind energy prediction system. In that case, several issues will occur owing to a difference of the scale to be governed in the events. Therefore, we may separate scale-dependent effects in each event, and assume model on each scale. And then, a method of verification or validation of the models is considered At this point, we need model validation method linking between each scale. This paper describes a micro-level validation method in a traffic simulation including interaction of natural environment Clustering spatio-temporal datasets is proposed as the validation method. It is shown that a spatio-temporal data obtained from the movement of each vehicle can be clustered in a space constructed from the summation of absolute values of the accelerations and the average of OV function proposed by Bando et al., or the average of the velocities.