A STUDY ON THE APPLICABILITY OF MICRO-SIMULATION SYSTEMS FOR GRASPING TRAFFIC CONDITION USING REAL-TIME OBSERVATION DURING A TYPHOON DISASTER

Abstract

Traffic condition during a disaster is extremely difficult to understand and predict in advance because it varies depending on various factors such as the damage. On the other hands, micro-simulations have been used to predict and re-produce the daily activities and traffic conditions. In this situation, real-time observation data has been collected, and ap-plied in non-stationary situation. Therefore, this study examines the possibility of constructing a simulation model that is combined with the observation data and predicted the behavior and traffic during disaster time. The results indicate the validity of this approach through the empirical trial.