AN ADAPTIVE AGENT SIMULATION OF TRANSPORTATION SYSTEM CONSIDERING BOTH DEPARTURE TIME AND ROUTE CHOICE

Abstract

Theories and technique of “soft computing” have been progressing rapidly partially because of high computing ability. In the soft computing, modeling is flexible, and we can promisingly carry out transportation research from a different standpoint from the previous ones. We apply “agent technique,” which is one of soft computing, to analyze behavior of a transportation system. We make a transportation system model as an aggregate of adaptive agents, who choose departure time and route simultaneously, and make an analysis of the day-to-day dynamics and behavior of agents.