An Agent-Based Study on Simulation of Personalized Information Service

摘要

Nowadays, the scholars are aware of the importance to develop personalized information service ITS. All studies start from the information itself and its influence without considering the individual's needs for trip information. There is no idiographic implementation approach on how to improve personalized service grade and how to realize it, just considering the integrity, accuracy, real-time character and the phenomenon that travelers make wrong choices or overreact because of masses of information . This paper employs Starlogo software to simulate personalized drive information serve. By simulating dynamic network made of ordinary information serve traveler and personalized information serve traveler, obtain data such as total trip time, trip distance, real-time traffic flow distribution, average speed changing curve and simulating time. With these data, we can analysis the function that personalized information serve used in ITS and how administration adjust information maneuver to provide travelers information serve and improve traffic environment.